From 656f6a3beb36e8dabf84f7ca03abf3315c4c757a Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 14:59:23 -0800 Subject: [PATCH 01/88] mandatory cols: lon, lat, elev, id * also simplify some of the test data --- R/append_clim_vars.R | 52 +++++++++++++-------------- R/downscale.R | 21 +++++------ R/gcm.R | 6 ++-- tests/testthat/test-cache.R | 34 ++++++++---------- tests/testthat/test-calcfuns.R | 10 ++++-- tests/testthat/test-climr_downscale.R | 13 +++---- tests/testthat/test-downscale.R | 16 ++++----- tests/testthat/test-gcm_input.R | 44 ++++++++--------------- tests/testthat/test-get_bb.R | 19 +++++----- tests/testthat/test-historic_input.R | 26 ++++++-------- tests/testthat/test-normal_input.R | 13 +++---- 11 files changed, 111 insertions(+), 143 deletions(-) diff --git a/R/append_clim_vars.R b/R/append_clim_vars.R index 005fbcc6..2695af0c 100644 --- a/R/append_clim_vars.R +++ b/R/append_clim_vars.R @@ -113,40 +113,40 @@ append_clim_vars <- function(dt, vars) { set(dt, j = "Tave12", value = (v("Tmax12") + v("Tmin12")) / 2) }, "PET01" = function() { - set(dt, j = "PET01", value = calc_PET(v("Tave01"), v("Tmin01"), v("Tmax01"), v("Elev"))) + set(dt, j = "PET01", value = calc_PET(v("Tave01"), v("Tmin01"), v("Tmax01"), v("elev"))) }, "PET02" = function() { - set(dt, j = "PET02", value = calc_PET(v("Tave02"), v("Tmin02"), v("Tmax02"), v("Elev"))) + set(dt, j = "PET02", value = calc_PET(v("Tave02"), v("Tmin02"), v("Tmax02"), v("elev"))) }, "PET03" = function() { - set(dt, j = "PET03", value = calc_PET(v("Tave03"), v("Tmin03"), v("Tmax03"), v("Elev"))) + set(dt, j = "PET03", value = calc_PET(v("Tave03"), v("Tmin03"), v("Tmax03"), v("elev"))) }, "PET04" = function() { - set(dt, j = "PET04", value = calc_PET(v("Tave04"), v("Tmin04"), v("Tmax04"), v("Elev"))) + set(dt, j = "PET04", value = calc_PET(v("Tave04"), v("Tmin04"), v("Tmax04"), v("elev"))) }, "PET05" = function() { - set(dt, j = "PET05", value = calc_PET(v("Tave05"), v("Tmin05"), v("Tmax05"), v("Elev"))) + set(dt, j = "PET05", value = calc_PET(v("Tave05"), v("Tmin05"), v("Tmax05"), v("elev"))) }, "PET06" = function() { - set(dt, j = "PET06", value = calc_PET(v("Tave06"), v("Tmin06"), v("Tmax06"), v("Elev"))) + set(dt, j = "PET06", value = calc_PET(v("Tave06"), v("Tmin06"), v("Tmax06"), v("elev"))) }, "PET07" = function() { - set(dt, j = "PET07", value = calc_PET(v("Tave07"), v("Tmin07"), v("Tmax07"), v("Elev"))) + set(dt, j = "PET07", value = calc_PET(v("Tave07"), v("Tmin07"), v("Tmax07"), v("elev"))) }, "PET08" = function() { - set(dt, j = "PET08", value = calc_PET(v("Tave08"), v("Tmin08"), v("Tmax08"), v("Elev"))) + set(dt, j = "PET08", value = calc_PET(v("Tave08"), v("Tmin08"), v("Tmax08"), v("elev"))) }, "PET09" = function() { - set(dt, j = "PET09", value = calc_PET(v("Tave09"), v("Tmin09"), v("Tmax09"), v("Elev"))) + set(dt, j = "PET09", value = calc_PET(v("Tave09"), v("Tmin09"), v("Tmax09"), v("elev"))) }, "PET10" = function() { - set(dt, j = "PET10", value = calc_PET(v("Tave10"), v("Tmin10"), v("Tmax10"), v("Elev"))) + set(dt, j = "PET10", value = calc_PET(v("Tave10"), v("Tmin10"), v("Tmax10"), v("elev"))) }, "PET11" = function() { - set(dt, j = "PET11", value = calc_PET(v("Tave11"), v("Tmin11"), v("Tmax11"), v("Elev"))) + set(dt, j = "PET11", value = calc_PET(v("Tave11"), v("Tmin11"), v("Tmax11"), v("elev"))) }, "PET12" = function() { - set(dt, j = "PET12", value = calc_PET(v("Tave12"), v("Tmin12"), v("Tmax12"), v("Elev"))) + set(dt, j = "PET12", value = calc_PET(v("Tave12"), v("Tmin12"), v("Tmax12"), v("elev"))) }, "CMI" = function() { set(dt, j = "CMI", value = v("PPT") - (v("PET01") + v("PET02") + v("PET03") + v("PET04") + v("PET05") + v("PET06") + v("PET07") + v("PET08") + v("PET09") + v("PET10") + v("PET11") + v("PET12"))) @@ -260,40 +260,40 @@ append_clim_vars <- function(dt, vars) { set(dt, j = "RH12", value = calc_RH(v("Tmin12"), v("Tmax12"))) }, "Eref01" = function() { - set(dt, j = "Eref01", value = calc_Eref(1, v("Tmin01"), v("Tmax01"), v("Lat"))) + set(dt, j = "Eref01", value = calc_Eref(1, v("Tmin01"), v("Tmax01"), v("lat"))) }, "Eref02" = function() { - set(dt, j = "Eref02", value = calc_Eref(2, v("Tmin02"), v("Tmax02"), v("Lat"))) + set(dt, j = "Eref02", value = calc_Eref(2, v("Tmin02"), v("Tmax02"), v("lat"))) }, "Eref03" = function() { - set(dt, j = "Eref03", value = calc_Eref(3, v("Tmin03"), v("Tmax03"), v("Lat"))) + set(dt, j = "Eref03", value = calc_Eref(3, v("Tmin03"), v("Tmax03"), v("lat"))) }, "Eref04" = function() { - set(dt, j = "Eref04", value = calc_Eref(4, v("Tmin04"), v("Tmax04"), v("Lat"))) + set(dt, j = "Eref04", value = calc_Eref(4, v("Tmin04"), v("Tmax04"), v("lat"))) }, "Eref05" = function() { - set(dt, j = "Eref05", value = calc_Eref(5, v("Tmin05"), v("Tmax05"), v("Lat"))) + set(dt, j = "Eref05", value = calc_Eref(5, v("Tmin05"), v("Tmax05"), v("lat"))) }, "Eref06" = function() { - set(dt, j = "Eref06", value = calc_Eref(6, v("Tmin06"), v("Tmax06"), v("Lat"))) + set(dt, j = "Eref06", value = calc_Eref(6, v("Tmin06"), v("Tmax06"), v("lat"))) }, "Eref07" = function() { - set(dt, j = "Eref07", value = calc_Eref(7, v("Tmin07"), v("Tmax07"), v("Lat"))) + set(dt, j = "Eref07", value = calc_Eref(7, v("Tmin07"), v("Tmax07"), v("lat"))) }, "Eref08" = function() { - set(dt, j = "Eref08", value = calc_Eref(8, v("Tmin08"), v("Tmax08"), v("Lat"))) + set(dt, j = "Eref08", value = calc_Eref(8, v("Tmin08"), v("Tmax08"), v("lat"))) }, "Eref09" = function() { - set(dt, j = "Eref09", value = calc_Eref(9, v("Tmin09"), v("Tmax09"), v("Lat"))) + set(dt, j = "Eref09", value = calc_Eref(9, v("Tmin09"), v("Tmax09"), v("lat"))) }, "Eref10" = function() { - set(dt, j = "Eref10", value = calc_Eref(10, v("Tmin10"), v("Tmax10"), v("Lat"))) + set(dt, j = "Eref10", value = calc_Eref(10, v("Tmin10"), v("Tmax10"), v("lat"))) }, "Eref11" = function() { - set(dt, j = "Eref11", value = calc_Eref(11, v("Tmin11"), v("Tmax11"), v("Lat"))) + set(dt, j = "Eref11", value = calc_Eref(11, v("Tmin11"), v("Tmax11"), v("lat"))) }, "Eref12" = function() { - set(dt, j = "Eref12", value = calc_Eref(12, v("Tmin12"), v("Tmax12"), v("Lat"))) + set(dt, j = "Eref12", value = calc_Eref(12, v("Tmin12"), v("Tmax12"), v("lat"))) }, "CMD01" = function() { set(dt, j = "CMD01", value = calc_CMD(v("Eref01"), v("PPT01"))) @@ -674,11 +674,11 @@ append_clim_vars <- function(dt, vars) { } # Remove unwanted variables - j_out <- names(dt)[!names(dt) %in% c("ID", "GCM", "SSP", "RUN", "PERIOD", vars)] + j_out <- names(dt)[!names(dt) %in% c("id", "GCM", "SSP", "RUN", "PERIOD", vars)] if (length(j_out)) { set(dt, j = j_out, value = NULL) } # Reorder to match vars - setcolorder(dt, c(names(dt)[names(dt) %in% c("ID", "GCM", "SSP", "RUN", "PERIOD")], vars)) + setcolorder(dt, c(names(dt)[names(dt) %in% c("id", "GCM", "SSP", "RUN", "PERIOD")], vars)) } diff --git a/R/downscale.R b/R/downscale.R index 1afba919..aec52c00 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -39,18 +39,20 @@ #' library(terra) #' set.seed(123) #' dbCon <- data_connect() -#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10)) +#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10), +#' id = 1:10) #' #' ## get bounding box based on input points #' thebb <- get_bb(xyz) #' historic <- historic_input(dbCon, thebb, period = "2001_2020") #' plot(historic[[1]][[2]]) #' -#' ## provide or create a long, lat, elev, and optionally id, dataframe - usually read from csv file -#' in_xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, +#' ## provide or create a lon, lat, elev, and optionally id, dataframe - usually read from csv file +#' in_xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, #' -127.18585, -127.1254, -126.94957, -126.95507), -#' Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), -#' Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), +#' lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), +#' elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), +#' id = 1:8, #' Zone = c(rep("CWH",3), rep("CDF",5)), #' Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) #' @@ -398,8 +400,7 @@ downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, g IDcols <- names(res)[!names(res) %in% vars] setkeyv(res, IDcols) if (out_spatial) { - names(xyz)[4] <- "ID" - res <- as.data.table(xyz)[res, on = "ID"] + res <- as.data.table(xyz)[res, on = "id"] res <- vect(res, geom = names(xyz)[1:2], crs = crs(normal, proj = TRUE)) @@ -576,7 +577,7 @@ downscale_ <- function(xyzID, normal, gcm, gcm_ts, gcm_hist, # Melt gcm_ and set the same key for merging normal_ <- melt( setDT(normal_), - id.vars = c("ID", "Lat", "Elev"), + id.vars = c("id", "lat", "elev"), variable.factor = FALSE ) setkey(normal_, "variable") @@ -585,7 +586,7 @@ downscale_ <- function(xyzID, normal, gcm, gcm_ts, gcm_hist, normal_ <- dcast( # The merge with shared keys is as simple as that normal_[ref_dt,], - ID + PERIOD + Lat + Elev ~ VAR, + id + PERIOD + lat + elev ~ VAR, value.var = "value", sep = "" ) @@ -890,7 +891,7 @@ addIDCols <- function(IDCols, results) { nms <- names(IDCols)[-1] results2 <- as.data.table(results, geom = "XY") - results2[IDCols, (nms) := mget(nms), on = "ID"] + results2[IDCols, (nms) := mget(nms), on = "id"] #setcolorder(results2, c(nm_order,nms)) if (is(results, "SpatVector")) { results2 <- vect(results2, geom = c("x", "y"), crs = crs(results, proj = TRUE)) diff --git a/R/gcm.R b/R/gcm.R index 65d17f0a..03f8f098 100644 --- a/R/gcm.R +++ b/R/gcm.R @@ -25,7 +25,7 @@ #' #' @example { #' library(terra) -#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10)) +#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10), id = 1:10) #' #' ## get bounding box based on input points #' thebb <- get_bb(xyz) @@ -91,7 +91,7 @@ gcm_input <- function(dbCon, bbox = NULL, gcm = list_gcm(), ssp = list_ssp(), pe #' #' @example { #' library(terra) -#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10)) +#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10), id = 1:10) #' #' ## get bounding box based on input points #' thebb <- get_bb(xyz) @@ -147,7 +147,7 @@ gcm_hist_input <- function(dbCon, bbox = NULL, gcm = list_gcm(), years = 1901:19 #' #' @example { #' library(terra) -#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10)) +#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10), id = 1:10) #' #' ## get bounding box based on input points #' thebb <- get_bb(xyz) diff --git a/tests/testthat/test-cache.R b/tests/testthat/test-cache.R index 67e6beda..74e47746 100644 --- a/tests/testthat/test-cache.R +++ b/tests/testthat/test-cache.R @@ -1,13 +1,11 @@ test_that("test cache in default location", { dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) - xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) thebb <- get_bb(xyz) @@ -93,13 +91,11 @@ test_that("test cache in custom location", { expecteddirs <- suppressWarnings(normalizePath(file.path(cache_path(), c("gcm", "normal", "historic")), winslash = "/")) - xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) cache_clear() ds_res <- climr_downscale(xyz, which_normal = "auto", historic_period = "2001_2020", @@ -119,13 +115,11 @@ test_that("test cache works within same bbox", { dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) - xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) thebb <- get_bb(xyz) cache_clear() diff --git a/tests/testthat/test-calcfuns.R b/tests/testthat/test-calcfuns.R index 1b59ec84..36253535 100644 --- a/tests/testthat/test-calcfuns.R +++ b/tests/testthat/test-calcfuns.R @@ -51,7 +51,10 @@ test_that("calc_* give sensible outputs", { on.exit(try(pool::poolClose(dbCon)), add = TRUE) ## the following includes NAs for the test and should be small enough - xyz <- data.frame(lon = c(-128, -125, -128, -125), lat = c(50, 50, 48, 48), elev = runif(4)) + xyz <- data.frame(lon = c(-128, -125, -128, -125), + lat = c(50, 50, 48, 48), + elev = runif(4), + id = 1:4) thebb <- get_bb(xyz) normalbc <- normal_input(dbCon = dbCon, normal = "normal_bc", bbox = thebb, cache = TRUE) @@ -67,13 +70,14 @@ test_that("calc_* give sensible outputs", { n <- 20 sample_xyz <- data.frame(lon = runif(n, xmin(normalbc$dem2_WNA), xmax(normalbc$dem2_WNA)), lat = runif(n, ymin(normalbc$dem2_WNA), ymax(normalbc$dem2_WNA)), - elev = NA) + elev = NA, + id = 1:n) sample_xyz[, 3] <- terra::extract(normalbc$dem2_WNA, sample_xyz[, 1:2], method = "bilinear")[, -1L] ds_res_bc <- downscale(sample_xyz, normal = normalbc, gcm = gcm, var = list_variables()) sample_xyz$ID <- 1:nrow(sample_xyz) - ds_res_bc <- as.data.table(sample_xyz)[ds_res_bc, on = .(ID)] + ds_res_bc <- as.data.table(sample_xyz)[ds_res_bc, on = .(id)] ds_res_bc[, .(lat, lon, elev, Tmax, PPT01, CMD, Eref)] ## if elevation of inout climate data are NA, downscaled variables should be as well. diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index e8124458..f3babb29 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -5,14 +5,11 @@ dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) ## a small area -xyz <- structure(list(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")), - row.names = c(NA, -8L), class = "data.frame") +xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) ## get bounding box based on input points thebb <- get_bb(xyz) diff --git a/tests/testthat/test-downscale.R b/tests/testthat/test-downscale.R index 004ff7d5..d6de7b48 100644 --- a/tests/testthat/test-downscale.R +++ b/tests/testthat/test-downscale.R @@ -4,14 +4,11 @@ test_that("test downscale", { dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) - xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, - 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) ## get bounding box based on input points thebb <- get_bb(xyz) @@ -36,7 +33,8 @@ test_that("test downscale", { n <- 4000 xyz <- data.frame(lon = runif(n, xmin(dem), xmax(dem)), lat = runif(n, ymin(dem), ymax(dem)), - elev = NA) + elev = NA, + id = 1:n) xyz[, 3] <- extract(dem, xyz[, 1:2], method = "bilinear")[, -1L] expect_false(any(is.na(xyz))) diff --git a/tests/testthat/test-gcm_input.R b/tests/testthat/test-gcm_input.R index 3d09a2d3..40479e2d 100644 --- a/tests/testthat/test-gcm_input.R +++ b/tests/testthat/test-gcm_input.R @@ -2,17 +2,11 @@ test_that("test gcm_input", { dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) - library(terra) - - xyz <- structure(list(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - ## smaller example in BC - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")), - row.names = c(NA, -8L), class = "data.frame") + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) thebb <- get_bb(xyz) @@ -62,15 +56,11 @@ test_that("test gcm_hist_input", { dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) - xyz <- structure(list(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - ## smaller example in BC - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")), - row.names = c(NA, -8L), class = "data.frame") + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) thebb <- get_bb(xyz) @@ -123,15 +113,11 @@ test_that("test gcm_ts_input", { dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) - xyz <- structure(list(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - ## smaller example in BC - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")), - row.names = c(NA, -8L), class = "data.frame") + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) thebb <- get_bb(xyz) diff --git a/tests/testthat/test-get_bb.R b/tests/testthat/test-get_bb.R index df944a71..45f2cb1e 100644 --- a/tests/testthat/test-get_bb.R +++ b/tests/testthat/test-get_bb.R @@ -1,13 +1,10 @@ test_that("test get_bb", { -xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, - 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) - -thebb <- get_bb(xyz) -expect_equal(thebb, c(55.38847, 54.61025, -126.94957, -127.71620)) + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) + + thebb <- get_bb(xyz) + expect_equal(thebb, c(55.38847, 54.61025, -126.94957, -127.71620)) }) diff --git a/tests/testthat/test-historic_input.R b/tests/testthat/test-historic_input.R index 8f06392a..4de06c93 100644 --- a/tests/testthat/test-historic_input.R +++ b/tests/testthat/test-historic_input.R @@ -5,14 +5,11 @@ test_that("test historic_input", { on.exit(try(pool::poolClose(dbCon)), add = TRUE) ## smaller example in BC - xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, - 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) thebb <- get_bb(xyz) @@ -54,14 +51,11 @@ test_that("test historic_input_ts", { on.exit(try(pool::poolClose(dbCon)), add = TRUE) ## smaller example in BC - xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, - 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) thebb <- get_bb(xyz) diff --git a/tests/testthat/test-normal_input.R b/tests/testthat/test-normal_input.R index 99689323..9a7e4862 100644 --- a/tests/testthat/test-normal_input.R +++ b/tests/testthat/test-normal_input.R @@ -5,14 +5,11 @@ test_that("test normal_input", { on.exit(try(pool::poolClose(dbCon)), add = TRUE) ## smaller example in BC - xyz <- data.frame(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, - 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) thebb <- get_bb(xyz) From f69c5572aaca90183eadb1cbd22871a5c84e9c04 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:05:28 -0800 Subject: [PATCH 02/88] use temp internal id column& add it back at the end * extra columns are discarded (!) --- R/downscale.R | 47 ++++++++++++++++++++++++++++------------------- 1 file changed, 28 insertions(+), 19 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index aec52c00..c8938625 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -102,22 +102,29 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor dbCon <- data_connect() thebb <- get_bb(xyz) ## get bounding box based on input points - xyz <- as.data.frame(xyz) ## input needs to be a data.frame, not data.table. This is something we could change in the future - IDCols <- NULL - if (ncol(xyz) > 3) { ## remove extraneous columns - ##check that ids are unique - if(length(unique(xyz[,4])) < nrow(xyz)){ - warning("ID field is not unique. Will reassign ID column. Extra columns will not be returned.") - xyz[,4] <- 1:nrow(xyz) - } - if(ncol(xyz) > 4) { ##save extra variables to join back - IDCols <- xyz[, -c(1:3)] - colnames(IDCols)[1] <- "ID" - setDT(IDCols) + rmCols <- setdiff(names(xyz), expectedCols) + if (length(rmCols)) { ## remove extraneous columns + warnings("Extra columns will be ignored") + xyz <- xyz[, ..expectedCols] + } + + ## make an integer id col to use through out + if (inherits(xyz$id, c("integer", "numeric"))) { + IDint <- as.integer(xyz$id) + } else { + if (inherits(xyz$id, c("character", "factor"))) { + IDint <- as.integer(as.factor(xyz$id)) } - }else{ - xyz[,4] <- 1:nrow(xyz) ##assign ID column } + setnames(xyz, "id", "id_orig") + xyz[, id := IDint] + rm(IDint) + + ## save original ID column to join back + origID <- xyz[, .(id, id_orig)] + + xyz[, id_orig := NULL] + message("Getting normals...") if (which_normal == "NorAm") { @@ -203,12 +210,12 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor if (which_normal != "auto") { if(!is.null(dbCon)) poolClose(dbCon) - results <- addIDCols(IDCols, results) + results <- addIDCols(origID, results) return(results) } if ((length(bc_ids) < 1 || length(bc_ids) == nrow(xyz_save))) { if(!is.null(dbCon)) poolClose(dbCon) - results <- addIDCols(IDCols, results) + results <- addIDCols(origID, results) return(results) } else { na_xyz <- xyz_save[!xyz_save[, 4] %in% bc_ids,] @@ -232,7 +239,7 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor if(!is.null(dbCon)) poolClose(dbCon) res_all <- rbind(results, results_na) - res_all <- addIDCols(IDCols, res_all) + res_all <- addIDCols(origID, res_all) return(res_all) } @@ -886,12 +893,14 @@ process_one_historic <- function(historic_, res, xyzID, timeseries) { #' @importFrom data.table as.data.table #' @importFrom methods is addIDCols <- function(IDCols, results) { - if(!is.null(IDCols)){ + if (!is.null(IDCols)){ nm_order <- names(results) - nms <- names(IDCols)[-1] + nms <- setdiff(names(IDCols), "id") results2 <- as.data.table(results, geom = "XY") results2[IDCols, (nms) := mget(nms), on = "id"] + results2[, id := id_orig] + results2[, id_orig := NULL] #setcolorder(results2, c(nm_order,nms)) if (is(results, "SpatVector")) { results2 <- vect(results2, geom = c("x", "y"), crs = crs(results, proj = TRUE)) From 31b11147a6bd4d82f22323331ec39c33e89dc9fe Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:10:04 -0800 Subject: [PATCH 03/88] new .checkXYZ --- R/downscale.R | 39 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 39 insertions(+) diff --git a/R/downscale.R b/R/downscale.R index c8938625..5bc634ad 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -99,6 +99,11 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor # vars = c("PPT","CMI","PET07") message("Welcome to climr!") + + ## checks + expectedCols <- c("lon", "lat", "elev", "id") + xyz <- .checkXYZ(xyz, expectedCols) + dbCon <- data_connect() thebb <- get_bb(xyz) ## get bounding box based on input points @@ -306,6 +311,9 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, gcm_hist = NULL, historic_ts = NULL, return_normal = FALSE, vars = sort(sprintf(c("PPT%02d", "Tmax%02d", "Tmin%02d"), sort(rep(1:12, 3)))), ppt_lr = FALSE, nthread = 1L, out_spatial = FALSE, plot = NULL) { + ## checks + xyz <- .checkXYZ(xyz) + # Make sure normal was built using normal_input if (!isTRUE(attr(normal, "builder") == "climr")) { stop( @@ -952,3 +960,34 @@ unpackRasters <- function(ras) { } return(ras) } + + + +#' Check xyz conforms to standards +#' +#' @template xyz +#' @param expectedCols character. Columns to look for in `xyz`. +#' +#' @return NULL +.checkXYZ <- function(xyz, expectedCols = c("lon", "lat", "elev", "id")) { + if (!is(xyz, "data.table")) { + xyz <- tryCatch(as.data.table(xyz), error = function(e) e) + if (is(xyz, "error")) { + stop("Can't coherce xyz to an sf object. Please pass an sf object or another cohercible object class.") + } + } + + if (length(setdiff(expectedCols, names(xyz)))) { + stop("'xyz' must have the columns ", paste(expectedCols, collapse = ", ")) + } + + if (length(unique(xyz$id)) != nrow(xyz)) { + stop("'xyz$id' must be a column of unique IDs") + } + colTypes <- c("integer", "numeric", "character", "factor") + if (!inherits(xyz$id, colTypes)) { + stop("'xyz$id' must be an column of type ", paste(colTypes, collapse = ", ")) + } + + return(xyz) +} From 1bc3a9766218d39c284f0d0d5d5b96a45d1b1326 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:11:06 -0800 Subject: [PATCH 04/88] with f69c5572aaca90183eadb1cbd22871a5c84e9c04 --- R/downscale.R | 3 --- 1 file changed, 3 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index 5bc634ad..8c44a169 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -351,9 +351,6 @@ downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, g # destroy cluster on exit on.exit(parallel::stopCluster(cl), add = TRUE) - ## we need to add ID's before paralellising otherwise we'll get repeated IDs - xyz$ID <- 1:nrow(xyz) - # Reordering on y axis for smaller cropped area and faster # sequential reads xyz <- xyz[order(xyz[, 2L]),] From 5c0e05865ecb3fa39bd881c3476104fdd349887d Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:15:01 -0800 Subject: [PATCH 05/88] use col names not indices --- R/downscale.R | 28 +++++++++++++--------------- 1 file changed, 13 insertions(+), 15 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index 8c44a169..76197132 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -141,8 +141,8 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor } else { #message("Normals not specified, using highest resolution available for each point") bc_outline <- rast(system.file("extdata", "bc_outline.tif", package = "climr")) - pnts <- extract(bc_outline, xyz[, 1:2], method = "simple") - bc_ids <- xyz[, 4][!is.na(pnts$PPT01)] + pnts <- extract(bc_outline, xyz[, .(lon, lat)], method = "simple") + bc_ids <- xyz[["id"]][!is.na(pnts$PPT01)] if (length(bc_ids) >= 1) { xyz_save <- xyz xyz <- xyz[!is.na(pnts$PPT01),] @@ -353,7 +353,7 @@ downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, g # Reordering on y axis for smaller cropped area and faster # sequential reads - xyz <- xyz[order(xyz[, 2L]),] + xyz <- xyz[order(lat),] # Split before parallel processing xyz <- lapply( @@ -414,7 +414,7 @@ downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, g if (out_spatial) { res <- as.data.table(xyz)[res, on = "id"] - res <- vect(res, geom = names(xyz)[1:2], crs = crs(normal, proj = TRUE)) + res <- vect(res, geom = c("lon", "lat"), crs = crs(normal, proj = TRUE)) if (!is.null(plot)) { if (!plot %in% vars) { @@ -472,10 +472,10 @@ downscale_ <- function(xyzID, normal, gcm, gcm_ts, gcm_hist, # Define normal extent ex <- ext( c( - min(xyzID[, 1L]) - xres(normal) * 2, - max(xyzID[, 1L]) + xres(normal) * 2, - min(xyzID[, 2L]) - yres(normal) * 2, - max(xyzID[, 2L]) + yres(normal) * 2 + min(xyzID[["lon"]]) - xres(normal) * 2, + max(xyzID[["lon"]]) + xres(normal) * 2, + min(xyzID[["lat"]]) - yres(normal) * 2, + max(xyzID[["lat"]]) + yres(normal) * 2 ) ) @@ -493,14 +493,14 @@ downscale_ <- function(xyzID, normal, gcm, gcm_ts, gcm_hist, res <- extract( x = normal, - y = xyzID[, 1L:2L], + y = xyzID[, .(lon, lat)], method = "bilinear" ) # Compute elevation differences between provided points elevation and normal # Dem at position 74 (ID column + 36 normal layers + 36 lapse rate layers + 1 dem layer) - elev_delta <- xyzID[, 3L] - res[, 74L] + elev_delta <- xyzID[["elev"]] - res[, 74L] # print(elev_delta) # print(res) # Compute individual point lapse rate adjustments @@ -580,11 +580,9 @@ downscale_ <- function(xyzID, normal, gcm, gcm_ts, gcm_hist, set(ref_dt, j = "PERIOD", value = "1961_1990") setkey(ref_dt, "variable") # Set Latitude and possibly ID - normal_[["Lat"]] <- xyzID[, 2L] - normal_[["Elev"]] <- xyzID[, 3L] - if (ncol(xyzID) >= 4L) { - normal_[["ID"]] <- xyzID[, 4L] - } + normal_[["lat"]] <- xyzID[["lat"]] + normal_[["elev"]] <- xyzID[["elev"]] + normal_[["id"]] <- xyzID[["id"]] # Melt gcm_ and set the same key for merging normal_ <- melt( From 7b1c44f32b5c4d9c528484a8fb854e16ea1bd182 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:15:59 -0800 Subject: [PATCH 06/88] xyzID is now identical to xyz --- R/downscale.R | 33 ++++++++++++++++----------------- man-roxygen/xyz.R | 2 ++ 2 files changed, 18 insertions(+), 17 deletions(-) create mode 100644 man-roxygen/xyz.R diff --git a/R/downscale.R b/R/downscale.R index 76197132..8f9baf7b 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -6,7 +6,7 @@ #' @details #' Additional details... TODO. #' -#' @param xyz three or four column `data.frame`: long, lat, elev, (id) +#' @template xyz #' @param which_normal character. Which normal layer to use. #' Default is "auto", which selects the highest resolution normal for each point. #' Other options are one of [`list_normal()`] @@ -256,7 +256,7 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor #' @details #' Additional details... TODO. #' -#' @param xyz A 3-column `matrix` or `data.frame` (x, y, z) or (lon, lat, elev). +#' @template xyz #' @param normal `SpatRaster`. Reference normal baseline input from `normal_input`. #' @param gcm `list` of `SpatRasters`. Global Circulation Models outputs from [`gcm_input()`]. Default to `NULL`. #' @param historic `list` of `SpatRasters`. Historic time period outputs from [`historic_input()`]. Default to `NULL`. @@ -459,23 +459,23 @@ downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, g #' #' @noRd #' @inheritParams downscale -#' @param xyzID same as `xyz`, but with an added "ID" column +#' @template xyz #' #' @return A `data.table`. #' #' @import data.table #' @importFrom terra crop ext xres yres extract -downscale_ <- function(xyzID, normal, gcm, gcm_ts, gcm_hist, +downscale_ <- function(xyz, normal, gcm, gcm_ts, gcm_hist, historic, historic_ts, return_normal, vars, ppt_lr = FALSE) { - # print(xyzID) + # print(xyz) # Define normal extent ex <- ext( c( - min(xyzID[["lon"]]) - xres(normal) * 2, - max(xyzID[["lon"]]) + xres(normal) * 2, - min(xyzID[["lat"]]) - yres(normal) * 2, - max(xyzID[["lat"]]) + yres(normal) * 2 + min(xyz[["lon"]]) - xres(normal) * 2, + max(xyz[["lon"]]) + xres(normal) * 2, + min(xyz[["lat"]]) - yres(normal) * 2, + max(xyz[["lat"]]) + yres(normal) * 2 ) ) @@ -493,14 +493,13 @@ downscale_ <- function(xyzID, normal, gcm, gcm_ts, gcm_hist, res <- extract( x = normal, - y = xyzID[, .(lon, lat)], + y = xyz[, .(lon, lat)], method = "bilinear" ) - # Compute elevation differences between provided points elevation and normal # Dem at position 74 (ID column + 36 normal layers + 36 lapse rate layers + 1 dem layer) - elev_delta <- xyzID[["elev"]] - res[, 74L] + elev_delta <- xyz[["elev"]] - res[, 74L] # print(elev_delta) # print(res) # Compute individual point lapse rate adjustments @@ -579,10 +578,10 @@ downscale_ <- function(xyzID, normal, gcm, gcm_ts, gcm_hist, set(ref_dt, j = "variable", value = nm) set(ref_dt, j = "PERIOD", value = "1961_1990") setkey(ref_dt, "variable") - # Set Latitude and possibly ID - normal_[["lat"]] <- xyzID[["lat"]] - normal_[["elev"]] <- xyzID[["elev"]] - normal_[["id"]] <- xyzID[["id"]] + # Set Latitude elevation and ID + normal_[["lat"]] <- xyz[["lat"]] + normal_[["elev"]] <- xyz[["elev"]] + normal_[["id"]] <- xyz[["id"]] # Melt gcm_ and set the same key for merging normal_ <- melt( @@ -637,7 +636,7 @@ threaded_downscale_ <- function(xyz, normal, gcm, gcm_ts, gcm_hist, historic, hi on.exit(setDTthreads(dt_nt)) # Downscale - res <- downscale_(xyzID = xyz, normal = normal, gcm = gcm, + res <- downscale_(xyz = xyz, normal = normal, gcm = gcm, gcm_ts = gcm_ts, gcm_hist = gcm_hist, historic = historic, historic_ts = historic_ts, ...) return(res) diff --git a/man-roxygen/xyz.R b/man-roxygen/xyz.R new file mode 100644 index 00000000..9c35fa04 --- /dev/null +++ b/man-roxygen/xyz.R @@ -0,0 +1,2 @@ +#' @param xyz a `data.frame` with the following columns "long", "lat", "elev", +#' and a unique "id". Any extra columns will be ignored and not output. From e24eb4508578ccaf6dae5f93482251f30fdfefd9 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:24:45 -0800 Subject: [PATCH 07/88] collapse and adapt process_one_historic/gcm/gcm_hist --- R/downscale.R | 272 ++++++++++++++------------------------------------ 1 file changed, 77 insertions(+), 195 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index 8f9baf7b..b00ee81f 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -524,7 +524,7 @@ downscale_ <- function(xyz, normal, gcm, gcm_ts, gcm_hist, if (!is.null(gcm)) { # Process each gcm and rbind resulting tables res_gcm <- rbindlist( - lapply(gcm, process_one_gcm, res = res, xyzID = xyzID, timeseries = FALSE), + lapply(gcm, process_one_climaterast, res = res, xyz = xyz, type = "gcm"), use.names = TRUE ) } else { @@ -533,7 +533,7 @@ downscale_ <- function(xyz, normal, gcm, gcm_ts, gcm_hist, if (!is.null(gcm_ts)) { # Process each gcm and rbind resulting tables res_gcmts <- rbindlist( - lapply(gcm_ts, process_one_gcm, res = res, xyzID = xyzID, timeseries = TRUE), + lapply(gcm_ts, process_one_climaterast, res = res, xyz = xyz, timeseries = TRUE, type = "gcm"), use.names = TRUE ) } else { @@ -542,16 +542,15 @@ downscale_ <- function(xyz, normal, gcm, gcm_ts, gcm_hist, if (!is.null(gcm_hist)) { # Process each gcm and rbind resulting tables res_gcm_hist <- rbindlist( - lapply(gcm_hist, process_one_gcm_hist, res = res, xyzID = xyzID), - use.names = TRUE - ) + lapply(gcm_hist, process_one_climaterast, res = res, xyz = xyz, type = "gcm_hist"), + use.names = TRUE) } else { res_gcm_hist <- NULL } if (!is.null(historic)) { # print(historic) res_hist <- rbindlist( - lapply(historic, process_one_historic, res = res, xyzID = xyzID, timeseries = FALSE), + lapply(historic, process_one_climaterast, res = res, xyz = xyz, type = "historic"), use.names = TRUE ) } else { @@ -560,7 +559,7 @@ downscale_ <- function(xyz, normal, gcm, gcm_ts, gcm_hist, if (!is.null(historic_ts)) { # print(historic) res_hist_ts <- rbindlist( - lapply(historic_ts, process_one_historic, res = res, xyzID = xyzID, timeseries = TRUE), + lapply(historic_ts, process_one_climaterast, res = res, xyz = xyz, timeseries = TRUE, type = "historic"), use.names = TRUE ) } else { @@ -644,31 +643,37 @@ threaded_downscale_ <- function(xyz, normal, gcm, gcm_ts, gcm_hist, historic, hi #' TODO: fill documentation here #' -#' @param gcm_ TODO -#' @param res TODO -#' @param xyzID TODO -#' @param timeseries TODO +#' @param climaterast +#' @param res +#' @template xyz +#' @param timeseries +#' @param type +#' +#' @return +#' @export #' -#' @return `data.table` -process_one_gcm <- function(gcm_, res, xyzID, timeseries) { - ## gcm_ <- gcm[[1]] +#' @importFrom stats as.formula +process_one_climaterast <- function(climaterast, res, xyz, timeseries = FALSE, + type = c("gcm", "gcm_hist", "historic")) { + type <- match.arg(type) + # Store names for later use - nm <- names(gcm_) + nm <- names(climaterast) # Define gcm extent. res*2 To make sure we capture surrounding # cells for bilinear interpolation. ex <- ext( c( - min(xyzID[, 1L]) - xres(gcm_) * 2, - max(xyzID[, 1L]) + xres(gcm_) * 2, - min(xyzID[, 2L]) - yres(gcm_) * 2, - max(xyzID[, 2L]) + yres(gcm_) * 2 + min(xyz[["lon"]]) - xres(climaterast) * 2, + max(xyz[["lon"]]) + xres(climaterast) * 2, + min(xyz[["lat"]]) - yres(climaterast) * 2, + max(xyz[["lat"]]) + yres(climaterast) * 2 ) ) # Extract gcm bilinear interpolations # Cropping will reduce the size of data to load in memory - gcm_ <- crop(gcm_, ex, snap = "out") - gcm_ <- extract(x = gcm_, y = xyzID[, 1L:2L], method = "bilinear") + climaterast <- crop(climaterast, ex, snap = "out") + climaterast <- extract(x = climaterast, y = xyz[, .(lon, lat)], method = "bilinear") # Create match set to match with res names labels <- vapply( @@ -679,206 +684,83 @@ process_one_gcm <- function(gcm_, res, xyzID, timeseries) { character(1) ) - # Add matching column to gcm_ + if (type == "historic") { + ## Create match set to match with res names + labels <- nm + if (timeseries) { + labels <- gsub("_.*", "", labels) + } + } + + # Add matching column to climaterast + res <- as.data.frame(res) ppt_ <- grep("PPT", labels) - gcm_[, ppt_ + 1L] <- gcm_[, ppt_ + 1L] * res[, match(labels[ppt_], names(res))] ## PPT - gcm_[, -c(1L, ppt_ + 1L)] <- gcm_[, -c(1L, ppt_ + 1L)] + res[, match(labels[-ppt_], names(res))] ## Temperature + ppt_next <- ppt_ + 1L + climaterast[, ppt_next] <- climaterast[, ppt_next] * res[, match(labels[ppt_], names(res))] ## PPT + climaterast[, -c(1L, ppt_next)] <- climaterast[, -c(1L, ppt_next)] + res[, match(labels[-ppt_], names(res))] ## Temperature + res <- as.data.table(res) + climaterast <- as.data.table(climaterast) # Reshape (melt / dcast) to obtain final form ref_dt <- tstrsplit(nm, "_") + # Recombine PERIOD into one field - if (!timeseries) { + if (!timeseries & type == "gcm") { ref_dt[[6]] <- paste(ref_dt[[6]], ref_dt[[7]], sep = "_") ref_dt[7] <- NULL } - # Transform ref_dt to data.table for remerging - setDT(ref_dt) - setnames(ref_dt, c("GCM", "VAR", "MONTH", "SSP", "RUN", "PERIOD")) - set(ref_dt, j = "variable", value = nm) - set(ref_dt, j = "GCM", value = gsub(".", "-", ref_dt[["GCM"]], fixed = TRUE)) - setkey(ref_dt, "variable") - - # Set Latitude and possibly ID - gcm_[["Lat"]] <- xyzID[, 2L] - gcm_[["Elev"]] <- xyzID[, 3L] - if (ncol(xyzID) >= 4L) { - gcm_[["ID"]] <- xyzID[, 4L] - } - - # Melt gcm_ and set the same key for merging - gcm_ <- melt( - setDT(gcm_), - id.vars = c("ID", "Lat", "Elev"), - variable.factor = FALSE - ) - setkey(gcm_, "variable") - - # Finally, dcast back to final form to get original 36 columns - gcm_ <- dcast( - # The merge with shared keys is as simple as that - gcm_[ref_dt,], - ID + GCM + SSP + RUN + PERIOD + Lat + Elev ~ VAR + MONTH, - value.var = "value", - sep = "" - ) - - return(gcm_) -} - - -#' TODO: fill documentation here -#' -#' @param gcm_ TODO -#' @param res TODO -#' @param xyzID TODO -#' -#' @return `data.table` -process_one_gcm_hist <- function(gcm_, res, xyzID) { - ## gcm_ <- gcm[[1]] - # Store names for later use - nm <- names(gcm_) - - # Define gcm extent. res*2 To make sure we capture surrounding - # cells for bilinear interpolation. - ex <- ext( - c( - min(xyzID[, 1L]) - xres(gcm_) * 2, - max(xyzID[, 1L]) + xres(gcm_) * 2, - min(xyzID[, 2L]) - yres(gcm_) * 2, - max(xyzID[, 2L]) + yres(gcm_) * 2 - ) - ) - # Extract gcm bilinear interpolations - # Cropping will reduce the size of data to load in memory - gcm_ <- crop(gcm_, ex, snap = "out") - gcm_ <- extract(x = gcm_, y = xyzID[, 1L:2L], method = "bilinear") - - # Create match set to match with res names - labels <- vapply( - strsplit(nm, "_"), - function(x) { - paste0(x[2:3], collapse = "") - }, - character(1) - ) - # Add matching column to gcm_ - ppt_ <- grep("PPT", labels) - gcm_[, ppt_ + 1L] <- gcm_[, ppt_ + 1L] * res[, match(labels[ppt_], names(res))] ## PPT - gcm_[, -c(1L, ppt_ + 1L)] <- gcm_[, -c(1L, ppt_ + 1L)] + res[, match(labels[-ppt_], names(res))] ## Temperature - - # Reshape (melt / dcast) to obtain final form - ref_dt <- tstrsplit(nm, "_") - - # Transform ref_dt to data.table for remerging setDT(ref_dt) - setnames(ref_dt, c("GCM", "VAR", "MONTH", "RUN", "PERIOD")) - set(ref_dt, j = "variable", value = nm) - set(ref_dt, j = "GCM", value = gsub(".", "-", ref_dt[["GCM"]], fixed = TRUE)) - setkey(ref_dt, "variable") - - # Set Latitude and possibly ID - gcm_[["Lat"]] <- xyzID[, 2L] - gcm_[["Elev"]] <- xyzID[, 3L] - if (ncol(xyzID) >= 4L) { - gcm_[["ID"]] <- xyzID[, 4L] - } - - # Melt gcm_ and set the same key for merging - gcm_ <- melt( - setDT(gcm_), - id.vars = c("ID", "Lat", "Elev"), - variable.factor = FALSE - ) - setkey(gcm_, "variable") - - gcm_ <- dcast( - gcm_[ref_dt,], - ID + GCM + RUN + PERIOD + Lat + Elev ~ VAR + MONTH, - value.var = "value", - sep = "" - ) - - return(gcm_) -} - -#' TODO: fill documentation here -#' -#' @param historic_ TODO -#' @param res TODO -#' @param xyzID TODO -#' @param timeseries TODO -#' -#' @return `data.table` -process_one_historic <- function(historic_, res, xyzID, timeseries) { - # print(historic_) - # Store names for later use - nm <- names(historic_) - - # Define gcm extent. res*2 To make sure we capture surrounding - # cells for bilinear interpolation. - ex <- ext( - c( - min(xyzID[, 1L]) - xres(historic_) * 2, - max(xyzID[, 1L]) + xres(historic_) * 2, - min(xyzID[, 2L]) - yres(historic_) * 2, - max(xyzID[, 2L]) + yres(historic_) * 2 - ) - ) - # Extract gcm bilinear interpolations - # Cropping will reduce the size of data to load in memory - historic_ <- crop(historic_, ex, snap = "out") - historic_ <- extract(x = historic_, y = xyzID[, 1L:2L], method = "bilinear") - - # Create match set to match with res names - labels <- nm - if (timeseries) { - labels <- gsub("_.*", "", labels) + if (type == "historic") { + if (timeseries) { + setnames(ref_dt, c("VAR", "PERIOD")) + set(ref_dt, j = "variable", value = nm) + } else { + setnames(ref_dt, c("VAR")) + set(ref_dt, j = "variable", value = nm) + set(ref_dt, j = "PERIOD", value = "2001_2020") + } } - ppt_ <- grep("PPT", labels) - historic_[, ppt_ + 1L] <- historic_[, ppt_ + 1L] * res[, match(labels[ppt_], names(res))] ## PPT - historic_[, -c(1L, ppt_ + 1L)] <- historic_[, -c(1L, ppt_ + 1L)] + res[, match(labels[-ppt_], names(res))] ## Temperature - - - # Reshape (melt / dcast) to obtain final form - ref_dt <- tstrsplit(nm, "_") - setDT(ref_dt) - if (timeseries) { - setnames(ref_dt, c("VAR", "PERIOD")) - set(ref_dt, j = "variable", value = nm) - } else { - setnames(ref_dt, c("VAR")) + # Transform ref_dt to data.table for remerging + if (type %in% c("gcm", "gcm_hist")) { + switch(type, + gcm = setnames(ref_dt, c("GCM", "VAR", "MONTH", "SSP", "RUN", "PERIOD")), + gcm_hist = setnames(ref_dt, c("GCM", "VAR", "MONTH", "RUN", "PERIOD"))) set(ref_dt, j = "variable", value = nm) - set(ref_dt, j = "PERIOD", value = "2001_2020") + set(ref_dt, j = "GCM", value = gsub(".", "-", ref_dt[["GCM"]], fixed = TRUE)) } setkey(ref_dt, "variable") - # Set Latitude and possibly ID - historic_[["Lat"]] <- xyzID[, 2L] - historic_[["Elev"]] <- xyzID[, 3L] - if (ncol(xyzID) >= 4L) { - historic_[["ID"]] <- xyzID[, 4L] - } - # Melt gcm_ and set the same key for merging - historic_ <- melt( - setDT(historic_), - id.vars = c("ID", "Lat", "Elev"), + # Set Latitude and possibly ID + climaterast[["lat"]] <- xyz[["lat"]] + climaterast[["elev"]] <- xyz[["elev"]] + climaterast[["id"]] <- xyz[["id"]] + + # Melt climaterast and set the same key for merging + climaterast <- melt( + setDT(climaterast), + id.vars = c("id", "lat", "elev"), variable.factor = FALSE ) - setkey(historic_, "variable") + setkey(climaterast, "variable") # Finally, dcast back to final form to get original 36 columns - historic_ <- dcast( + form <- switch(type, + gcm = quote(id + GCM + SSP + RUN + PERIOD + lat + elev ~ VAR + MONTH), + gcm_hist = quote(id + GCM + RUN + PERIOD + lat + elev ~ VAR + MONTH), + historic = quote(id + PERIOD + lat + elev ~ VAR)) + + climaterast <- dcast( # The merge with shared keys is as simple as that - historic_[ref_dt,], - ID + PERIOD + Lat + Elev ~ VAR, + climaterast[ref_dt,], + as.formula(form), value.var = "value", sep = "" ) - return(historic_) + return(climaterast) } From 7b971d8f66682c6405122f383e8dd5c1deec020b Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:26:19 -0800 Subject: [PATCH 08/88] minor --- R/downscale.R | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index b00ee81f..51e2185a 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -764,10 +764,11 @@ process_one_climaterast <- function(climaterast, res, xyz, timeseries = FALSE, } - - -#' Add ID columns to `downscale` output. +#' Add ID columns back to `downscale` output. #' +#' @details adds back the original ID column and removes temporary +#' one +#' #' @param IDCols character. ID columns to add, or NULL if none #' @param results `data.table` or `SpatVector` output from `downscale` #' From 7a9c04ecbcb296bfde3aa3ddf64c3ce2487d9a63 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:26:39 -0800 Subject: [PATCH 09/88] missing id col in example --- R/downscale.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/downscale.R b/R/downscale.R index 51e2185a..749aa1ad 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -290,7 +290,7 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor #' \dontrun{ #' dbCon <- data_connect() #' on.exit(try(pool::poolClose(dbCon))) -#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10)) +#' xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10), id = 1:10) #' #' ## get bounding box based on input points #' thebb <- get_bb(xyz) From d690cb62b3f1843cd42faed66aaef1c6c43be8fe Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:26:57 -0800 Subject: [PATCH 10/88] streamline example --- R/downscale.R | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index 749aa1ad..4c9a9a3d 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -57,16 +57,17 @@ #' Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) #' #' ## historic observational time series +#' vars <- c("PPT","CMD","Tave07") #' climate_norms_hist <- climr_downscale(xyz = in_xyz, which_normal = "auto", #' return_normal = TRUE, #' historic_period = "2001_2020", -#' vars = c("PPT","CMD","Tave07"), +#' vars = vars, #' out_spatial = TRUE, plot = "PPT") ##specify desired variables to plot #' #' ## as a data.table #' climate_norms_hist <- climr_downscale(xyz = in_xyz, which_normal = "auto", #' return_normal = TRUE, -#' vars = cc("PPT","CMD","Tave07"), +#' vars = vars, #' out_spatial = FALSE, plot = "PPT") ##specify desired variables to plot #' #' ## future projections @@ -76,7 +77,7 @@ #' gcm_period = c("2021_2040"), #' #gcm_ts_years = 2020:2060, #' max_run = 3, #' we want 3 individual runs for each model -#' vars = c("PPT","CMD","Tave07")) +#' vars = vars) #' } #' @rdname downscaling #' @export From 62266cf182e9d3ee7b16348833d1fcd11528d151 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:27:09 -0800 Subject: [PATCH 11/88] rm testing code --- R/downscale.R | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index 4c9a9a3d..46da0223 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -86,19 +86,6 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor gcm_period = NULL, gcm_ts_years = NULL, gcm_hist_years = NULL, max_run = 0L, return_normal = TRUE, vars = sort(sprintf(c("PPT%02d", "Tmax%02d", "Tmin%02d"), sort(rep(1:12, 3)))), cache = TRUE, out_spatial = FALSE, plot = NULL) { - # xyz <- coords - # which_normal = "auto" - # historic_period = NULL - # historic_ts = NULL - # gcm_models = NULL - # ssp = NULL - # gcm_period = NULL - # gcm_ts_years = NULL - # max_run = 0L - # return_normal = TRUE - # cache = TRUE - # vars = c("PPT","CMI","PET07") - message("Welcome to climr!") ## checks From d9cfabadf797a09e280713e9b3120be25519b390 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:28:56 -0800 Subject: [PATCH 12/88] coerce to data.frame at specific points only --- R/downscale.R | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/R/downscale.R b/R/downscale.R index 46da0223..f396ddf8 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -118,6 +118,8 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor xyz[, id_orig := NULL] + ## input needs to be a data.frame, not data.table. This is something we could change in the future + # xyz <- as.data.frame(xyz) message("Getting normals...") if (which_normal == "NorAm") { @@ -501,12 +503,14 @@ downscale_ <- function(xyz, normal, gcm, gcm_ts, gcm_hist, res[, 38L:74L] <- NULL # Combine results (ignoring ID column) + res <- as.data.frame(res) ## TODO: convert code below to data.table if (isTRUE(ppt_lr)) { res[, -1L] <- res[, -1L] + lr } else { ppt <- grep("^PPT", names(normal)[1L:36L], invert = TRUE) res[, ppt + 1L] <- res[, ppt + 1L] + lr[, ppt] } + res <- as.data.table(res) # Process one GCM stacked layers if (!is.null(gcm)) { From 4fe99949ff11e60c8e667fcf9e67902b22234ba1 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:29:04 -0800 Subject: [PATCH 13/88] add globalVars --- R/globalVars.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/globalVars.R b/R/globalVars.R index bdb15abf..f49e1f5f 100644 --- a/R/globalVars.R +++ b/R/globalVars.R @@ -1,5 +1,6 @@ utils::globalVariables(c( - "..cols", "fullnm", "laynum", "mod", "numlay", "period", + "..cols", "..expectedCols", "fullnm", "id", "id_orig", "lat", "lon", + "laynum", "mod", "numlay", "period", "Period", "Period1", "Period2", "run", "Run", "scenario", "Scenario", "skip_if_not_installed", "var", "Year" )) From a9272685e05baf1675dfe9a278eb7d30aa0323e9 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:29:18 -0800 Subject: [PATCH 14/88] fix readme column names --- README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 7c537078..f545f50a 100644 --- a/README.md +++ b/README.md @@ -79,10 +79,12 @@ remotes::install_github("bcgov/climr@devl") ``` r ##provide or create a long, lat, elev dataframe -in_xyz <- structure(list(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, +in_xyz <- structure(list(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L)), row.names = c(NA, -8L), class = "data.frame") + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L)), + id = 1:8, + row.names = c(NA, -8L), class = "data.frame") ##if you just want to downscale points and not think about what happening behind the scenes, use this function From 855355632177172ca493eac0cab56f6277e491c8 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:29:42 -0800 Subject: [PATCH 15/88] suppress warning in test --- tests/testthat/test-cache.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/testthat/test-cache.R b/tests/testthat/test-cache.R index 74e47746..032fa870 100644 --- a/tests/testthat/test-cache.R +++ b/tests/testthat/test-cache.R @@ -11,7 +11,8 @@ test_that("test cache in default location", { expect_identical(cache_path(), R_user_dir("climr", "cache")) - expecteddirs <- normalizePath(file.path(cache_path(), c("gcm", "normal", "historic")), winslash = "/") + expecteddirs <- normalizePath(file.path(cache_path(), c("gcm", "normal", "historic")), + winslash = "/", mustWork = FALSE) cache_clear() normal <- normal_input(dbCon = dbCon, bbox = thebb, cache = FALSE) From 570e0c6fdbe7861f14f65c8187b69db04ea08b30 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:29:56 -0800 Subject: [PATCH 16/88] add id checks to test --- tests/testthat/test-climr_downscale.R | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index f3babb29..989f1df8 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -19,6 +19,9 @@ ds_hist <- climr_downscale(xyz = xyz, which_normal = "auto", return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period vars = c("PPT","CMD","CMI","Tave01","Tave07")) ##specify desired variablesds_hist <- climr_downscale(xyz = xyz, which_normal = "auto", +test <- length(setdiff(ds_hist$id, xyz$id)) + length(setdiff( xyz$id, ds_hist$id)) +expect_true(test == 0) + expect_true(all(ds_hist[, .N, by = ID][, N] == 2)) ## should have 2 periods (historic and normal) per ID test <- as.data.table(xyz)[ds_hist, on = .(ID, Zone, Subzone), nomatch = NA] From e9c5edd0dde675dab81f92e1d7bb6d385217002a Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:30:26 -0800 Subject: [PATCH 17/88] add more `downscale` tests --- tests/testthat/test-downscale.R | 106 ++++++++++++++++++++++++++++++++ 1 file changed, 106 insertions(+) diff --git a/tests/testthat/test-downscale.R b/tests/testthat/test-downscale.R index d6de7b48..3c2d891d 100644 --- a/tests/testthat/test-downscale.R +++ b/tests/testthat/test-downscale.R @@ -88,3 +88,109 @@ test_that("test downscale", { testthat::expect_true(all.equal(results2, results3)) }) + +## here, tet with gcm_hist, gcm_ts and historic +test_that("test downscale gcm_hist", { + testInit("terra") + + dbCon <- data_connect() + on.exit(try(pool::poolClose(dbCon)), add = TRUE) + + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) + + ## get bounding box based on input points + thebb <- get_bb(xyz) + + # Create a normal baseline + normal <- normal_input(dbCon = dbCon, bbox = thebb, cache = TRUE) + + # Select GCM + gcms <- c("BCC-CSM2-MR", "INM-CM5-0") + gcm_hist <- gcm_hist_input( + dbCon, + thebb, + gcm = gcms, + ) + + gcm_ts <- gcm_ts_input( + dbCon, + thebb, + gcm = gcms + ) + + historic <- historic_input( + dbCon, + thebb + ) + + historic_ts <- historic_input_ts( + dbCon, + thebb + ) + + # Resample 4000 points from the available data + dem <- normal$dem2_WNA + set.seed(678) + n <- 4000 + xyz <- data.frame(lon = runif(n, xmin(dem), xmax(dem)), + lat = runif(n, ymin(dem), ymax(dem)), + elev = NA, + id = 1:n) + xyz[, 3] <- extract(dem, xyz[, 1:2], method = "bilinear")[, -1L] + expect_false(any(is.na(xyz))) + + results <- downscale( + xyz = xyz, + normal = normal, + gcm_hist = gcm_hist, + var = list_variables() + ) + + results2 <- downscale( + xyz = xyz, + normal = normal, + gcm_ts = gcm_ts, + var = list_variables() + ) + + results3 <- downscale( + xyz = xyz, + normal = normal, + historic = historic, + var = list_variables() + ) + + results4 <- downscale( + xyz = xyz, + normal = normal, + historic_ts = historic_ts, + var = list_variables() + ) + + + ## there may be NAs if the points call on areas without data (e.g. ocean and using normal_bc, but points are being BC) + ## even with NAs some variables may get a 0 (e.g. DD) + ## sanity checks: use points in BC that we know are not NA/0 + ## the values should be in similar ranges to climateBC's outputs (use Tonlig Wang's downscaling method in app) + + # Test for variables + testthat::expect_true(all(list_variables() %in% names(results))) + testthat::expect_true(all(list_variables() %in% names(results2))) + testthat::expect_true(all(list_variables() %in% names(results3))) + testthat::expect_true(all(list_variables() %in% names(results4))) + + testthat::expect_true(all(gcms %in% results$GCM)) + testthat::expect_true(all(gcms %in% results2$GCM)) + testthat::expect_true(all(names(historic) %in% unique(results3$PERIOD))) + testthat::expect_true(all(names(historic_ts) %in% unique(results4$PERIOD))) + + # Test for order + testthat::expect_equal(tail(names(results), length(list_variables())), list_variables()) + testthat::expect_equal(tail(names(results2), length(list_variables())), list_variables()) + testthat::expect_equal(tail(names(results3), length(list_variables())), list_variables()) + testthat::expect_equal(tail(names(results4), length(list_variables())), list_variables()) +}) From a6059d86a4992cb878df40487fa914eb01a9beaa Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:30:37 -0800 Subject: [PATCH 18/88] use testInit to load terra --- tests/testthat/test-gcm_input.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/testthat/test-gcm_input.R b/tests/testthat/test-gcm_input.R index 40479e2d..9ba57327 100644 --- a/tests/testthat/test-gcm_input.R +++ b/tests/testthat/test-gcm_input.R @@ -1,4 +1,6 @@ test_that("test gcm_input", { + testInit("terra") + dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) From 60ab83c12869d17893c528035a4af46b2ce223b4 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 15:46:57 -0800 Subject: [PATCH 19/88] re-doc --- NAMESPACE | 2 ++ man/addIDCols.Rd | 8 ++++-- man/data-option-lists.Rd | 2 +- man/dot-checkXYZ.Rd | 17 ++++++++++++ man/downscaling.Rd | 49 +++++++++++++++++++++++++++++++--- man/process_one_climaterast.Rd | 29 ++++++++++++++++++++ man/process_one_gcm.Rd | 23 ---------------- man/process_one_gcm_hist.Rd | 21 --------------- man/process_one_historic.Rd | 23 ---------------- man/threaded_downscale_.Rd | 3 ++- 10 files changed, 103 insertions(+), 74 deletions(-) create mode 100644 man/dot-checkXYZ.Rd create mode 100644 man/process_one_climaterast.Rd delete mode 100644 man/process_one_gcm.Rd delete mode 100644 man/process_one_gcm_hist.Rd delete mode 100644 man/process_one_historic.Rd diff --git a/NAMESPACE b/NAMESPACE index ccda967c..0a0ed338 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -21,6 +21,7 @@ export(list_ssp) export(list_variables) export(normal_input) export(pgGetTerra) +export(process_one_climaterast) import(data.table) import(uuid) importFrom(DBI,dbGetQuery) @@ -49,6 +50,7 @@ importFrom(pool,dbPool) importFrom(pool,poolClose) importFrom(sf,st_as_sf) importFrom(sf,st_join) +importFrom(stats,as.formula) importFrom(stats,complete.cases) importFrom(terra,"crs<-") importFrom(terra,as.list) diff --git a/man/addIDCols.Rd b/man/addIDCols.Rd index ab7916a7..9fa3d825 100644 --- a/man/addIDCols.Rd +++ b/man/addIDCols.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/downscale.R \name{addIDCols} \alias{addIDCols} -\title{Add ID columns to \code{downscale} output.} +\title{Add ID columns back to \code{downscale} output.} \usage{ addIDCols(IDCols, results) } @@ -15,5 +15,9 @@ addIDCols(IDCols, results) \code{results} with IDCols } \description{ -Add ID columns to \code{downscale} output. +Add ID columns back to \code{downscale} output. +} +\details{ +adds back the original ID column and removes temporary +one } diff --git a/man/data-option-lists.Rd b/man/data-option-lists.Rd index be1bf582..cec381a7 100644 --- a/man/data-option-lists.Rd +++ b/man/data-option-lists.Rd @@ -54,7 +54,7 @@ Currently available normals (\code{list_normal()}) are: \itemize{ \item "normal_na" for Climate NA derived normals \item "normal_bc" for British Columbia PRISM climatologies derived normals -\item "normal_composite" for a composite of BC PRISM, adjusted US PRISM and +\item "composite_normal" for a composite of BC PRISM, adjusted US PRISM and DAYMET (Alberta and Saskatchewan), covering western Canada and western US. } diff --git a/man/dot-checkXYZ.Rd b/man/dot-checkXYZ.Rd new file mode 100644 index 00000000..8481cf97 --- /dev/null +++ b/man/dot-checkXYZ.Rd @@ -0,0 +1,17 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/downscale.R +\name{.checkXYZ} +\alias{.checkXYZ} +\title{Check xyz conforms to standards} +\usage{ +.checkXYZ(xyz, expectedCols = c("lon", "lat", "elev", "id")) +} +\arguments{ +\item{xyz}{a \code{data.frame} with the following columns "long", "lat", "elev", +and a unique "id". Any extra columns will be ignored and not output.} + +\item{expectedCols}{character. Columns to look for in \code{xyz}.} +} +\description{ +Check xyz conforms to standards +} diff --git a/man/downscaling.Rd b/man/downscaling.Rd index 2ad5fa85..9aaad3b5 100644 --- a/man/downscaling.Rd +++ b/man/downscaling.Rd @@ -40,7 +40,8 @@ downscale( ) } \arguments{ -\item{xyz}{A 3-column \code{matrix} or \code{data.frame} (x, y, z) or (lon, lat, elev).} +\item{xyz}{a \code{data.frame} with the following columns "long", "lat", "elev", +and a unique "id". Any extra columns will be ignored and not output.} \item{which_normal}{character. Which normal layer to use. Default is "auto", which selects the highest resolution normal for each point. @@ -116,12 +117,54 @@ Additional details... TODO. } \examples{ { - ## TODO. +library(data.table) +library(terra) +set.seed(123) +dbCon <- data_connect() +xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10), + id = 1:10) + +## get bounding box based on input points +thebb <- get_bb(xyz) +historic <- historic_input(dbCon, thebb, period = "2001_2020") +plot(historic[[1]][[2]]) + +## provide or create a lon, lat, elev, and optionally id, dataframe - usually read from csv file +in_xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = 1:8, + Zone = c(rep("CWH",3), rep("CDF",5)), + Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) + +## historic observational time series +vars <- c("PPT","CMD","Tave07") +climate_norms_hist <- climr_downscale(xyz = in_xyz, which_normal = "auto", + return_normal = TRUE, + historic_period = "2001_2020", + vars = vars, + out_spatial = TRUE, plot = "PPT") ##specify desired variables to plot + +## as a data.table +climate_norms_hist <- climr_downscale(xyz = in_xyz, which_normal = "auto", + return_normal = TRUE, + vars = vars, + out_spatial = FALSE, plot = "PPT") ##specify desired variables to plot + +## future projections +climate_norms_fut <- climr_downscale(xyz = in_xyz, which_normal = "auto", + gcm_models = c("ACCESS-ESM1-5"), + ssp = c("ssp370"), + gcm_period = c("2021_2040"), + #gcm_ts_years = 2020:2060, + max_run = 3, #' we want 3 individual runs for each model + vars = vars) } \dontrun{ dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon))) -xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10)) +xyz <- data.frame(lon = runif(10, -140, -106), lat = runif(10, 37, 61), elev = runif(10), id = 1:10) ## get bounding box based on input points thebb <- get_bb(xyz) diff --git a/man/process_one_climaterast.Rd b/man/process_one_climaterast.Rd new file mode 100644 index 00000000..94e8e701 --- /dev/null +++ b/man/process_one_climaterast.Rd @@ -0,0 +1,29 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/downscale.R +\name{process_one_climaterast} +\alias{process_one_climaterast} +\title{TODO: fill documentation here} +\usage{ +process_one_climaterast( + climaterast, + res, + xyz, + timeseries = FALSE, + type = c("gcm", "gcm_hist", "historic") +) +} +\arguments{ +\item{climaterast}{} + +\item{res}{} + +\item{xyz}{a \code{data.frame} with the following columns "long", "lat", "elev", +and a unique "id". Any extra columns will be ignored and not output.} + +\item{timeseries}{} + +\item{type}{} +} +\description{ +TODO: fill documentation here +} diff --git a/man/process_one_gcm.Rd b/man/process_one_gcm.Rd deleted file mode 100644 index df53581f..00000000 --- a/man/process_one_gcm.Rd +++ /dev/null @@ -1,23 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/downscale.R -\name{process_one_gcm} -\alias{process_one_gcm} -\title{TODO: fill documentation here} -\usage{ -process_one_gcm(gcm_, res, xyzID, timeseries) -} -\arguments{ -\item{gcm_}{TODO} - -\item{res}{TODO} - -\item{xyzID}{TODO} - -\item{timeseries}{TODO} -} -\value{ -\code{data.table} -} -\description{ -TODO: fill documentation here -} diff --git a/man/process_one_gcm_hist.Rd b/man/process_one_gcm_hist.Rd deleted file mode 100644 index 445f5bfe..00000000 --- a/man/process_one_gcm_hist.Rd +++ /dev/null @@ -1,21 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/downscale.R -\name{process_one_gcm_hist} -\alias{process_one_gcm_hist} -\title{TODO: fill documentation here} -\usage{ -process_one_gcm_hist(gcm_, res, xyzID) -} -\arguments{ -\item{gcm_}{TODO} - -\item{res}{TODO} - -\item{xyzID}{TODO} -} -\value{ -\code{data.table} -} -\description{ -TODO: fill documentation here -} diff --git a/man/process_one_historic.Rd b/man/process_one_historic.Rd deleted file mode 100644 index df8a566a..00000000 --- a/man/process_one_historic.Rd +++ /dev/null @@ -1,23 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/downscale.R -\name{process_one_historic} -\alias{process_one_historic} -\title{TODO: fill documentation here} -\usage{ -process_one_historic(historic_, res, xyzID, timeseries) -} -\arguments{ -\item{historic_}{TODO} - -\item{res}{TODO} - -\item{xyzID}{TODO} - -\item{timeseries}{TODO} -} -\value{ -\code{data.table} -} -\description{ -TODO: fill documentation here -} diff --git a/man/threaded_downscale_.Rd b/man/threaded_downscale_.Rd index caf224c0..6724c432 100644 --- a/man/threaded_downscale_.Rd +++ b/man/threaded_downscale_.Rd @@ -16,7 +16,8 @@ threaded_downscale_( ) } \arguments{ -\item{xyz}{A 3-column \code{matrix} or \code{data.frame} (x, y, z) or (lon, lat, elev).} +\item{xyz}{a \code{data.frame} with the following columns "long", "lat", "elev", +and a unique "id". Any extra columns will be ignored and not output.} \item{normal}{\code{SpatRaster}. Reference normal baseline input from \code{normal_input}.} From 99a0ba520c1b3fcd8cb1f6cc75be9f0d6407bd5e Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 16:08:52 -0800 Subject: [PATCH 20/88] fix test --- tests/testthat/test-downscale.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/testthat/test-downscale.R b/tests/testthat/test-downscale.R index 3c2d891d..56d92d44 100644 --- a/tests/testthat/test-downscale.R +++ b/tests/testthat/test-downscale.R @@ -90,7 +90,7 @@ test_that("test downscale", { }) ## here, tet with gcm_hist, gcm_ts and historic -test_that("test downscale gcm_hist", { +test_that("test downscale with gcm_hist, gcm_ts, historic and historic_ts", { testInit("terra") dbCon <- data_connect() @@ -186,7 +186,7 @@ test_that("test downscale gcm_hist", { testthat::expect_true(all(gcms %in% results$GCM)) testthat::expect_true(all(gcms %in% results2$GCM)) testthat::expect_true(all(names(historic) %in% unique(results3$PERIOD))) - testthat::expect_true(all(names(historic_ts) %in% unique(results4$PERIOD))) + testthat::expect_true(all(eval(parse(text = names(historic_ts))) %in% unique(results4$PERIOD))) # Test for order testthat::expect_equal(tail(names(results), length(list_variables())), list_variables()) From 4deb7a44b2462e035fdf2da39545790a121eeaa6 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Fri, 12 Jan 2024 16:09:01 -0800 Subject: [PATCH 21/88] fix message --- R/downscale.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/downscale.R b/R/downscale.R index f396ddf8..a76c9204 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -842,7 +842,7 @@ unpackRasters <- function(ras) { if (!is(xyz, "data.table")) { xyz <- tryCatch(as.data.table(xyz), error = function(e) e) if (is(xyz, "error")) { - stop("Can't coherce xyz to an sf object. Please pass an sf object or another cohercible object class.") + stop("Can't coherce xyz to a data.table object. Please pass a data.table object or another cohercible object class.") } } From 61d25423fd8bc2a8ba3c407d54e36dda4593959c Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 09:45:56 -0800 Subject: [PATCH 22/88] add missing obj for downscale test --- tests/testthat/test-downscale.R | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/tests/testthat/test-downscale.R b/tests/testthat/test-downscale.R index 56d92d44..5f3f9cd5 100644 --- a/tests/testthat/test-downscale.R +++ b/tests/testthat/test-downscale.R @@ -110,6 +110,13 @@ test_that("test downscale with gcm_hist, gcm_ts, historic and historic_ts", { # Select GCM gcms <- c("BCC-CSM2-MR", "INM-CM5-0") + + gcm <- gcm_input( + dbCon, + thebb, + gcm = gcms, + ) + gcm_hist <- gcm_hist_input( dbCon, thebb, From a9aba7b0de3ca8f776c9f570f44528cc10dd1cd3 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 09:46:08 -0800 Subject: [PATCH 23/88] minor --- tests/testthat/test-downscale.R | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/tests/testthat/test-downscale.R b/tests/testthat/test-downscale.R index 5f3f9cd5..ed9f4ce5 100644 --- a/tests/testthat/test-downscale.R +++ b/tests/testthat/test-downscale.R @@ -5,7 +5,7 @@ test_that("test downscale", { on.exit(try(pool::poolClose(dbCon)), add = TRUE) xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), + -127.18585, -127.1254, -126.94957, -126.95507), lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), id = LETTERS[1:8]) @@ -89,8 +89,7 @@ test_that("test downscale", { testthat::expect_true(all.equal(results2, results3)) }) -## here, tet with gcm_hist, gcm_ts and historic -test_that("test downscale with gcm_hist, gcm_ts, historic and historic_ts", { +test_that("test downscale outputs with gcm, gcm_hist, gcm_ts, historic and historic_ts", { testInit("terra") dbCon <- data_connect() From a76f63a831f2c811b876326cdd21b464560679c9 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 09:47:32 -0800 Subject: [PATCH 24/88] use minimal area for test and saved outs for comparisons --- tests/testthat/test-downscale.R | 70 +++++++++++++-------------------- 1 file changed, 27 insertions(+), 43 deletions(-) diff --git a/tests/testthat/test-downscale.R b/tests/testthat/test-downscale.R index ed9f4ce5..d355d6b1 100644 --- a/tests/testthat/test-downscale.R +++ b/tests/testthat/test-downscale.R @@ -95,11 +95,10 @@ test_that("test downscale outputs with gcm, gcm_hist, gcm_ts, historic and histo dbCon <- data_connect() on.exit(try(pool::poolClose(dbCon)), add = TRUE) - xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - id = LETTERS[1:8]) + xyz <- data.frame(lon = c(-127.70), + lat = c(55.35), + elev = c(291L), + id = LETTERS[1]) ## get bounding box based on input points thebb <- get_bb(xyz) @@ -138,44 +137,29 @@ test_that("test downscale outputs with gcm, gcm_hist, gcm_ts, historic and histo thebb ) - # Resample 4000 points from the available data - dem <- normal$dem2_WNA - set.seed(678) - n <- 4000 - xyz <- data.frame(lon = runif(n, xmin(dem), xmax(dem)), - lat = runif(n, ymin(dem), ymax(dem)), - elev = NA, - id = 1:n) - xyz[, 3] <- extract(dem, xyz[, 1:2], method = "bilinear")[, -1L] - expect_false(any(is.na(xyz))) - - results <- downscale( - xyz = xyz, - normal = normal, - gcm_hist = gcm_hist, - var = list_variables() - ) - - results2 <- downscale( - xyz = xyz, - normal = normal, - gcm_ts = gcm_ts, - var = list_variables() - ) - - results3 <- downscale( - xyz = xyz, - normal = normal, - historic = historic, - var = list_variables() - ) - - results4 <- downscale( - xyz = xyz, - normal = normal, - historic_ts = historic_ts, - var = list_variables() - ) + ## read in the reference points and outputs + ref_xyz <- readRDS("tests/points_downscale_ref.rds") + list_refs <- list.files("tests", "downscaleout", full.names = TRUE) + + refs <- lapply(list_refs, readRDS) + names(refs) <- sub(".rds", "", basename(list_refs)) + + list_args <- list(gcm = gcm, gcm_hist = gcm_hist, gcm_ts = gcm_ts, + historic = historic, historic_ts = historic_ts) + dwnscaleOut <- Map(argname = names(list_args), + argvalue = list_args, + f = function(argname, argvalue, normal) { + allArgs <- list(xyz = ref_xyz, + normal = normal, + var = list_variables(), + new = argvalue) + names(allArgs) <- sub("new", argname, names(allArgs)) + + out <- do.call(downscale, allArgs) + }, MoreArgs = list(normal = normal)) + + + ### here ## there may be NAs if the points call on areas without data (e.g. ocean and using normal_bc, but points are being BC) From 1a18e6b3864ec70ba7c7f9e8c58f67c9c0ef51ef Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 14:12:48 -0800 Subject: [PATCH 25/88] more tests for climr_downscale (TBC) --- tests/testthat/test-climr_downscale.R | 34 ++++++++++++++++++++++++++- 1 file changed, 33 insertions(+), 1 deletion(-) diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index 989f1df8..af939b28 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -1,4 +1,4 @@ -test_that("test climr_dowscale", { +test_that("test climr_dowscale basic and spatial", { testInit("data.table") dbCon <- data_connect() @@ -95,3 +95,35 @@ if (interactive()) { out_spatial = TRUE, plot = "CMD") } }) + +test_that("test climr_dowscale with more args", { + testInit("data.table") + + ## a small area + xyz <- structure(list(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + ID = LETTERS[1:8], + Zone = c(rep("CWH",3), rep("CDF",5)), + Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")), + row.names = c(NA, -8L), class = "data.frame") + + argsCombos <- expand.grid(which_normal = c("auto", "normal_na", "normal_bc"), historic_period = c(NA, "2001_2020"), + historic_ts = c(NA, "1950:2010"), gcm_models = c(NA, "list_gcm()[1:3]"), + ssp = c(NA, "list_ssp()[1:3]"), gcm_period = c(NA, "list_gcm_period()[1:3]"), + gcm_ts_years = c(NA, "2015:2050"), gcm_hist_years = c(NA, "1950:2010")) |> + as.data.table() + + out <- apply(argsCombos[7], 1, function(args, xyz) { + browser() + args <- args[!is.na(args)] + args$xyz <- xyz # coerces to list. + args$vars <- c("PPT","CMD") ## for faster results. + + out <- try(do.call(climr_downscale, args)) + is(out, "data.frame") + }, xyz = xyz) + + browser() +}) From f95af99e57238ad5a1a41adf9b21fa8cbe0d40c9 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 15:59:28 -0800 Subject: [PATCH 26/88] fix test --- tests/testthat/test-climr_downscale.R | 32 ++++++++++++++++++++------- 1 file changed, 24 insertions(+), 8 deletions(-) diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index af939b28..23aab3f3 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -100,13 +100,11 @@ test_that("test climr_dowscale with more args", { testInit("data.table") ## a small area - xyz <- structure(list(Long = c(-127.70521, -127.62279, -127.56235, -127.7162, + xyz <- structure(list(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, -127.18585, -127.1254, -126.94957, -126.95507), - Lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - Elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - ID = LETTERS[1:8], - Zone = c(rep("CWH",3), rep("CDF",5)), - Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]), row.names = c(NA, -8L), class = "data.frame") argsCombos <- expand.grid(which_normal = c("auto", "normal_na", "normal_bc"), historic_period = c(NA, "2001_2020"), @@ -115,12 +113,30 @@ test_that("test climr_dowscale with more args", { gcm_ts_years = c(NA, "2015:2050"), gcm_hist_years = c(NA, "1950:2010")) |> as.data.table() - out <- apply(argsCombos[7], 1, function(args, xyz) { - browser() + out <- apply(argsCombos, 1, function(args, xyz) { args <- args[!is.na(args)] args$xyz <- xyz # coerces to list. args$vars <- c("PPT","CMD") ## for faster results. + if (!is.null(args$historic_ts)) { + args$historic_ts <- eval(parse(text = args$historic_ts)) + } + if (!is.null(args$gcm_models)) { + args$gcm_models <- eval(parse(text = args$gcm_models)) + } + if (!is.null(args$ssp)) { + args$ssp <- eval(parse(text = args$ssp)) + } + if (!is.null(args$gcm_period)) { + args$gcm_period <- eval(parse(text = args$gcm_period)) + } + if (!is.null(args$gcm_ts_years)) { + args$gcm_ts_years <- eval(parse(text = args$gcm_ts_years)) + } + if (!is.null(args$gcm_models)) { + args$gcm_hist_years <- eval(parse(text = args$gcm_hist_years)) + } + out <- try(do.call(climr_downscale, args)) is(out, "data.frame") }, xyz = xyz) From 0fe9f99a4964304cb0e69a343ad200186d5b1dba Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 18:23:17 -0800 Subject: [PATCH 27/88] complete test for climr_downscale arg combos --- tests/testthat/test-climr_downscale.R | 76 ++++++++++++++++++++++----- 1 file changed, 64 insertions(+), 12 deletions(-) diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index 23aab3f3..6de3b344 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -99,20 +99,28 @@ if (interactive()) { test_that("test climr_dowscale with more args", { testInit("data.table") - ## a small area - xyz <- structure(list(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - id = LETTERS[1:8]), - row.names = c(NA, -8L), class = "data.frame") + ## a small no. of points + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8], + Zone = c(rep("CWH",3), rep("CDF",5)), + Subzone = c("vm1","vm2","vs1",rep("mm",3),"dk","dc")) - argsCombos <- expand.grid(which_normal = c("auto", "normal_na", "normal_bc"), historic_period = c(NA, "2001_2020"), + argsCombos <- expand.grid(which_normal = c("auto", "normal_na"), historic_period = c(NA, "2001_2020"), historic_ts = c(NA, "1950:2010"), gcm_models = c(NA, "list_gcm()[1:3]"), ssp = c(NA, "list_ssp()[1:3]"), gcm_period = c(NA, "list_gcm_period()[1:3]"), - gcm_ts_years = c(NA, "2015:2050"), gcm_hist_years = c(NA, "1950:2010")) |> + gcm_ts_years = c(NA, "2020:2050"), gcm_hist_years = c(NA, "1950:2010")) |> as.data.table() + ## remove silly combos + argsCombos[is.na(gcm_models), + `:=`(gcm_period = NA, gcm_ts_years = NA, gcm_hist_years = NA, ssp = NA)] + argsCombos[is.na(gcm_period) & is.na(gcm_ts_years) & is.na(gcm_hist_years), + `:=`(gcm_models = NA, ssp = NA)] + argsCombos <- unique(argsCombos) + out <- apply(argsCombos, 1, function(args, xyz) { args <- args[!is.na(args)] args$xyz <- xyz # coerces to list. @@ -133,13 +141,57 @@ test_that("test climr_dowscale with more args", { if (!is.null(args$gcm_ts_years)) { args$gcm_ts_years <- eval(parse(text = args$gcm_ts_years)) } - if (!is.null(args$gcm_models)) { + if (!is.null(args$gcm_hist_years)) { args$gcm_hist_years <- eval(parse(text = args$gcm_hist_years)) } out <- try(do.call(climr_downscale, args)) - is(out, "data.frame") + + test <- is(out, "data.table") + test2 <- !any(c("ID", "Zone", "Subzone") %in% names(out)) + test3 <- all(args$vars %in% names(out)) + + ## check outputs of arguments that produce changing output columns + checkArgs <- setdiff(names(args), c("which_normal", "xyz", "vars")) + test4 <- logical(0) + i <- 1 + if (length(checkArgs)) { + if ("historic_period" %in% checkArgs) { + test4[i] <- all(args$historic_period %in% unique(out$PERIOD)) + i <- i + 1 + } + if ("historic_ts" %in% checkArgs) { + test4[i] <- all(args$historic_ts %in% unique(out$PERIOD)) + i <- i + 1 + } + if ("gcm_models" %in% checkArgs) { + test4[i] <- all(args$gcm_models %in% unique(out$GCM)) + i <- i + 1 + } + + if ("ssp" %in% checkArgs) { + test4[i] <- all(args$ssp %in% unique(out$SSP)) + i <- i + 1 + } + + if ("gcm_period" %in% checkArgs) { + test4[i] <- all(args$gcm_period %in% unique(out$PERIOD)) + i <- i + 1 + } + + if ("gcm_hist_years" %in% checkArgs) { + test4[i] <- all(args$gcm_hist_years %in% unique(out$PERIOD)) + i <- i + 1 + } + + if ("gcm_ts_years" %in% checkArgs) { + test4[i] <- all(args$gcm_ts_years %in% unique(out$PERIOD)) + i <- i + 1 + } + } + + return(list(test, test2, test3, test4)) }, xyz = xyz) - browser() + expect_true(all(out)) }) From 204d94f32c8c42c857686044c0fe87d6b65af561 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 18:23:27 -0800 Subject: [PATCH 28/88] fix test --- tests/testthat/test-climr_downscale.R | 171 ++++++++++++-------------- 1 file changed, 82 insertions(+), 89 deletions(-) diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index 6de3b344..aa416ae6 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -1,99 +1,92 @@ test_that("test climr_dowscale basic and spatial", { -testInit("data.table") - -dbCon <- data_connect() -on.exit(try(pool::poolClose(dbCon)), add = TRUE) - -## a small area -xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, - -127.18585, -127.1254, -126.94957, -126.95507), - lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), - elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), - id = LETTERS[1:8]) - -## get bounding box based on input points -thebb <- get_bb(xyz) - -ds_hist <- climr_downscale(xyz = xyz, which_normal = "auto", - historic_period = "2001_2020", - return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period - vars = c("PPT","CMD","CMI","Tave01","Tave07")) ##specify desired variablesds_hist <- climr_downscale(xyz = xyz, which_normal = "auto", - -test <- length(setdiff(ds_hist$id, xyz$id)) + length(setdiff( xyz$id, ds_hist$id)) -expect_true(test == 0) - -expect_true(all(ds_hist[, .N, by = ID][, N] == 2)) ## should have 2 periods (historic and normal) per ID - -test <- as.data.table(xyz)[ds_hist, on = .(ID, Zone, Subzone), nomatch = NA] -expect_false(any(is.na(test))) - -## ID cols should be present -expect_true(all(c("ID", "Zone", "Subzone") %in% names(ds_hist))) - -ds_hist2 <- climr_downscale(xyz = xyz, which_normal = "auto", - historic_period = "2001_2020", - return_normal = FALSE, ##put this to TRUE if you want the 1961-1990 period - vars = c("PPT","CMD","CMI","Tave01","Tave07")) -expect_true(all(ds_hist2[, .N, by = ID][, N] == 1)) ## should have only historic period per ID -test <- as.data.table(xyz)[ds_hist2, on = .(ID, Zone, Subzone), nomatch = NA] -expect_false(any(is.na(test))) - -## ID cols should be present -expect_true(all(c("ID", "Zone", "Subzone") %in% names(ds_hist2))) - -ds_hist_spatial <- climr_downscale(xyz = xyz, which_normal = "auto", - historic_period = "2001_2020", - return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period - vars = c("PPT","CMD","CMI","Tave01","Tave07"), - out_spatial = TRUE) -expect_true(is(ds_hist_spatial, "SpatVector")) -test <- as.data.table(ds_hist_spatial) -expect_true(all(c("ID", "Zone", "Subzone") %in% names(test))) -expect_true(all(test[, .N, by = ID][, N] == 2)) - -ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", - historic_period = "2001_2020", - return_normal = FALSE, ##put this to TRUE if you want the 1961-1990 period - vars = c("PPT","CMD","CMI","Tave01","Tave07"), - out_spatial = TRUE) -expect_true(is(ds_hist_spatial2, "SpatVector")) -test <- as.data.table(ds_hist_spatial2) -expect_true(all(c("ID", "Zone", "Subzone") %in% names(test))) -expect_true(all(test[, .N, by = ID][, N] == 1)) - -## TODO: checks with ts - -if (interactive()) { - ## check plots - x11() - ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", - historic_period = "2001_2020", return_normal = TRUE, - vars = c("PPT","CMD","CMI","Tave01","Tave07"), - out_spatial = TRUE, plot = "CMD") + testInit("data.table") - ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", - historic_period = "2001_2020", - vars = c("PPT","CMD","CMI","Tave01","Tave07"), - out_spatial = TRUE, plot = "CMD") + dbCon <- data_connect() + on.exit(try(pool::poolClose(dbCon)), add = TRUE) - ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", - historic_period = "2001_2020", - gcm_models = list_gcm()[1], - gcm_period = list_gcm_period()[1], - ssp = list_ssp()[1], max_run = 0, - return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period - vars = c("PPT","CMD","CMI","Tave01","Tave07"), - out_spatial = TRUE, plot = "CMD") + ## a small area + xyz <- data.frame(lon = c(-127.70521, -127.62279, -127.56235, -127.7162, + -127.18585, -127.1254, -126.94957, -126.95507), + lat = c(55.3557, 55.38847, 55.28537, 55.25721, 54.88135, 54.65636, 54.6913, 54.61025), + elev = c(291L, 296L, 626L, 377L, 424L, 591L, 723L, 633L), + id = LETTERS[1:8]) + + ## get bounding box based on input points + thebb <- get_bb(xyz) + + ds_hist <- climr_downscale(xyz = xyz, which_normal = "auto", + historic_period = "2001_2020", + return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period + vars = c("PPT","CMD","CMI","Tave01","Tave07")) ##specify desired variablesds_hist <- climr_downscale(xyz = xyz, which_normal = "auto", + + test <- length(setdiff(ds_hist$id, xyz$id)) + length(setdiff( xyz$id, ds_hist$id)) + expect_true(test == 0) + + expect_true(all(ds_hist[, .N, by = ID][, N] == 2)) ## should have 2 periods (historic and normal) per ID + + test <- as.data.table(xyz)[ds_hist, on = .(ID, Zone, Subzone), nomatch = NA] + expect_false(any(is.na(test))) + + ## ID cols shouldn't be present + + + ds_hist2 <- climr_downscale(xyz = xyz, which_normal = "auto", + historic_period = "2001_2020", + return_normal = FALSE, ##put this to TRUE if you want the 1961-1990 period + vars = c("PPT","CMD","CMI","Tave01","Tave07")) + expect_true(all(ds_hist2[, .N, by = ID][, N] == 1)) ## should have only historic period per ID + test <- as.data.table(xyz)[ds_hist2, on = .(ID, Zone, Subzone), nomatch = NA] + expect_false(any(is.na(test))) + + ds_hist_spatial <- climr_downscale(xyz = xyz, which_normal = "auto", + historic_period = "2001_2020", + return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period + vars = c("PPT","CMD","CMI","Tave01","Tave07"), + out_spatial = TRUE) + expect_true(is(ds_hist_spatial, "SpatVector")) + test <- as.data.table(ds_hist_spatial) + expect_true(all(test[, .N, by = ID][, N] == 2)) ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", historic_period = "2001_2020", - gcm_models = list_gcm()[1:2], - gcm_period = list_gcm_period()[1:2], - ssp = list_ssp()[1:2], max_run = 2, - return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period + return_normal = FALSE, ##put this to TRUE if you want the 1961-1990 period vars = c("PPT","CMD","CMI","Tave01","Tave07"), - out_spatial = TRUE, plot = "CMD") -} + out_spatial = TRUE) + expect_true(is(ds_hist_spatial2, "SpatVector")) + test <- as.data.table(ds_hist_spatial2) + expect_true(all(test[, .N, by = ID][, N] == 1)) + + if (interactive()) { + ## check plots + x11() + ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", + historic_period = "2001_2020", return_normal = TRUE, + vars = c("PPT","CMD","CMI","Tave01","Tave07"), + out_spatial = TRUE, plot = "CMD") + + ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", + historic_period = "2001_2020", + vars = c("PPT","CMD","CMI","Tave01","Tave07"), + out_spatial = TRUE, plot = "CMD") + + ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", + historic_period = "2001_2020", + gcm_models = list_gcm()[1], + gcm_period = list_gcm_period()[1], + ssp = list_ssp()[1], max_run = 0, + return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period + vars = c("PPT","CMD","CMI","Tave01","Tave07"), + out_spatial = TRUE, plot = "CMD") + + ds_hist_spatial2 <- climr_downscale(xyz = xyz, which_normal = "auto", + historic_period = "2001_2020", + gcm_models = list_gcm()[1:2], + gcm_period = list_gcm_period()[1:2], + ssp = list_ssp()[1:2], max_run = 2, + return_normal = TRUE, ##put this to TRUE if you want the 1961-1990 period + vars = c("PPT","CMD","CMI","Tave01","Tave07"), + out_spatial = TRUE, plot = "CMD") + } }) test_that("test climr_dowscale with more args", { From 221db52f375f87ff2de441a80555e4704806d8bb Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 18:42:22 -0800 Subject: [PATCH 29/88] add many arg checks and messages (TBC) --- R/downscale.R | 57 ++++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 54 insertions(+), 3 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index a76c9204..ef0a92d7 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -82,15 +82,15 @@ #' @rdname downscaling #' @export climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), historic_period = NULL, historic_ts = NULL, - gcm_models = NULL, ssp = c("ssp126", "ssp245", "ssp370", "ssp585"), + gcm_models = NULL, ssp = list_ssp(), gcm_period = NULL, gcm_ts_years = NULL, gcm_hist_years = NULL, max_run = 0L, return_normal = TRUE, vars = sort(sprintf(c("PPT%02d", "Tmax%02d", "Tmin%02d"), sort(rep(1:12, 3)))), cache = TRUE, out_spatial = FALSE, plot = NULL) { message("Welcome to climr!") ## checks - expectedCols <- c("lon", "lat", "elev", "id") - xyz <- .checkXYZ(xyz, expectedCols) + browser() + .checkDwnsclArgs() dbCon <- data_connect() thebb <- get_bb(xyz) ## get bounding box based on input points @@ -860,3 +860,54 @@ unpackRasters <- function(ras) { return(xyz) } + + + +#' Check arguments of `climr_downscale` and `downscale` +#' +#' @inheritParams climr_downscale +#' @inheritParams downscale +#' +#' @return NULL +.checkDwnsclArgs <- function(xyz, which_normal = NULL, historic_period = NULL, historic_ts = NULL, + gcm_models = NULL, ssp = list_ssp(), gcm_period = NULL, gcm_ts_years = NULL, + gcm_hist_years = NULL, max_run = 0L) { + which_normal <- match.arg(which_normal, c("auto", list_normal())) + ssp <- match.arg(ssp, list_ssp(), several.ok = TRUE) + vars <- match.arg(ssp, list_variables(), several.ok = TRUE) + + if (!is.null(historic_period)) { + historic_period <- match.arg(historic_period, list_historic(), several.ok = TRUE) + } + + if (!is.null(historic_ts)) { + if (!all(historic_ts %in% 1902:2015)) { + stop("'historic_ts' must be in 1902:2015") + } + } + + if (!is.null(gcm_models)) { + gcm_models <- match.arg(gcm_models, list_gcm(), several.ok = TRUE) + } + + if (!is.null(gcm_period)) { + gcm_period <- match.arg(gcm_period, list_gcm_period(), several.ok = TRUE) + } + + if (!is.null(gcm_ts_years)) { + if (!all(gcm_ts_years %in% 2015:2100)) { + stop("'gcm_ts_years' must be in 2015:2100") + } + } + + msg <- "'max_run' must be 0 or larger" + if (!inherits(max_run, c("integer", "numeric"))) { + stop(msg) + } else if (max_run < 0) { + stop(msg) + } + + expectedCols <- c("lon", "lat", "elev", "id") + xyz <- .checkXYZ(xyz, expectedCols) +} + From 4a7e15863c1cbd861b24663b424e8bdbc53d82d3 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 20:23:28 -0800 Subject: [PATCH 30/88] rm another silly arg combo from test --- tests/testthat/test-climr_downscale.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index aa416ae6..e7309458 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -112,6 +112,8 @@ test_that("test climr_dowscale with more args", { `:=`(gcm_period = NA, gcm_ts_years = NA, gcm_hist_years = NA, ssp = NA)] argsCombos[is.na(gcm_period) & is.na(gcm_ts_years) & is.na(gcm_hist_years), `:=`(gcm_models = NA, ssp = NA)] + argsCombos[is.na(gcm_period) & is.na(gcm_ts_years), + `:=`(ssp = NA)] argsCombos <- unique(argsCombos) out <- apply(argsCombos, 1, function(args, xyz) { From 35f827092bddbe599e05e4079cc87c9742eb95fc Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 20:23:47 -0800 Subject: [PATCH 31/88] test fixes --- tests/testthat/test-climr_downscale.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index e7309458..85680f96 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -185,8 +185,8 @@ test_that("test climr_dowscale with more args", { } } - return(list(test, test2, test3, test4)) + return(c(test, test2, test3, test4)) }, xyz = xyz) - expect_true(all(out)) + expect_true(all(unlist(out))) }) From 97b7a068131ea9f285e1988fe6e058024f070f0d Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 20:51:56 -0800 Subject: [PATCH 32/88] suppresswarnings in test --- tests/testthat/test-climr_downscale.R | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/tests/testthat/test-climr_downscale.R b/tests/testthat/test-climr_downscale.R index 85680f96..667ca968 100644 --- a/tests/testthat/test-climr_downscale.R +++ b/tests/testthat/test-climr_downscale.R @@ -118,7 +118,7 @@ test_that("test climr_dowscale with more args", { out <- apply(argsCombos, 1, function(args, xyz) { args <- args[!is.na(args)] - args$xyz <- xyz # coerces to list. + suppressWarnings(args$xyz <- xyz) # coerces to list. args$vars <- c("PPT","CMD") ## for faster results. if (!is.null(args$historic_ts)) { @@ -187,6 +187,5 @@ test_that("test climr_dowscale with more args", { return(c(test, test2, test3, test4)) }, xyz = xyz) - expect_true(all(unlist(out))) }) From 080297bbd0764efdfb95a34e6184bbb12b2790ab Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 21:32:40 -0800 Subject: [PATCH 33/88] complete 221db52f375f87ff2de441a80555e4704806d8bb --- R/downscale.R | 43 ++++++++++++++++++++++++++++++++++++------- 1 file changed, 36 insertions(+), 7 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index ef0a92d7..a1158fbb 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -89,8 +89,9 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor message("Welcome to climr!") ## checks - browser() - .checkDwnsclArgs() + thiscall <- match.call() + thiscall[[1]] <- as.name(".checkDwnsclArgs") + eval(thiscall, envir = parent.frame()) dbCon <- data_connect() thebb <- get_bb(xyz) ## get bounding box based on input points @@ -302,7 +303,9 @@ downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, g vars = sort(sprintf(c("PPT%02d", "Tmax%02d", "Tmin%02d"), sort(rep(1:12, 3)))), ppt_lr = FALSE, nthread = 1L, out_spatial = FALSE, plot = NULL) { ## checks - xyz <- .checkXYZ(xyz) + thiscall <- match.call() + thiscall[[1]] <- as.name(".checkDwnsclArgs") + eval(thiscall, envir = parent.frame()) # Make sure normal was built using normal_input if (!isTRUE(attr(normal, "builder") == "climr")) { @@ -867,14 +870,22 @@ unpackRasters <- function(ras) { #' #' @inheritParams climr_downscale #' @inheritParams downscale +#' @param ... ignored #' #' @return NULL -.checkDwnsclArgs <- function(xyz, which_normal = NULL, historic_period = NULL, historic_ts = NULL, +.checkDwnsclArgs <- function(xyz, which_normal = NULL, normal = NULL, historic_period = NULL, historic_ts = NULL, gcm_models = NULL, ssp = list_ssp(), gcm_period = NULL, gcm_ts_years = NULL, - gcm_hist_years = NULL, max_run = 0L) { - which_normal <- match.arg(which_normal, c("auto", list_normal())) + gcm_hist_years = NULL, max_run = 0L, vars = list_variables(), ...) { ssp <- match.arg(ssp, list_ssp(), several.ok = TRUE) - vars <- match.arg(ssp, list_variables(), several.ok = TRUE) + vars <- match.arg(vars, list_variables(), several.ok = TRUE) + + if (!is.null(which_normal)) { + which_normal <- match.arg(which_normal, c("auto", list_normal())) + } + + if (!is.null(normal)) { + normal <- match.arg(normal, c("auto", list_normal())) + } if (!is.null(historic_period)) { historic_period <- match.arg(historic_period, list_historic(), several.ok = TRUE) @@ -909,5 +920,23 @@ unpackRasters <- function(ras) { expectedCols <- c("lon", "lat", "elev", "id") xyz <- .checkXYZ(xyz, expectedCols) + + + ## check for "silly" parameter combinations + if (!is.null(gcm_models) & + all(is.null(gcm_hist_years), is.null(gcm_ts_years), is.null(gcm_period), is.null(ssp))) { + message("'gcm_models' will be ignored, since 'gcm_hist_years', 'gcm_ts_years', 'gcm_period' and 'ssp' are missing") + } + + if (is.null(gcm_models) & + any(!is.null(gcm_hist_years), !is.null(gcm_ts_years), !is.null(gcm_period), !is.null(ssp))) { + message("'gcm_models' is missing. 'gcm_hist_years', 'gcm_ts_years', 'gcm_period' and 'ssp' will be ignored") + } + + if ((!is.null(max_run) | max_run > 0) & + is.null(gcm_models)) { + message("'gcm_models' is missing. 'max_run' will be ignored") + } + return(invisible(NULL)) } From b7d8ff40ef170b0ffa459ae8762398cbc00e0380 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Tue, 16 Jan 2024 21:57:50 -0800 Subject: [PATCH 34/88] mv checks `downscale` to a separate function --- R/downscale.R | 98 ++++++++++++++++++++++++++++++++++++++------------- 1 file changed, 74 insertions(+), 24 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index a1158fbb..bdd0f128 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -90,7 +90,7 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor ## checks thiscall <- match.call() - thiscall[[1]] <- as.name(".checkDwnsclArgs") + thiscall[[1]] <- as.name(".checkClimrDwnsclArgs") eval(thiscall, envir = parent.frame()) dbCon <- data_connect() @@ -307,22 +307,6 @@ downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, g thiscall[[1]] <- as.name(".checkDwnsclArgs") eval(thiscall, envir = parent.frame()) - # Make sure normal was built using normal_input - if (!isTRUE(attr(normal, "builder") == "climr")) { - stop( - "Please use this package `normal_input` function to create `normal`.", - " See `?normal_input` for details." - ) - } - - # Make sure gcm was built using gcm_input - if (!is.null(gcm) && !isTRUE(attr(gcm, "builder") == "climr")) { - stop( - "Please use this package `gcm_input` function to create `gcm`.", - " See `?gcm_input` for details." - ) - } - if (isTRUE(nthread > 1L)) { if (!requireNamespace("parallel")) { message("nthreads is >1, but 'parallel' package is not available.") @@ -866,14 +850,13 @@ unpackRasters <- function(ras) { -#' Check arguments of `climr_downscale` and `downscale` +#' Check `climr_downscale` arguments #' #' @inheritParams climr_downscale -#' @inheritParams downscale #' @param ... ignored #' #' @return NULL -.checkDwnsclArgs <- function(xyz, which_normal = NULL, normal = NULL, historic_period = NULL, historic_ts = NULL, +.checkClimrDwnsclArgs <- function(xyz, which_normal = NULL, normal = NULL, historic_period = NULL, historic_ts = NULL, gcm_models = NULL, ssp = list_ssp(), gcm_period = NULL, gcm_ts_years = NULL, gcm_hist_years = NULL, max_run = 0L, vars = list_variables(), ...) { ssp <- match.arg(ssp, list_ssp(), several.ok = TRUE) @@ -883,10 +866,6 @@ unpackRasters <- function(ras) { which_normal <- match.arg(which_normal, c("auto", list_normal())) } - if (!is.null(normal)) { - normal <- match.arg(normal, c("auto", list_normal())) - } - if (!is.null(historic_period)) { historic_period <- match.arg(historic_period, list_historic(), several.ok = TRUE) } @@ -940,3 +919,74 @@ unpackRasters <- function(ras) { return(invisible(NULL)) } +#' Check `downscale` arguments +#' +#' @inheritParams downscale +#' @param ... ignored +#' +#' @return NULL +.checkDwnsclArgs <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, gcm_hist = NULL, + historic_ts = NULL, return_normal = FALSE, + vars = list_variables(), ...) { + + vars <- match.arg(vars, list_variables(), several.ok = TRUE) + + if (!isTRUE(attr(normal, "builder") == "climr")) { + stop( + "Please use `normal_input` function to create `normal`.", + " See `?normal_input` for details." + ) + } + + # Make sure gcm was built using gcm_input + if (!is.null(gcm) && !isTRUE(attr(gcm, "builder") == "climr")) { + stop( + "Please use `gcm_input` function to create `gcm`.", + " See `?gcm_input` for details." + ) + } + + # Make sure gcm_ts was built using gcm_ts_input + if (!is.null(gcm_ts) && !isTRUE(attr(gcm_ts, "builder") == "climr")) { + stop( + "Please use `gcm_ts_input` function to create `gcm_ts`.", + " See `?gcm_ts_input` for details." + ) + } + + # Make sure gcm_hist was built using gcm_hist_input + if (!is.null(gcm_hist) && !isTRUE(attr(gcm_hist, "builder") == "climr")) { + stop( + "Please use `gcm_hist_input` function to create `gcm_hist`.", + " See `?gcm_hist_input` for details." + ) + } + + # Make sure historic was built using historic_input + if (!is.null(historic) && !isTRUE(attr(historic, "builder") == "climr")) { + stop( + "Please use `historic_input` function to create `historic`.", + " See `?historic_input` for details." + ) + } + + # Make sure historic_ts was built using historic_input_ts + if (!is.null(historic_ts) && !isTRUE(attr(historic_ts, "builder") == "climr")) { + stop( + "Please use `historic_input_ts` function to create `historic_ts`.", + " See `?historic_input_ts` for details." + ) + } + + expectedCols <- c("lon", "lat", "elev", "id") + xyz <- .checkXYZ(xyz, expectedCols) + + ## check for "silly" parameter combinations + if (all(is.null(gcm), is.null(gcm_ts), is.null(gcm_hist), + is.null(historic), is.null(historic_ts))) { + warning("'gcm', 'gcm_ts', 'gcm_hist', 'historic' and 'historic_ts' are missing. Nothing to downscale.") + } + + return(invisible(NULL)) +} + From 968e10aba824af53e4e6e1c4012c8fe4f3db2670 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Wed, 17 Jan 2024 12:52:46 -0800 Subject: [PATCH 35/88] associate attr(..., "builder") with list as in gcm*_input functions --- R/historic.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/R/historic.R b/R/historic.R index 514fae5c..2fd6becb 100644 --- a/R/historic.R +++ b/R/historic.R @@ -43,8 +43,8 @@ historic_input <- function(dbCon, bbox = NULL, period = list_historic(), cache = if (all(period %in% periods[uid == oldid, period])) { message("Retrieving from cache...") hist_rast <- rast(paste0(cache_path(), "/historic/", dbcode, "/", oldid, ".tif")) - attr(hist_rast, "builder") <- "climr" hist_rast <- list(hist_rast) + attr(hist_rast, "builder") <- "climr" names(hist_rast) <- period return(hist_rast) } else { @@ -75,8 +75,8 @@ historic_input <- function(dbCon, bbox = NULL, period = list_historic(), cache = fwrite(t2, file = paste0(cache_path(), "/historic/", dbcode, "/meta_period.csv"), append = TRUE) } - attr(hist_rast, "builder") <- "climr" hist_rast <- list(hist_rast) + attr(hist_rast, "builder") <- "climr" names(hist_rast) <- period return(hist_rast) } @@ -114,8 +114,8 @@ historic_input_ts <- function(dbCon, bbox = NULL, years = 2010:2022, cache = TRU if (all(years %in% periods[uid == oldid, period])) { message("Retrieving from cache...") hist_rast <- rast(paste0(cache_path(), "/historic_ts/", ts_name, "/", oldid, ".tif")) - attr(hist_rast, "builder") <- "climr" hist_rast <- list(hist_rast) + attr(hist_rast, "builder") <- "climr" names(hist_rast) <- paste(years[1], tail(years, 1), sep = ":") return(hist_rast) } else { @@ -146,8 +146,8 @@ historic_input_ts <- function(dbCon, bbox = NULL, years = 2010:2022, cache = TRU fwrite(t2, file = paste0(cache_path(), "/historic_ts/", ts_name, "/meta_period.csv"), append = TRUE) } - attr(hist_rast, "builder") <- "climr" hist_rast <- list(hist_rast) + attr(hist_rast, "builder") <- "climr" names(hist_rast) <- paste(years[1], tail(years, 1), sep = ":") return(hist_rast) } From 53847a5ff50d729b0e33716d64b136f204de5ea7 Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Wed, 17 Jan 2024 12:53:13 -0800 Subject: [PATCH 36/88] mv .checkXYZ up a level --- R/downscale.R | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/R/downscale.R b/R/downscale.R index bdd0f128..334ec185 100644 --- a/R/downscale.R +++ b/R/downscale.R @@ -93,6 +93,9 @@ climr_downscale <- function(xyz, which_normal = c("auto", list_normal()), histor thiscall[[1]] <- as.name(".checkClimrDwnsclArgs") eval(thiscall, envir = parent.frame()) + expectedCols <- c("lon", "lat", "elev", "id") + xyz <- .checkXYZ(xyz, expectedCols) + dbCon <- data_connect() thebb <- get_bb(xyz) ## get bounding box based on input points @@ -307,6 +310,9 @@ downscale <- function(xyz, normal, gcm = NULL, historic = NULL, gcm_ts = NULL, g thiscall[[1]] <- as.name(".checkDwnsclArgs") eval(thiscall, envir = parent.frame()) + expectedCols <- c("lon", "lat", "elev", "id") + xyz <- .checkXYZ(xyz, expectedCols) + if (isTRUE(nthread > 1L)) { if (!requireNamespace("parallel")) { message("nthreads is >1, but 'parallel' package is not available.") @@ -897,10 +903,6 @@ unpackRasters <- function(ras) { stop(msg) } - expectedCols <- c("lon", "lat", "elev", "id") - xyz <- .checkXYZ(xyz, expectedCols) - - ## check for "silly" parameter combinations if (!is.null(gcm_models) & all(is.null(gcm_hist_years), is.null(gcm_ts_years), is.null(gcm_period), is.null(ssp))) { @@ -978,9 +980,6 @@ unpackRasters <- function(ras) { ) } - expectedCols <- c("lon", "lat", "elev", "id") - xyz <- .checkXYZ(xyz, expectedCols) - ## check for "silly" parameter combinations if (all(is.null(gcm), is.null(gcm_ts), is.null(gcm_hist), is.null(historic), is.null(historic_ts))) { From dd4e98df61a48b1fcd8c9289f711d61ad86230ee Mon Sep 17 00:00:00 2001 From: CeresBarros Date: Wed, 17 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