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Analyses for the country office on NDVI during different seasons

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Country Support Analysis for Ethiopia

This project uses a hybrid of python and R

Directory structure

The code in this repository is organized as follows:

├── analysis      # Main repository of analytical work for the AA pilot
├── R             # Scripts needed for analysis
├── src         # Code to run any relevant data acquisition/processing pipelines
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├── .gitignore
├── README.md
└── requirements.txt

Reproducing this analysis

To run python notebooks, install

pip install git+https://github.com/OCHA-DAP/pa-aa-toolbox.git@ndvi#egg=aa-toolbox

In a future release, the package can instead be installed with pip install aa-toolbox

Install python code in src using the command:

pip install -e .

Analyses done in R utilize Rmds which are also contained analysis folder. Any custom R functions that are sourced in a script or notebook are contained in the R directory. All required libraries are listed at the top of each R script/notebook. If you do not have the required packaged it can be installed with

install.packates("nameOfPackage")

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Analyses for the country office on NDVI during different seasons

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