QGIS 101

Stacey Maples – Geospatial Manager – Stanford Geospatial Center – [email protected]

David Medeiros – GIS Instruction & Support Specialist - Stanford Geospatial Center - [email protected]

Overview

This workshop aims to accomplish two things: Introduce participants to basic vocabulary, concepts and techniques for working with spatial data in research and introduce the interface and tools in QGIS, a free & open source desktop GIS software. This introductory session will focus upon the fundamental concepts and skills needed to begin using Geographic Information Systems software for the exploration and analysis of spatial data using the QGIS platform.

Topics will include:

• What is GIS?
• Spatial Data Models and Formats
• Projections and Coordinate Systems
• Basic Data Management
• The QGIS User Interface
• Simple Analysis using Visualization.

GIS Resources: Stanford Geospatial Center website - http://gis.stanford.edu/

Stanford GIS Listserv - https://mailman.stanford.edu/mailman/listinfo/stanfordgis

QGIS Current Version Download -

QGIS Current Version Help - https://qgis.org/en/docs/index.html

Download Tutorial Data

Setup

Users should prepare for this workshop by installing the QGIS software appropriate for their operating system and downloading the data to their local hard drive.

Software

This workshop was created using QGIS version 3.4, which is the long-term release. If you are in new user we suggest installing the latest long-term release for your operating system. While the latest beta release contains extra features and functionality, it often and also contains bugs and limited functionality, which can be frustrating to new users.

To download QGIS for your operating system go to QGIS.org and click on the download link.

https://qgis.org/en/site/forusers/download.html

Data

The data package for the workshop can be downloaded from https://github.com/mapninja/QGIS-101/archive/master.zip

The project data folder contains the following datasets:

• deathAddresses.csv - this is a table latitude and longitude coordinates for addresses affected by the cholera outbreak. This table also contains the number of deaths at each address.
• snow_map.png.tif - this is a non-georeferenced image of the map from John Snow's original report on the cholera outbreak of 1854.
• Study_Area.shp - This file is simply a rectangular feature that describes our area of interest.

Additional Files

There is an extra backup data folder that contains versions of files that we will create during the workshop. These files are provided in case any of the steps can't be completed due to software errors or other problems. Welcome to working with open source.

• Snow-cholera-map-1_modified - this is a geo-referenced image of the map from John Snow's original report on the cholera outbreak of 1854.
• Water_Pumps.geojson - this is a spatial data file containing the locations of all of the water pumps recorded in John Snow's original map of the cholera outbreak. Who woo hoo

Getting started on a project

In this section we will cover starting a new QGIS project. We will create a new map document, go over the basic QGIS interface, customize that interface, add a plug-in and bring a base map into your QGIS project.

Create a Map Document

1. To create a new map document, simply open QGIS and save the resulting empty document to the top level of your project folder, naming your new document something meaningful like "SnowMap.qgz" or "Cholera_Map.qgz"

Notice that when you save your map document a new folder in your data browser panel appears. This folder is called Project Hhome and is a shortcut to the folder containing your map document. It's always a good idea to save your map document to a high-level folder above your data and other project directories.

Interface overview

The QGIS interface is similar to many desktop GIS applications. The basic you GIS interface resembles most others GIS interfaces in that it uses a table of contents and data frame model for user interaction. In QGIS the Table Of Contents is referred to as the Layers Panel and the Data Frame is referred to as the Map Canvas.

The Basic Components of the QGIS Interface

The QGIS interface is made up of three basic components:

The Map Canvas – the map canvas is where your visualizations of data will show up when you had a new data layer. This is where you will view the changes that are made when you adjust symbology, when you change the order of layers, or when you produce a new data set through geo-processing

Tabbed Windows:

• The Browser Window – Functions much as Explorer does in Windows. In this window, you can visualize your drives and folders. Is the equivalent of ArcCatalog in ArcMap.
• The Layers Window – This is where your added geographic and non-geographic datasets will show. This is similar to the Table of Contents in ArcMap.
• Other Panels - there are many other panels that it is possible to enable in the QGIS interface. We will be making use of the Processing Toolbox and Layer Styling panel for this workshop.

General Toolbars:

• File Bar – Has the basic commands of any file: New, Open, Save, Save As. The New Print Composer and Composer Manager are to create and manage layout views.
• Map Navigation – Allows the user to Pan, Zoom to a Selected Feature, Zoom In, Zoom Out, Zoom to previous/next extent, and Refresh.
• Attributes – These tools allow the user to: Identify attributes, Select / Deselect features, Opens attribute table, measure distance/areas/angles, create spatial bookmarks.
• Plugins – QGIS comes with two default plugins: Python Console and QGis 2 Leaflet Webmap.
• Help – The question mark booklet is linked to the QGIS User Guide.
• Manage Layers – This bar is to add layers (vector, raster, new shapefile layer)

Customize the interface

When you first open QGIS, you might find the toolbars and panels that are neabled by default are more than your project calls for. Most panels and toolbars in the QGIS interface can be moved around by grabbing the title bar of panels, or the dotted handle on toolbars, and dragging them to the desired location in the interface. You can also use the View menu to turn panels and toobars on and off.

1. Toggle the visibility and move toolbars and panels until your QGIS interface resembles the image below.

Add a plugin

The first thing we would like to do is add a base map layer to our map project. We will use the Quick Map Services plug-in to add a base map created by Stamen design. QGIS uses a plug-in model to extend the functionality of the basic software. Most plug-ins are contributed by members of the QGIS community and many extend functionality by adding interactivity with external services like geocoding, routing, and base map services.

1. On the Main menu of QGIS, find the Plug-ins menu and open the Manage and install plugins dialogue.
2. In the search box at the top of the dialogue, search for the term "QuickMapServices"
3. The search should return a plug-in called "QuickMapServices."
4. Click on the QuickMapServices plug-in name and then click the install plug-in button
5. Once the plug-in has successfully installed, Close the plug-in management dialog.

Add a basemap service layer

1. Installing the QuickMapServices plug-in should have added a new menu item to the QGIS Main Menu called "Web".
2. Click on the Web menu and from the QuickMapServices item select "Settings."
3. Select the "More Services" tab and click on the "Get contributed pack" button. This will download a large list of web map services that can be used directly into GIS as base maps.
   
4. Once the contributed pack has been downloaded click Save to close the dialog.
5. Now return to the quick map services menu, and select the Stamen> Stamen Toner Lite base map.
6. Save your map document.

Add an existing data layer

Now we're going to add an existing data layer. The data layer that we will add describes our Area Of Interest in this study. This layer will provide us with a convenient way to orient our data frame to the area that we are interested in, as well as providing a way to limit the processing extent of certain geo-processing tools.

1. In the QGIS Browser panel, find the data folder for this workshop (Hint: look for the "Project Home" folder) and double-click on the study_area.shp file, to add it to your map project.
2. In the Layers panel, right-click on the study_area layer and select "Zoom to layer."
3. On the Main menu, enable the Layer styling panel from the View>Panels menu.
4. In the Layer styling panel select Simple fill from the panel at the top, and change the Fill style to "No brush." If you would like you can also change the Stroke color & Stroke width of the stroke to make it more visible against the black-and-white basemap.
5. Save your map document.

Explore navigation tools

Now we will explore the basic navigation tools in QGIS. These are the tools that you will

The Map Navigation Toolbar provides the bulk of the tools for navigation in the Map Canvas. Most of them are fairly obvious. Take a moment to explore each of these tools, and how it works.

The Touch Zoom and Pan - Works if you have a notebook with touch screen. Zoom in and zoom out using double finger touch.

The Pan Map changes the Extent of Map Canvas, without changing the scale. Click on the Pan Tool and use it to move around the Map Canvas.

The Pan Map to Selection changes the Extent of your Map Canvas to the feature being selected, without changing the scale

The Zoom In Tool and Zoom Out works exactly as you would expect. Click on the Zoom Tool, and drag a box to enclose the Continental United States. You can also single-click with this tool to use it as a Fixed Zoom Tools.

The Zoom Full zooms you to the full extent of the layer in your Map Project with the largest spatial extent. This can sometimes be problematic if you are working at a local level, but using one or more layers that are global in extent (for example, many of the network base map services).

The Zoom to Selection changes the Extent of your Map Canvas and zooms in or out to the selected feature.

Scale

When zooming in or out, the Scale Values at the bottom page changes. Remember that the bigger the number (1:60,000,000), the larger the area being displayed. Although 60,000,000 is bigger than 60, a scale 1:60,000,000 is a small scale and 1:60 is a large scale because the division of 1/60,000,000 is smaller than 1/60.

The Zoom to Layer to a specific layer extent.

The Zoom Last and Zoom Next works as a Redo or Undo tool ONLY for the Scale/Extent in your Map Canvas. This tool is particularly useful if you change your Map Extent inadvertently.

The Refresh Button will reload your Map Extent

Spatial Bookmarks

Often, we want to be able to move around in our data frame examining different parts of the map zooming in and out, and then returning to our primary area of interest. This can be easily accommodated through the use of spatial bookmarks. Here you'll create a spatial bookmark which allows us to quickly return to the area that we are interested in.

1. Previously we used the main menu to enable a panel. This time, try right-clicking in any empty area of the toolbar then scroll down and select the Spatial Bookmarks panel from the menu that is presented.
2. Right-click on your study_area layer and select Zoom to layer.
3. Click on the Add Bookmark button and rename the resulting Spatial Bookmark: "SOHO"
   
4. Click on the Zoom Full button to zoom to the world, then use the **Zoom to bookmark ** button to return to your Area of Interest.

Working with CRS

Here we will examine the default Coordinate Reference System, which should currently be sent to Web Mercator and we will change it to Universal Transverse Mercator to match our study area layer.

Examine the CRS of a data layer

1. Right-click on the study area layer select the Layer Properties from the menu.
2. Click on the Source tab on the left side of the properties panel, and note in the section called Geometry And Coordinate Reference System that the CRS of this layer is:

EPSG:32630 WGS 84 / UTM zone 30N

3. Click OK to close the Layer Properties Dialog
4. On the Main Menu Open the Project Properties from the Project menu.
5. Click on the CRS tab at the left and note that the project is in a projection called:

EPSG:3857 WGS 84 Pseudo-Mercator

This is the projection of the basemap and is the default for the project because the basemap was the first layer that we added to the project.

Change the Project CRS

1. Locate the CRS of the Study_Area layer in the "Recently used coordinate reference systems" section, or type the EPSG code "32630" into the Filter box at the top of the Properties dialog.
   
2. Click on the EPSG:32630 WGS 84 / UTM zone 30N and then click OK to change the CRS of the Project to the same as the layer Study_Area.
3. Save your changes by clicking on the Save button on the Project toolbar.

You should now see that the base map and study area layer in the map canvas have rotated slightly and are now oriented north-south.

Create a data layer from an XY table?

Often the data sets that you want to work with will not come as spatial data sets. In this step we will add a table of data that contains fields with the latitude and longitude coordinates of the deaths addresses we want to analyze.

1. In the Data Source Manager Toolbar, select the ‘Open Data Source Manager’ icon.
2. Click on the Delimited Text button to open the Add Delimited Text dialog.
3. For File Name, browse to the data folder and select the deathAddresses.csv
4. Set the remainder of the settings as follows, and click Add & Close to import the layer:

setting	value
File Format:	CSV
Record and Field Options:	"First records has field names" = true "Detect field types" = true
Geometry Definition:	Point coordinates: "X field" = 'xcoord, "Y field" = 'ycoord'
Geometry CRS:	EPSG:4326 - WGS 84

Layer symbology

Proportional symbols on Death Addresses

1. If not already, click on the deathAddresses layer to highlight it and focus the Layer Styling panel on this layer and use the following settings to adjust the deathAddresses Symbology:

setting	value
Symbology Type:	Graduated
Value:	Num_Cases
Symbol:	click to change the color if you like
Legend Precision:	1
Method:	Size
Size from:	10,50,'Map Units'
Classes>Mode:	Equal Interval
Classes:	3

Because QGIS now features live update of symbology changes you should see these changes apply as you change the setting values.

Bonus: Adding Drop Shadows

1. At the bottom of the Layer Styling panel, look for the "Draw Effects" option and check it, then click on the star that becomes active.
2. Check the option for Drop Shadow and adjust the settings to see what effect they have.

Viewing the Attribute Table

Up to this point we've been mostly concerned with building a new map project. Now we'd like to take a peek at some of the data behind the Map Canvas.

1. Right-click on the deathAddresses layer in the Layers panel and select Open Attribute Table.
2. Note that you can sort fields, scroll, select by attributes, etc...

Statistics on a field

As mentioned, above, the Num_Cases field in the Death Addresses data indicates the number of deaths at each address in the dataset. You can get a simple statistical snapshot of the variable from the Attribute Table.

1. Close the Attribute Table
2. On the pull-down menu go to Vector > Analysis Tools > Basic Statistics for Fields
3. On the window select Death Addresses as the Input Vector layer and Num_Cases as the Target field.
4. Click Run and Close
5. Look for the Results Viewer panel which should have been activated, and click on the Hyperlink to open the summary in a web browser.
   

Creating spatial data

Finding a map

There are many venues for searching for old maps as sources for spatial data and I've listed a few of our favorites, below. Of course, there are many considerations of scale, authority, projections, etc... when using a scanned map as a data source, it is possible to scan and georeference just about any map you can find reference data (another map to georeference to) for.

• earthworks.stanford.edu
• DavidRumsey.com
• OldMapsOnline.com

Finding an already georeferenced map

We'll start by looking at this map [Gegend von London 1853] of London on https://davidrumsey.com. It already has a "Georeferenced version, which can be viewed by clicking on the Georeferencer button at the top of the page.

David Rumsey makes Open Geospatial Consortium (OGC) compliant services available for georeferenced maps on his site. This means that you can use the maps directly in most modern GIS applications, including Arc GIS, QGIS, Arc GIS Online, etc...

Adding a DavidRumsey.com map to QGIS

Here is the Web Map Tile Service WMTS URL for the Gegend map:

https://maps.georeferencer.com/georeferences/435516159934/2019-02-19T17:27:12.514288Z/wmts?key=mpIMvCWIYHCcIzNaqUSo&SERVICE=WMTS&REQUEST=GetCapabilities

This URL provides access to the georeferenced map outside of the DavidRumsey.com website.

1. Select the WMTS URL, above, and copy it to your clipboard using right-click copy, or keyboard shortcuts, if you know them.
2. On the Main Menu Layer>Add Layer>Add WMS/WMTS Layer to open the Data Source Manager
3. Click on the New button to open the Create a New WMS/WMTS Connection dialog:

Setting	Value
Name:	Gegend Map
URL:	https://maps.georeferencer.com/georeferences/435516159934/2019-02-19T17:27:12.514288Z/wmts?key=mpIMvCWIYHCcIzNaqUSo&SERVICE=WMTS&REQUEST=GetCapabilities

4. Click OK to dismiss the dialog and save the connection

5. Click Connect
   

6. In the Tilesets tab, highlight the Gegend map WMTS layer item at the top and click Add & Close to close the dialog and return to the QGIS Map Canvas

7. Right-click on the Gegend von London 1853 layer in the Layer panel and select Zoom to layer

8. Use the Navigation Tools to explore the map service at several different scales and extents.

Georeference a map

Our goal in this workshop is to explore the cholera outbreak of 1854 and determine whether there is evidence that the Broad Street pump is the source of the outbreak. To do this we want to spatially allocate all of the death addresses in our data set to the water pump that they are nearest. Often the data that we need for our analysis doesn't exist in the format that we need it in. In this section we will use John Snow's original map of the 1854 cholera outbreak as a source for the locations of the water pumps in our analysis.

1. On the Main Menu, go to Raster>Georeferencer to open the GDAL Georeferencer

Note: If you don’t see Georeferencer under the Raster menu (or its grayed out). Go to Plugins > Manage and Install Plugins. Find the entry for Georefrencer GDAL and check its box.

2. Click on the Open Raster button and browse to the /data/ folder, select the snow_map.png and click Open

3. You should be prompted to set the Coordinate Reference System of the map you are adding. Since the map we are georeferencing doesn't have one, use the CRS of the Map Document, instead, which is EPSG:32630, which is the CRS we want the map to end up in.

4. Use the Zoom tool to Zoom to the upper-right corner of the John Snow Map, around the SOHO Square

5. Click on the Add Point tool and click on the upper right corner of the outside boundary of SOHO Square, as shown below:
   

6. Click on the From Map Canvas button to switch back to the main QGIS Window

7. Zoom to the same are of your Map Canvas, preferably using your mouse wheel or keyboard shortcuts so you don't deactivate the Add Point tool, but you can always go back to the Georeferencer window and reactivate it

8. Place Ground Control Points in each corner of the map, switching between the two windows using the Add Point tool, as needed. Add a final point somewhere near the center of the map.

9. Click on the Transformation Settings button and examine the settings. The defaults should be fine, as follows:

Setting	Value
Transformation Type:	Polynomial 1
Resample Method:	Nearest Neighbor
Target SRS:	EPSG:32630 - UTM 30N

9. Click on the Start Georeferencing button to start the georeferencing of your image and add it to the Map Canvas.
10. Close the Georeferencer and click OK when prompted to save your GCP points.

Digitize features from a georeferenced map

If the last section didn't go well, add the John_Snow_Map.tif from the /backup_data/

1. On the Main Menu, go to Layer>Create Layer and select the New Shapefile option
2. Use the following settings:

Setting	Value
File name:	Save to /data/ as water_pumps.shp
File encoding:	system
Geometry type:	Point
Additional dimensions:	None
CRS:	EPSG:32630 - UTM 30N

3. Add a New Field, add a text data field called 'Label'
4. Click OK to create the empty shapefile and add it as a layer.

Add points to your shapefile

1. Right-click on the water_pumps layer and select Toggle Editing
2. Click on the Add Point Feature button and add a point for one of the Water Pumps in the John Snow map.
3. Label the point with the street it is on in the Feature Attributes pop-up and click ok to create the feature.
4. Continue digitizing Until you have captured all 12 water pumps in the map.
5. Right-click on the water_pumps layer and selelct Toggle Editing and save your edits when you are prompted.

Labels

1. Click on the water_pumps layer to activate it in the Layer Styling panel
2. Click on the Label tab of the Layer Styling panel
3. Change the Label option to Single labels
4. Set Label with: to the 'label' field.
5. Increase the Text Size to 14
6. Click on Buffer tab and enable the Draw text buffer option.

Basic spatial data analysis

Voronoi (Thiessen) polygon (Spatial Allocation)

Thiessen polygons allocate space in an area of interest to a single feature per polygon. That is, within a Thiessen polygon, all other features are closer to the point that was used to generate that polygon than to any other point in the feature set. In this case, we will create a set of Thiessen polygons based upon the locations of the Water Pumps in our project. This will allow us to easily allocate all of the points in our death addresses dataset to the water pump that they are nearest using a simple spatial join.

1. On the Main Menu go to menu go to Processing > Toolbox

2. Go to the Processing Toolbox Window and change the view from Simplified Interface to Advanced Interface.

3. Search for Voronoi.

4. Double–click the Voronoi polygons tool under Grass commands.

5. On the v.voronoi tool window select Water Pumps as the Input points layer.
   

6. On Grass region, click the 3 dots and select Use layer/canvas extent.

7. On the Select extent window, scroll down to find Study Area.

8. Click OK

9. Click the 3 dots beside the Voronoi diagram option, and select Save to file.

10. Browse to the EX_02_Snow_Map folder and save the shapefile as Voronoi.

11. Click Run
    

12. Open the Attribute Table of the Voronoi layer to explore how each Voronoi Polygon has the name of the pump enclosed.

Spatial Join (Point Aggregation)

Now that you have created the Voronoi polygon layer, you will “allocate” each of the deaths to one of the Voronoi polygons. To do this, we will use the Join Attributes by Location tool. Conceptually, what we will be doing is like passing our points through the polygons so that the polygon's attributes "stick" to the points.

1. On the pull-down menu go to menu go to Vector > Data Management Tools > Join attributes by location

2. Select Death Addresses as the Input vector layer and Water_Pump_Voronoi as the Join vector layer.

3. Click Browse to save the Output GeoJSON as Deaths_Allocated in your Data Folder.

4. Click OK

5. Click Yes to add the new layer to the TOC (Table of Contents) and Close the Join the attributes by location window.

6. The resulting layer is added to the Map Canvas. Open its attribute table to confirm that the attributes of the Water Pumps have been transferred:
   

Summary Statistics

Finally, we would like to summarize the deaths in the outbreak, grouping our summary by the name of the Water Pump that each Death Address is nearest. We will do this using the Group Stats Tool which allows us to do a statistical summary similar to the one we did earlier on the entire data set, but this time grouped by nearest water pump.

1. On the pull-down menu go to Plugins> Manage and install plugins.

2. On the Plugins window search, type Group Stats and select it.

3. Click on Install plugin.

4. Close the Plugin Window.
   

After the installation a GroupStats Tool appears on the Vector Toolbar.

1. Click the Group Stats tool

2. Select Deaths_Allocated as Layer.
   

Drag from Fields to Column: average, count and sum.

On Rows, drag Name (originally from the Water_Pump data layer), and

on Value drag Num_Cases.

1. Click on Calculate to visualize the summary table.

2. Click the Sum field header on the resulting table to Sort descending on the SUM_Num_Cases field.

Note that the Broadwick Pump has the highest value for two of three significant attributes: Count (No. of households), Sum (Total Deaths), and Average (Mean Deaths per Household).

1. On the Group Stats Window, go the Data> Save all to CSV file. Save the Ouput Table to your Data Folder and name it Deaths_Summary_by_Pumps.

2. Close the Group Stats Window

Basic Measures of Spatial Central Tendency

Spatial Mean (Mean Center)

The Mean Center is the average x- and y-coordinate of all the features in the study area. It's useful for tracking changes in the distribution or for comparing the distributions of different types of features. Here, we will use the Mean Center to highlight the distribution of deaths around the Broad Street Pump.

First, we will calculate a simple spatial mean. This is simply the mean center of the distribution of locations

1. On the pull-down menu go to menu go to Vector > Analysis > Mean coordinate(s)
   

2. Select Deaths_Allocated as the Input vector layer.

3. Leave the Weight field and Unique ID field as Optional.

4. Click Browse to save the Output Shapefile as: Deaths_Spatial_Mean to the Data Folder**.**

5. Click OK to calculate the Mean Center and Close.

6. Change the Symbology for the Deaths_Spatial_Mean layer to something that contrasts with the other symbologies.

Weighted Spatial Mean

1. Run the Mean Center tool again, this time assigning the Num_Cases field as the Weight Field.
2. Save the Output Shapefile to the Data folder and name it Deaths_Weighted_Spatial_Mean.
3. Apply a symbology to the Deaths_Weighted_Spatial_Mean layer.

Bonus:

Set the "Unique ID" option to the "label" field and observe the results. This has the effect of "casing" the spatial mean, based upon the spatial allocation that we did earlier.

Standard Distance

The Standrad Distance is the spatial statistics equivalent of the standard deviation. It describes the radius around the spatial mean (or weighted spatial mean), which contains 68% of locations in your dataset. It can be very useful for working with GPS data.

On the pull-down menu go to menu go to Processing > Toolbox to open the Processing Toolbox Window.

On the Processing Toolbox Window type to search: Spatial point pattern analysis and double click to open the tool window.

1. Select Death Addresses as the Point layer.

2. Click the 3 dots and Select Save to a file.

3. Give an appropriate name and Save the 3 Output Files on your Data folder.

Click Run to calculate the Standard Distance, Mean Centre and Bounding Box.

The red dot is the mean center (no weight field; the large circle is the standard distance, which gives an indication of how closely the points are distributed around the mean center; and the rectangle is the bounding box, describing the smallest possible rectangle which will still enclose all the points.

Creating a surface from Point Data to Highlight “Hotspots”

Kernel Density

The Kernel Density Tool calculates a magnitude per unit area from the point features using a kernel function to fit a smoothly tapered surface to each point. The result is a raster dataset which can reveal “hotspots” in the array of point data.

1. Go to the Processing Toolbox Window and type to search Kernel Density Estimation (SAGA) and double click to open the tool window.
2. Select the Deaths_Allocated layer as the Points features.
3. Select Num_Cases as the Weight Field.
4. Set the Radius option to 50 (this is in meters).
5. On the Output Extent option, click the 3 dots and select Use layer/canvas extent.
6. On the resulting window search for Study Area and Click OK.

Set the Cellsize to 10 (this is also in meters)

1. On the Kernel Option click the 3 dots and select Save to File.

2. Save the Output Raster to the Data Folder as Kernel_Density.

3. Click Run to run the Kernel Density tool.

4. Right Click the Kernel_Density layer and open its properties.

Go to the Style Tab and select

1. Render Type: Singleband gray

   1. Color Gradient: White to black

   2. Contrast enhancement: Stretch to MinMax.

   3. Load min/max values: Select min/max and click load.

   4. Hue: Check Colorize and select a color of your choice

   5. Resampling: Zoomed in Bilinear.

   6. Click OK

Creating a Basic Map Layout (in process)

Toggle off uneeded layers & Arrange layers in order of visibility

Change Project CRS to Basemap CRS

Make Symbology & Label adjustments

Rename Layers

Switch to Layout Mode

Add Map

Add Legend

Add Scale

Add Neatline

Add Text

Print to PNG