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Add population estimate data

In the previous lesson, you downloaded global boundary data and extracted features for the Democratic Republic of the Congo. Now you'll add population data from the ArcGIS Living Atlas of the World. The Living Atlas contains authoritative content curated by Esri and content submitted by users approved by Esri to meet quality data standards. Part of Esri's content is a global population estimate layer that is created through a complex algorithm that considers available local population data such as a national census in addition to remotely sensed data. To learn more about how Esri calculates global population, read the published research paper Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement.

Add population estimate layers

In this section, you'll add two layers from the Living Atlas that contain information on global population estimates and data sources for how those estimates were calculated. It is important to note that the population estimate layers have varying degrees of accuracy across the globe and should not be presumed to be an accurate population distribution. The Living Atlas contains additional accuracy indicator layers to assist with such assessments. It is also important to note that the estimates are only as good as the input data allows. The end of the lesson will cover how to add the population estimate data source layer.

Note:

The Living Atlas also contains country feature services that inherently contain population estimates, but this number does not include all countries. Over 130 countries have population estimates provided by Michael Bauer Research GmbH (MBR). This workflow provides an alternative for other countries.

  1. If necessary, open your MalariaEpidemics project in ArcGIS Pro.
  2. On the Map tab, in the Layer group, click Add Data.
    Note:

    For Enterprise users: On the Map tab, in the Layer group, click Add Data and choose Add Data From Path. Paste the following URL:

    https://landscape7.arcgis.com/arcgis/rest/services/World_Population_Estimate_2016/ImageServer
  3. In the Add Data window, ensure that you are searching within the Living Atlas.
  4. Search for World Population Estimate 2016.
  5. Select the World Population Estimate 2016 feature layer and click OK to add it to the map.

    The layer is quite large and may take some time to load.

  6. If necessary, move the World Population Estimate 2016 layer above the DRC_Country and DRC_Admin layers to ensure the layer is visible.

    The population estimate layer is a raster surface showing an approximate spatial distribution of the population. This was achieved with dasymetric mapping that redistributed local census counts into areas coded as settlements based on their likelihood to be where people lived. You'll now add the sources layer that shows which information was used in the population estimate.

  7. Search the Living Atlas to add the World Population Estimate 2016 Sources feature layer.
    Note:

    For Enterprise users: On the Map tab, in the Layer group, click Add Data and choose Add Data From Path. Paste the following URL:

    https://services1.arcgis.com/pf6KDbd8NVL1IUHa/arcgis/rest/services/World_Population_Estimate_Sources/FeatureServer

    The World Population Estimate 2016 Sources feature layer is added with a long name. You'll rename the layer to make it easier to read.

  8. In the Content pane, click the PopDetail16WMAS_Alpha2_Generalized_FINAL (for Enterprise: World_Population_Estimate_Sources) layer once to select it, and again to edit the layer name.
  9. Rename the layer Sources.
  10. Move the Sources layer to the top of the Contents pane.

    The Sources layer contains metadata for the World Population Estimate 2016 layer. While the layer is turned on, you can click anywhere on the map and read the pop-up to learn more about the data.

  11. In the Navigate pane, click Explore.
  12. In the Map pane, click anywhere within the Democratic Republic of the Congo to view the Sources pop-up.

    Democratic Republic of the Congo population estimate source information

    Note:

    Your pop-up may be configured slightly differently, but the information is the same.

  13. When you are done reading, close the pop-up and turn off the Sources layer.
  14. Press Ctrl+S to save your project.

Calculate population estimates

You'll calculate the population estimates within your boundary files using the Zonal Statistics as Table tool. This tool is extremely useful for performing spatial statistical analysis and delivering a tabular output. In this case, a tabular output is preferred over a spatial output because it is easier to append to the Congo DRC features. You'll run the tool to calculate the sum of the estimated population within the country and administrative geographic areas in a table that will later be joined to the respective feature class.

First, you'll calculate the population for the country layer.

Note:

Ensure you have enabled the Spatial Analyst extension for ArcGIS Pro. To enable the extension click the Project tab, then select Licensing to review your settings.

  1. In the Geoprocessing pane, search for and choose the Zonal Statistics as Table (Spatial Analyst Tools) tool.
  2. Double-click the tool to open it and set the parameters.
  3. For Input raster or feature zone data, choose DRC_Country.
  4. Ensure Zone field is set to COUNTRY.
  5. For Input value raster, choose World Population Estimate 2016.
  6. For Output table, type CountryPop.
  7. For Statistics type, choose Sum.

    Zonal Statistics as Table tool calculating population estimate for the Democratic Republic of the Congo

  8. Click Run.

    The Zonal Statistics tools are a very easy and powerful way to summarize raster information into polygons, such as administrative boundaries, or tables.

    When the tool has finished running, the CountryPop table will be added to the Contents pane under Standalone Tables.

  9. In the Contents pane, right-click CountryPop and choose Open to open the attribute table.

    In the attribute table, you can see the SUM field that lists 79,549,483 as the population estimate for the entire country. Now you'll calculate the population estimate for each administrative region.

  10. Close the CountryPop attribute table.
  11. Open the Zonal Statistics as Table tool.
    • For Input raster or feature zone set, choose DRC_Admin.
    • For Zone field, ensure NAME is selected.
    • For Input value raster, choose World Population Estimate 2016.
    • For Output table, type AdminPop.
    • For Statistics type, choose Sum.
  12. Click Run.

    When the tool finishes running, the AdminPop table will be added to the Contents pane under Standalone Tables. Now that you have calculated population estimates, you no longer need the World Population Estimates 2016 layer.

    Population estimate tables from the Zonal Statistics as Table tool

  13. Remove the World Population Estimates 2016 layer.
  14. Save your project.

Join population estimate tables to boundary feature class

Next, you'll add the population data to the country boundary files using the Join Field tool. Usually after a join is performed it lasts only for the session, but by using the Join Field tool the join becomes permanent and only includes selected attributes.

  1. In the Geoprocessing pane, search for and choose Join Field (Data Management Tools).
  2. For Input Table, choose DRC_Country.
  3. For Input Join Field, choose COUNTRY.
  4. For Join Table, choose CountryPop.
  5. For Output Join Field, choose COUNTRY.
  6. For Join Fields, choose SUM.

    Join Field tool appending the SUM attribute to the DRC_Country feature class

  7. Click Run.
  8. In the Contents pane, select DRC_Country and press Ctrl+T to open the attribute table and ensure the SUM attribute was successfully appended.

    You have successfully joined the population estimate data to the DRC_Country feature class. Now you'll do the same for the DRC_Admins feature class.

  9. Open the Join Field tool.
    • For Input Table, choose DRC_Admin.
    • For Input Join Field, choose NAME.
    • For Join Table, choose AdminPop.
    • For Output Join, choose NAME.
    • For Join Fields, choose SUM.
  10. Click Run.
  11. Open the DRC_Admins attribute table to ensure the SUM attribute was successfully appended.

    Now that you have added population estimates from the calculated tables to your feature classes, you no longer need the tables.

  12. Remove the CountryPop and AdminPop tables.
  13. Save your project.

In this lesson, you added global population estimate data from the Living Atlas and extracted information for the DRC. In the next lesson, you'll clean and format malaria incidence data before importing it intoArcGIS Pro.