Choropleth maps visualize data aggregated by location.
To create a choropleth map that visualizes a value, you need a geographic feature collection that provides geographic boundaries at the same level of granularity as your data. For example, if you want to map the US population by state, you can use a Splunk search to create a statistics table with a row for the population of each state and use the
geo_us_states lookup to render the geometry of states on the map. To map the population by county, you would need to create a more granular table with a row for every US county and a new geospatial lookup that provides boundaries of all US counties. To learn more about geospatial lookups, see Define a geospatial lookup in Splunk Web in the Knowledge Manager Manual.
In this tutorial, you will learn how to do the following:
- Locate and upload a public data file from the United States Drought Monitor and a geospatial boundary file at the appropriate level of granularity into your Splunk platform instance.
- Use the lookup file to create a new geospatial lookup in addition to the
geo_countrieslookups that are included with Splunk software.
- Generate a choropleth map that demonstrates the severity of drought conditions by California county in 2018.
Make sure that you have a running Splunk platform instance. See the following links for information:
Locate and download USDM data
This documentation applies to the following versions of Splunk® Enterprise: 7.0.0, 7.0.1, 7.0.2, 7.0.3, 7.0.4, 7.0.5, 7.0.6, 7.0.7, 7.0.8, 7.0.9, 7.0.10, 7.0.11, 7.0.13, 7.1.0, 7.1.1, 7.1.2, 7.1.3, 7.1.4, 7.1.5, 7.1.6, 7.1.7, 7.1.8, 7.1.9, 7.1.10, 7.2.0, 7.2.1, 7.2.2, 7.2.3, 7.2.4, 7.2.5, 7.2.6, 7.2.7, 7.2.8, 7.2.9, 7.2.10, 7.3.0, 7.3.1, 7.3.2, 7.3.3, 7.3.4, 7.3.5, 7.3.6, 7.3.8, 7.3.9, 8.0.0, 8.0.1, 8.0.2, 8.0.3, 8.0.4, 8.0.5, 8.0.6, 8.0.7, 8.0.8, 8.1.0, 8.1.1, 7.3.7, 8.1.2, 8.1.3