Jim Herries

Jim Herries is a geographer with Esri in Redlands, California. He serves as a principal product engineer on the team responsible for ArcGIS Living Atlas of the World. Jim is particularly engaged in thematic mapping and map visualizations, reflecting a drive to help GIS users bring their data to life on the map and stimulate insights. He constantly looks for ways to create clear, focused map information products that incorporate meaningful spatial analysis and evocative visualizations.

Posts by this author
Updates coming to American Community Survey layers in ArcGIS Living Atlas (Spring 2022)

The American Community Survey (ACS) layers in ArcGIS Living Atlas will be updated in March 2022 with the newest 2016-2020 data from the Census.

Continue Reading

Get (Re)Acquainted with Smart Mapping in Map Viewer

New ArcGIS StoryMaps collection on smart mapping

Continue Reading

A Straightforward Approach to Mapping Margins of Error

This blog digs into a simple approach to mapping numeric data along with their related error in a way that calls out significant error rates.

Continue Reading

Size maps get turbocharged in Map Viewer

Above-and-below styling, binary color schemes, rapid presets, and other enhancements have come to proportional symbol maps

Continue Reading

Explore before you map

Learn some easy tips for the start of your cartographic journey. Start each map with a few minutes of exploration to learn more about your data.

Continue Reading

Blend Modes for Thematic Maps

This blog focuses on blend modes that improve your thematic maps, especially for maps of polygon layers.

Continue Reading

Improve Your COVID-19 Cases Map

Does your map show the growth in cases, as well as the flattening? A tutorial shares how to make improvements that require less maintenance.

Continue Reading

Coronavirus COVID-19 Data Available by County from Johns Hopkins University

Johns Hopkins University is now providing data in a map layer by county for COVID-19 cases and deaths.

Continue Reading

Clustering now available in Map Viewer

Uncover hidden patterns in your data with clustering in Map Viewer.

Continue Reading

1 2