Diana Lavery

(she/her/hers) Diana loves working with data. She has over a decade of experience as a practitioner of demography, sociology, economics, policy analysis, and GIS. Diana holds a BA in quantitative economics and an MA in applied demography. She is a senior product engineer on ArcGIS Living Atlas of the World's Policy Maps team. Diana enjoys strong coffee and clean datasets, usually simultaneously.

Posts by this author
Call for Stories of GIS in Qualitative Social Science Research

Are you using GIS to answer qualitative social science questions? If so, we'd love to hear about your work!

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A tour of a feature layer’s Data tab in ArcGIS Online

View histograms, frequency tables, metadata, and more. Explore, edit, and manage tabular data in a feature layer's Data tab.

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Can your map’s title be a question?

Most likely, you made a map in order to answer a specific question. Break all the rules and use that question to title your map.

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Use the newly-updated CDC PLACES items in Living Atlas to improve health in your community

The Centers for Disease Control and Prevention (CDC)'s PLACES layer, maps, and apps in Living Atlas are now updated.

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Gender identity and sexual orientation data is now in Living Atlas

Gender identity and sexual orientation data for states and 15 largest metropolitan areas is now in ArcGIS Living Atlas.

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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.

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A SAS to Table conversion tool success story

Use the SAS to Table conversion tool to bring your SAS tables directly into Pro. No need to export and read in a CSV.

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How 8 Million+ Census 2020 Features were Hosted to ArcGIS Living Atlas

Learn how the Living Atlas team created items from U.S. Census Bureau's Redistricting data, and how you can also publish large datasets.

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Unclassed symbology is best for ranges, or data with uncertainty to it

Mapping data values with some uncertainty to them? Unclassed symbology honors this better than classed symbology.

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