Diana Lavery

(she/her/hers) Diana loves working with data. She has 15 years 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 GIS 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
Simple ways to break up text in ArcGIS StoryMaps

Love making StoryMaps but hate looking for stock photos? There are other simple ways to break up large sections of text.

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County-level unemployment layer updated monthly now in ArcGIS Living Atlas

Need a ready-to-use feature layer that contains Bureau of Labor Statistics' county-level unemployment data that updates monthly? Look no further.

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Industry-specific American Community Survey (ACS) layers now in ArcGIS Living Atlas

New layers powered by the American Community Survey (ACS) for child well-being, senior well-being, and emergency response are in Living Atlas.

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Transform your layers’ value with more functional attribute field names, aliases, and descriptions

Help yourself and others when publishing a layer in ArcGIS Online by giving your attributes consistent field names and descriptive aliases.

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Make several nuanced policy maps from one ArcGIS Living Atlas layer

Each of the American Community Survey layers in ArcGIS Living Atlas can show multiple aspects of a subject.

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ArcGIS Living Atlas of the World Items from Federal Agencies in 2019

2019 was a great year for ArcGIS Living Atlas of the World. Many federal agencies shared their layers and resources with GIS analysts worldwide.

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Updates Coming to American Community Survey Living Atlas Layers (Fall 2019)

In December 2019, the American Community Survey layers in ArcGIS Living Atlas will be updated with the newest 2014-2018 data from the Census.

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Embed your web map into your organization’s website

Configure your web map to appear the way you want on any website.

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Pivot rows of long tabular data to columns for joining to features

Reshape long data to wide data by using my newest favorite geoprocessing tool: Pivot Table.

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