Spatial Analysis
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Top 5 Data Visualization Practices: A Case for Effectively Communicating Information About US Wildfire Risk
Data visualization is key to making data useful. We look at the example of the USDA Forest Service Wildfire Risk dashboard to highlight best practices for nonprofit and government leaders when designing compelling data visualizations.
How Can OpenStreetMap be Used to Track UN Sustainable Development Goals?
We learned that OpenStreetMap is a great source of data for tracking SDG indicator 11.7.1. OSM provides data on public open or green spaces in cities that is similar in quality to more “official” sources like municipal Open Data portals, and collecting the data from OSM requires relatively little effort.
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Using GIS to Guide Philadelphia’s First Neighborhood-Level Forestry Plan
The adoption of Philadelphia’s Urban Forest Strategic Plan and Hunting Park’s Forestry Plan presents a unique opportunity to address the need for equitable tree planting and the reduction of heat vulnerability, as these two plans are the city’s first cohesive attempts to prioritize and manage its urban forest.
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Which Congressional Districts are Over and Under Populated
We calculated which congressional districts have become over or underpopulated since they were last drawn.
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How We Built a National Hospital Dataset for Coronavirus Relief
We pulled data from disparate hospital data sources to create a comprehensive national dataset of the hospital system for the COVID-19 response, using geocoding, proximity matching, and fuzzy string matching.
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MUB Monitor: Helping Water Utilities Track and Respond to Upstream Threats
In partnership with Downstream Strategies, we created MUB Monitor – a comprehensive GIS-based tool that helps water professionals track spills, assess watershed threats, and make informed decisions.
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Analyzing Spatial Patterns in Life Expectancy with Python
All around the country boundaries separate neighborhoods with high and low life expectancy. We used python to find the most extreme examples.
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Scoring Philadelphia’s City Council Districts for Children’s Health and Well-being
Scoring Philadelphia City Council districts on assets and risks using a weighted spatial analysis model in R and Python.
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Enhancing GIS Capacity with OpenStreetMap
We’re working with the Inter-American Development Bank to improve the GIS capacity of Guyana with tools built to extract OpenStreetMap data.
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Using ArcMap, R, and Adobe Illustrator to Create Data Driven Infographics
Learn to create a series of data-driven infographics in the context of a project that evaluates bus performance in each Philadelphia City Council District.
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