Geospatial
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Deconstructing Analysis-Ready Data
The 4th Analysis Ready Data (ARD) Workshop was held virtually in October 2021. Consisting of ten minute lightning talks packed into 1 hour sessions, participants from government and industry presented developments in “Analysis Ready Data”. Each day followed a specific theme such as calibration and validation, standards, time series, optical, SAR, and vegetation. The problem?…
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Deconstructing Analysis-Ready Data
The 4th Analysis Ready Data (ARD) Workshop was held virtually in October 2021. Consisting of ten minute lightning talks packed into 1 hour sessions, participants from government and industry presented developments in “Analysis Ready Data”. Each day followed a specific theme such as calibration and validation, standards, time series, optical, SAR, and vegetation. The problem?…
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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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Maintaining Data on the Curb with CurbLR: A New Open Standard
CurbLR is a promising new open data specification for curb regulation. We used it to visualize and analyze Philadelphia’s curb management approaches affect on traffic.
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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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Calculating Rural Road Access Globally Using Open Datasets
We used three open datasets to calculate the number of people in the world who do not have sufficient access to a road in an effort to move forward the conversation on the Rural Access Indicator (RAI).
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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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Blacksburg, VA Finds Their “TurboTax™ for Climate Vulnerability Assessments” in Temperate
This case study showcases how Temperate is uniquely poised to walk cities through the confusing process of conducting a climate vulnerability assessment.
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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.
