Does your city have equitable park access?

Check out this analysis on GitHub. This exercise was inspired by Dr. Eugenia South and Diana Regas’ April, 2021 editorial…

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Geospatial Machine Learning Workshop

I recently completed a workshop both in code form on Github and recorded on YouTube for the University Consortium for…

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Visualizing COVID mobility using GPS data

Founder, Ken Steif, recently worked with one of his students, Andrew Renninger, to analyze data from SafeGraph, a provider of…

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Teaching the machines about gentrification & equity

Recently, I was invited down to Nashville by the Vanderbilt Initiative for Smart Cities Operations & Research (VISOR) team to…

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Wrangling & mapping Philly open data in R

Replication of data science workflows is as critical in government as it is in any domain. Much of Philadelphia’s vast…

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Introduction to spatial site-suitability analysis in R

1.┬áIntroduction The purpose of this tutorial is to introduce spatial analysis and basic geoprocessing in R.┬áIn this tutorial, readers will…

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Riding (and clustering) the gentrification wave

By Ken Steif & Michael Fichman This post discusses some of our recent experiments with spatial real estate data. These…

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Machine learning can predict ‘highest & best use’

Recently, Philadelphia City Councilman and real estate developer, Alan Domb proposed that the City “should figure out the highest and…

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Evaluating place-based investments in the cloud

Effica.cy is a proposed cloud-based GIS tool that would allow organizations to perform complex cost/benefit evaluations right in an internet…

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#Dataviz tutorial: Mapping San Francisco home prices using R

Authors: Ken Steif & Simon Kassel I constantly preach to my students that no matter how policy relevant your work…

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