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. Introduction The purpose of this tutorial is to introduce spatial analysis and basic geoprocessing in R. In 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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Mapping Philly’s proposed marijuana dispensary zoning restrictions

In April of 2016, the State of Pennsylvania voted to legalize medical marijuana. Currently, Philadelphia City Council members are debating how to use…

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Urban heat islands & street trees in Philadelphia

Source: NASA, Earth Observatory This past August, 2016 was the hottest in 136 years according to NASA. In cities, this…

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AISP Innovation

Urban Spatial is excited to partner with the Actionable Intelligence for Social Policy at the University of Pennsylvania to develop technology that lowers the…

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