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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NetLogo – Simulating classroom evacuation

I started playing with NetLogo years back as a possible avenue for modeling housing markets. Ultimately, I decided that agent-based modeling, while…

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A predictive site suitability approach to land conservation

Suitability modeling is one of the most important GIS skill sets for a spatial analyst to master. Traditionally, site suitability is…

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Origins & Destinations: Visualizing bike share trips

Click for higher resolution Ever since Mike Batty and team at UCL’s Centre for Advanced Spatial Analysis showcased their project using…

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Predicting restaurant inspection failures

This year I ramped up the amount of machine learning I covered in my fall class at Penn. For the final…

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