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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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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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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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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