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College Football Stadium Attendance

A few months ago, I wrote about the large investments that U.S. universities are making in their football stadiums. This also included a visual analysis of stadium capacity around the country. Outside...

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R-tree Spatial Indexing with Python

Check out the journal article about OSMnx, which implements this technique. A spatial index such as R-tree can drastically speed up GIS operations like intersections and joins. Spatial indices are key...

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OSMnx: Python for Street Networks

Check out the journal article about OSMnx. OSMnx is a Python package for downloading administrative boundary shapes and street networks from OpenStreetMap. It allows you to easily construct, project,...

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Square-Mile Street Network Visualization

Check out the journal article about OSMnx. The heart of Allan Jacobs’ classic book on street-level urban form and design, Great Streets, features dozens of hand-drawn figure-ground diagrams in the...

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Getting Started with Python

This is a guide for absolute beginners to get started using Python. Since releasing OSMnx a few weeks ago, I’ve received a lot of comments from people who would love to try it out, but don’t know where...

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Urban Form Figure-Ground Diagrams

Check out the journal article about OSMnx. I previously demonstrated how to create figure-ground square-mile visualizations of urban street networks with OSMnx to consistently compare city patterns,...

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Urban Form Analysis with OpenStreetMap Data

Check out the journal article about OSMnx. This is a summary of some of my recent research on making OpenStreetMap data analysis easy for urban planners. It was also published on the ACSP blog....

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OSMnx and Street Network Elevation Data

Check out the journal article about OSMnx. OSMnx can now download street network elevation data for anywhere in the world. In one line of code it downloads the elevation in meters of each network node,...

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Craft Beer, Urban Planning, and Gentrification

I co-authored a chapter in the new book Untapped: Exploring the Cultural Dimensions of Craft Beer with the estimable Jesus Barajas and Julie Wartell. Our chapter is titled “Neighborhood Change, One...

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Isochrone Maps with OSMnx + Python

Check out the journal article about OSMnx. How far can you travel on foot in 15 minutes? Urban planners use isochrone maps to show spatial horizons (i.e., isolines) that are equal in time. Isochrones...

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Describing Cities with Computer Vision

What does artificial intelligence see when it looks at your city? I recently created a Twitter bot in Python called CityDescriber that takes popular photos of cities from Reddit and describes them...

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New Article: OSMnx in CEUS

My article “OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks” was published in the journal Computers, Environment and Urban Systems earlier this month....

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New Article: Craigslist Housing Markets in JPER

Our article “New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings” is finally appearing in print in the Journal of Planning Education...

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Estimating Daytime Population Density

I was recently asked: “how might someone figure out the local daytime population density across the Bay Area from public data?” My answer, in short, was that you really couldn’t accurately. But you...

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Urban Street Network Centrality

Check out the journal article about OSMnx. We can measure and visualize how “important” a node or an edge is in a network by calculating its centrality. Lots of flavors of centrality exist in network...

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Street Network Orientation

OSMnx is a Python package for easily downloading and analyzing street networks anywhere in the world. Among other analyses, we can use it to explore street network orientation. That is, what are the...

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OSMnx Features Round-Up

Here’s a quick round-up of recent updates to OSMnx. I’ll try to keep this up to date as a single reference source. A lot of new features have appeared in the past few months, and people have been...

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Network-Based Spatial Clustering

Jobs, establishments, and other amenities tend to agglomerate and cluster in cities. To identify these agglomerations and explore their causes and effects, we often use spatial clustering algorithms....

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Estimating Daytime Density in RSRS

My short article “Estimating Local Daytime Population Density from Census and Payroll Data” is out now in the latest issue of Regional Studies, Regional Science. I discuss a method for estimating local...

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Comparing City Street Orientations

We say the cows laid out Boston. Well, there are worse surveyors. –Ralph Waldo Emerson, 1860 In 1960, one hundred years after Emerson’s quote, Kevin Lynch published The Image of the City, his treatise...

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