Tag Basketball

Shotcharts Revisited - From NBA Stats to Feature Service in Less Than 20 Lines of Code

About two years ago, I wrote about creating shotcharts in ArcGIS using Python and arcpy. With recent enhancements to the ArcGIS API for Python, I can do this all in Python and I can to this in less than 20 lines of code! (A guest post by Gregory Brunner)

OKSCAUG, Thunder Up!

For OKSCAUG I was asked to give a short 10-15 minute overview during the morning and a longer technical session in the afternoon. Below, I have linked to the presentations. (A guest post by Gregory Brunner)

Mapping NBA Player Movement in 2D and 3D

For this post, I’m going to describe some approaches to visualize an entire game of movement data with common GIS techniques and tools and use some really cool GIS visualization techniques to display the data and compare player movement maps. (A guest post by Gregory Brunner)

The Geography of Basketball, Part II: Watching the Game in ArcGIS

I wasn’t planning on writing another blog on this topic so soon, but a few days ago I was looking into how to turn the “gameid” field in the NBA data into the actual game date, teams involved, etc., and I stumbled upon this. (A guest post by Gregory Brunner)

The Geography of Basketball: Mapping NBA Shotcharts in ArcGIS

Here, I want to show how you can use Python to push this data into a Geographic Information System, ArcGIS. From there, you can leverage concepts, tools, and applications that are generally reserved for geography and geographers to make some great visuals from NBA player shot chart data. (A guest post by Gregory Brunner)