This community hub contains a collection of CyberGIS-Jupyter notebooks and blog posts dedicated to analysis and modeling using OpenStreetMap (OSM) data. These resources cover the basics of using a variety of data (road networks, Points Of Interest, etc.) from OpenStreetMap for use-cases including spatial accessibility, agent-based modeling, geo-statistics, and more!
Posted by Alexander Michels on Friday March 15, 2024
We present a Spatial Partitioning Algorithm for Scalable Travel-time Computation (SPASTC) Calculating travel-time catchments over large spatial extents is computationally intensive, with previous ...
Posted by Alexander Michels on Friday October 13, 2023
Notebook for the 2023 HDR Conference designed to introduce Jupyter and ...
Posted by Alexander Michels on Wednesday July 19, 2023
This is a simple notebook walking through the usage of osmosis and OSMFilter for working with OpenStreetMap data We also employ OSMNX for loading and ...
Posted by Alexander Michels on Monday January 30, 2023
This Notebook is meant to be a brief guide on working with Open Street Map (OSM) network data, primarily using the OSMnx Python package It walks through obtaining network data from OSMnx, exploring ...
Posted by Alexander Michels on Tuesday July 19, 2022
This notebook briefly walks through calculating spatial accessibility to hospital ventilators in across the state of Illinois using CyberGIS-Compute It calculates travel-time catchments using ...