Conference paper Open Access

Creating a raster agent-based modelling environment from volunteered geographic information

Gumble, Hannah

This work attempts to lay the groundwork for future applied fine-grained modelling that uses geospatial data. A methodology is presented using OpenStreetMap (OSM) data to devise a raster-based agent- based model environment. The resolution of raster-based environment size on model initiation is discussed along with OSM‘s limitations in this context. In processing, clear data gaps impacted the methodology, especially missing classifications of attributes and lack of information on street furniture. A clear relationship between environment granularity and model initiation times was documented. Further research should seek to understand environment granularity and the impact on simulation times.

Files (1.5 MB)
Name Size
1.5 MB Download
All versions This version
Views 103103
Downloads 8080
Data volume 122.3 MB122.3 MB
Unique views 9797
Unique downloads 7676


Cite as