Creating a raster agent-based modelling environment from volunteered geographic information
Creators
- 1. The Bartlett Centre for Advanced Spatial Analysis, University College London
Description
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
GISRUK2021_paper_44.pdf
Files
(1.5 MB)
Name | Size | Download all |
---|---|---|
md5:b6f9094ee0b3d923d69a120ef32755d6
|
1.5 MB | Preview Download |