geo_qt

The repository consists of a toolkit for creating geo-data inspired artworks to accompany the AHRC funded Digital Realism project.

The geo_qt package is a collection of mapping tools for rendering large scale images and animations. It has been designed as a lightweight framework that can easily be extended to create interactive rendering tools. The GUI and the map interface are based on the Python PySide library.

Typically a map would be generated by specifying the map layers and data sources in a config file, overriding the map layer class rendering, and extending the GUI controls to interactively style the map.

License

Licensed under GPLv3.

Setup

The project was developed using Enthought Canopy under Python 2.7.6.
Dependencies were installed via the Canopy package manager:

future==0.14.3
numpy==1.8.1
PIL=1.5.6
pyproj==1.9.3
PySide==1.2.2
Qt==4.8.5

Optional
ModestMaps==1.4.1
basemap==1.0.7

Authors

Gavin Baily developed the geo_qt package
Stefano De Sabbata developed the WMF Lab tool for capturing geo-coded Wikipedia article metadata

Project team

Principal Investigator: Tom Corby, CREAM, University of Westminster
Researcher: Gavin Baily, CREAM, University of Westminster and Tracemedia
Researcher: Stefano De Sabbata, Oxford Internet Institute, University of Oxford