Welcome to the GeoGraph documentation!
The Python package GeoGraph is built around the idea of geospatially referenced graph - a GeoGraph. Given either raster or polygon data as input, a GeoGraph is constructed by assigning each separate patch a graph node. In a second step, edges are added between nodes whenever the patches corresponding to two nodes are within a user-specificed distance. Based on this basic idea, the GeoGraph package provides a wide range of visualisation and analysis tools.
- Landscape Ecology
- Standard Analysis
Building on the graph-based data structure, the GeoGraph package is able to compute most of the standard metrics used in landscape ecology. Combined with an interactive user interface, it provides a powerful Python tool for fragmentation and connectivity analysis.
- Policy Advice
Using the tools provided for landscape ecology, the GeoGraph package can be used to give two key insights for policy decisions:
- Recommend conservation areas
- Flag areas at potential risk of fragmentation
- Temporal Analysis
The graph-based nature of the GeoGraph package allows us to track individual patches over time, and use this information for detailed temporal analysis of habitats.
- Polygon Data Visualisation
Whilst our primary use-cases are in landscape ecology, this package can be used to investigate any kind of polygon data files, including
.shpshape files. TheGeoGraphViewerallows for the data can be interactively viewed.
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