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Hello. The package has already provided an excellent presentation of the graph structure of a landscape, mostly for visualization and component/disconnection identification. Is it possible to take one step further, by providing a toolkit to analyze more landscape connectivity indexes? Like dPC, IIC, IF and more?
The text was updated successfully, but these errors were encountered:
Thank you for the feedback @CWen001 - we will add some of the indexes you mention to the list of metrics included in the package in the next release. In the meantime, you can implement whatever metric you like yourself using the geograph.metrics.Metric class, for example:
fromgeograph.metricsimportMetric# pass GeoGraph object to custom function to calculate IICdefiic_metric(geo_graph: geograph.GeoGraph) ->Metric:
...
# calculate IIC here from geo_graph
...
returnMetric(
value=iic_value,
name="IIC",
description="Integral index of connectivity.",
)
geo_graph.metrics["IIC"] =iic_metric(geo_graph)
Hello. The package has already provided an excellent presentation of the graph structure of a landscape, mostly for visualization and component/disconnection identification. Is it possible to take one step further, by providing a toolkit to analyze more landscape connectivity indexes? Like dPC, IIC, IF and more?
The text was updated successfully, but these errors were encountered: