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Please consider adding support for i.variance https://grass.osgeo.org/grass-stable/manuals/addons/i.variance.html described well here. We're not aware of another implementation of this in R, and currently we're using GRASS only to implement this for analysis in a few projects.
As Woodcock and Strahler (1980) write: "The reasoning behind this measure is as follows.
If the spatial resolution is considerably finer than the objects in the scene, most of the measurements in the image will be highly correlated with their neighbours and a measure of local variance will be low.
If the objects approximate the size of the resolution cells, then the likelihood of neighbours being similar decreases and the local variance rises.
As the size of the resolution cells increase and many objects are found in a single resolution cell, the local variance decreases."
We think that this i.variance metric (and specifically the variance/resolution plots) might be more nuanced and informative than the (semi)variograms that are often used to characterise and understand spatial structure in the biophysical environment
The text was updated successfully, but these errors were encountered:
Please consider adding support for i.variance https://grass.osgeo.org/grass-stable/manuals/addons/i.variance.html described well here. We're not aware of another implementation of this in R, and currently we're using GRASS only to implement this for analysis in a few projects.
As Woodcock and Strahler (1980) write: "The reasoning behind this measure is as follows.
We think that this i.variance metric (and specifically the variance/resolution plots) might be more nuanced and informative than the (semi)variograms that are often used to characterise and understand spatial structure in the biophysical environment
The text was updated successfully, but these errors were encountered: