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OutDiversity
LSMetrics calculates four metrics of Landscape Diversity. See the example outputs below:
Given an extent value (or a list of values), the diversity around each pixel is calculated by computing the proportion pi of each land use inside a window of such an extent and calculating the Shannon index from it (Magurran, 2004). Therefore, the landscape diversity around a pixel depends on the number of different land use classes around it and on the amount of each class.
See query results below:
Simpson´s diversity (Simpson, 1949)
Diversity is based on the probability that two interacting individuals of a population belong to the same species. In our case, 2 patches belonging to the same land use class
See query results below:
Pielou´s evenness (Pielou, 1966)
See query results below:
This index compares the measured diversity to the corresponding maximum value in landscape.
Renyi (Rényi, 1961)
The Rényi entropy is a generalization of the Shannon´s diversity index. Alpha of example is set as 0.5.
See query results below: