Quantifying spatial patterns of landscapes.
In this paper we discuss information theoretical landscape indices based on data from digitized maps in grid format: measures based on Shannon's entropy, e.g. the measures of diversity and contagion; and measures based on conditional entropy, e.g. a new index which can be seen as an alternative to the measure of contagion that does not have the disadvantage of being highly correlated to the measure of diversity. We also introduce a measurement on how much information is contained in a coarse-scale map about a fine-scale map.
Ekström
Magnus
M
Center of Biostochastics, Swedish University of Agricultural Sciences, Umeå. magnus.ekstrom@sekon.slu.se
D019277:Entropy; D004777:Environment; D040362:Geographic Information Systems; D008962:Models, Theoretical; D012016:Reference Values