Spatial Analysis and Modeling
Data on plant diversity are inherently spatial. There are various spatial techniques available to map and model plant diversity, or the distributions of selected species at landscape scales. This chapter discusses point distribution maps, range maps, spatial interpolation (kriging), spatial integration, and validating spatial models by assessing model “uncertainty”. The advantages and disadvantages of various modeling approaches are discussed.
Keywords: spatial autocorrelation, geostatistical analysis, spatial variability, co-kriging, semivariograms, residuals
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