Spatial Analysis and Modeling

Thomas J. Stohlgren

in Measuring Plant Diversity

Published in print November 2006 | ISBN: 9780195172331
Published online September 2007 | e-ISBN: 9780199790395 | DOI:
 Spatial Analysis and Modeling

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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

Chapter.  5601 words.  Illustrated.

Subjects: Plant Sciences and Forestry

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