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Measuring Plant DiversityLessons from the Field$
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Thomas J. Stohlgren

Print publication date: 2006

Print ISBN-13: 9780195172331

Published to Oxford Scholarship Online: September 2007

DOI: 10.1093/acprof:oso/9780195172331.001.0001

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Spatial Analysis and Modeling

Spatial Analysis and Modeling

(p.254) 14 Spatial Analysis and Modeling
Measuring Plant Diversity

Thomas J. Stohlgren

Oxford University Press

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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