Spatial Analysis: A Guide for Ecologists
Cambridge University Press, Apr 21, 2005 - Mathematics - 365 pages
The spatial and temporal dimensions of ecological phenomena have always been inherent in the conceptual framework of ecology, but only recently have they been incorporated explicitly into ecological theory, sampling design, experimental design and models. Statistical techniques for spatial analysis of ecological data are burgeoning and many ecologists are unfamiliar with what is available and how the techniques should be used correctly. This book gives an overview of the wide range of spatial statistics available to analyse ecological data, and provides advice and guidance for graduate students and practising researchers who are either about to embark on spatial analysis in ecological studies or who have started but are unsure how to proceed. Only a basic understanding of statistics is assumed and many schematic illustrations are given to complement or replace mathematical technicalities, making the book accessible to ecologists wishing to enter this important and fast-growing field for the first time.
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algorithm approach autoregressive average bivariate calculated candidate boundary elements chaos Chapter circles circumcircle Cited on pages coefficient computed correlation correlogram covariance Dale Delaunay Delaunay triangulation density described detect distance class distribution ecological ecological data ecological processes ecologists edge effective sample evaluation example expected value Figure forest Fortin fractal dimension function geostatistics global gradient graph habitat indicate interpolation kriging lacunarity landscape lattice Legendre & Legendre linear Mantel tests matrix measure methods minimum spanning tree Moran's multivariate nearest neighbour null hypothesis observed overdispersed pairs parameters partition patches plant plot point pattern polygons population positive quadrat randomization tests range rates of change relationship residuals restricted randomization Ripley's sampling design sampling locations sampling units scales semi-variance significant space spatial analysis spatial autocorrelation spatial clusters spatial dependence spatial lag spatial pattern spatial statistics spatial structure species stationarity techniques temporal Thallus transect tree variable variogram Vegetation wavelet
Page 347 - Fortin, M.-J., Olson, RJ, Person, S., Iverson, L, Hunsaker, C., Edwards, G., Levine, D., Butera, K. and Klemas, V. (2000) 'Issues related to the detection of boundaries', Landscape Ecology, 15: 453-66.
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