Spatial Statistics & Geostatistics Theory and Applications for Geographic Information Science & Technology - SAGE Advances in GIST

"Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling spatial autocorrelation local statistics spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.

ISBN:	9781446201732
Publisher:	SAGE Publications
Imprint:	SAGE
Published date:	21 Jan 2013
DEWEY:	910.285
DEWEY edition:	23
Language:	English
Number of pages:	181
Weight:	410g
Height:	242mm
Width:	170mm
Spine width:	12mm

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