Spatial Statistics and Geostatistics

Theory and Applications for Geographic Information Science and Technology

Nonfiction, Science & Nature, Science, Earth Sciences, Geography, Reference & Language, Reference
Cover of the book Spatial Statistics and Geostatistics by Yongwan Chun, Daniel A. Griffith, SAGE Publications
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Author: Yongwan Chun, Daniel A. Griffith ISBN: 9781446291627
Publisher: SAGE Publications Publication: January 11, 2013
Imprint: SAGE Publications Ltd Language: English
Author: Yongwan Chun, Daniel A. Griffith
ISBN: 9781446291627
Publisher: SAGE Publications
Publication: January 11, 2013
Imprint: SAGE Publications Ltd
Language: English

"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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

"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:

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.

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