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      Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Technology

      2 in stock

      Firm sale: non returnable item
      SKU 9781446201749 Categories ,
      Select Guide Rating
      The definitive text on spatial statistics, from two key figures in the field. A systematic overview of everything an upper level student or researcher needs to know about spatial statistical and geostatistical methods.
      "Ideal for anyone who wishes to gain a practical unders...

      £44.99

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      Description

      Product ID:9781446201749
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Series:SAGE Advances in Geographic Information Science and Technology Series
      Title:Spatial Statistics and Geostatistics
      Subtitle:Theory and Applications for Geographic Information Science and Technology
      Authors:Author: Daniel A. Griffith, Yongwan Chun
      Page Count:200
      Subjects:Geographical information systems, geodata and remote sensing, Geographical information systems (GIS) & remote sensing
      Description:Select Guide Rating
      The definitive text on spatial statistics, from two key figures in the field. A systematic overview of everything an upper level student or researcher needs to know about spatial statistical and geostatistical methods.
      "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.


      Imprint Name:Sage Publications Ltd
      Publisher Name:Sage Publications Ltd
      Country of Publication:GB
      Publishing Date:2013-01-11

      Additional information

      Weight326 g
      Dimensions173 × 243 × 10 mm