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

Aus der Reihe SAGE Advances in Geographic Information Science and Technology Series
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51,99 € UVP 96,80 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.01.2013

Verlag

Sage Publications

Seitenzahl

200

Maße (L/B/H)

24,4/17/1,1 cm

Gewicht

499 g

Sprache

Englisch

ISBN

978-1-4462-0174-9

Beschreibung

Rezension

This book is 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

This text is a remarkable roadmap to the methods of spatial statistics and in particular, the technique of spatial filtering. The included case studies and computer code make the book extraordinarily interactive and will benefit both students and applied researchers across many disciplines.
W. Ryan Davis
PhD Candidate in Economics, University of Texas at Dallas

This is a valuable and enjoyable addition to applied spatial statistics, particularly because the reader, or rather user, of the book can see exactly what the authors are doing, and so may reproduce all the analyses using the code provided.
Professor Roger S. Bivand
Norges Handelshøyskole Norwegian School of Economics

Zitat

SAGE has a long tradition of publishing accessible texts explaining key concepts in statistics. This book is in my opinion very useful. I particularly like the choice of statistical problems, the focus on one region to explain a series of problems and the availability of R code, which makes it easy for the reader to reproduce the analysis.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.01.2013

Verlag

Sage Publications

Seitenzahl

200

Maße (L/B/H)

24,4/17/1,1 cm

Gewicht

499 g

Sprache

Englisch

ISBN

978-1-4462-0174-9

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE

Herstelleradresse

SAGE Publications
1 Oliver's Yard 55 City Road
EC1Y 1SP London
GB

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  • Produktbild: Spatial Statistics and Geostatistics
  • Produktbild: Spatial Statistics and Geostatistics
  • About the Authors
    Preface
    Introduction
    Spatial Statistics and Geostatistics
    R Basics
    Spatial Autocorrelation
    Indices Measuring Spatial Dependency
    Important Properties of MC
    Relationships Between MC And GR, and MC and Join Count Statistics
    Graphic Portrayals: The Moran Scatterplot and the Semi-variogram Plot
    Impacts of Spatial Autocorrelation
    Testing for Spatial Autocorrelation in Regression Residuals
    R Code for Concept Implementations
    Spatial Sampling
    Selected Spatial Sampling Designs
    Puerto Rico DEM Data
    Properties of the Selected Sampling Designs: Simulation Experiment Results
    Sampling Simulation Experiments On A Unit Square Landscape
    Sampling Simulation Experiments On A Hexagonal Landscape Structure
    Resampling Techniques: Reusing Sampled Data
    The Bootstrap
    The Jackknife
    Spatial Autocorrelation and Effective Sample Size
    R Code for Concept Implementations
    Spatial Composition and Configuration
    Spatial Heterogeneity: Mean and Variance
    ANOVA
    Testing for Heterogeneity Over a Plane: Regional Supra-Partitionings
    Establishing a Relationship to the Superpopulation
    A Null Hypothesis Rejection Case With Heterogeneity
    Testing for Heterogeneity Over a Plane: Directional Supra-Partitionings
    Covariates Across a Geographic Landscape
    Spatial Weights Matrices
    Weights Matrices for Geographic Distributions
    Weights Matrices for Geographic Flows
    Spatial Heterogeneity: Spatial Autocorrelation
    Regional Differences
    Directional Differences: Anisotropy
    R Code for Concept Implementations
    Spatially Adjusted Regression And Related Spatial Econometrics
    Linear Regression
    Nonlinear Regression
    Binomial/Logistic Regression
    Poisson/Negative Binomial Regression
    Geographic Distributions
    Geographic Flows: A Journey-To-Work Example
    R Code for Concept Implementations
    Local Statistics: Hot And Cold Spots
    Multiple Testing with Positively Correlated Data
    Local Indices of Spatial Association
    Getis-Ord Statistics
    Spatially Varying Coefficients
    R Code For Concept Implementations
    Analyzing Spatial Variance And Covariance With Geostatistics And Related Techniques
    Semi-variogram Models
    Co-kriging
    DEM Elevation as a Covariate
    Landsat 7 ETM+ Data as a Covariate
    Spatial Linear Operators
    Multivariate Geographic Data
    Eigenvector Spatial Filtering: Correlation Coefficient Decomposition
    R Code for Concept Implementations
    Methods For Spatial Interpolation In Two Dimensions
    Kriging: An Algebraic Basis
    The EM Algorithm
    Spatial Autoregression: A Spatial EM Algorithm
    Eigenvector Spatial Filtering: Another Spatial EM Algorithm
    R Code for Concept Implementations
    More Advanced Topics In Spatial Statistics
    Bayesian Methods for Spatial Data
    Markov Chain Monte Carlo Techniques
    Selected Puerto Rico Examples
    Designing Monte Carlo Simulation Experiments
    A Monte Carlo Experiment Investigating Eigenvector Selection when Constructing a Spatial Filter
    A Monte Carlo Experiment Investigating Eigenvector Selection from a Restricted Candidate Set of Vectors
    Spatial Error: A Contributor to Uncertainty
    R Code for Concept Implementations
    References
    Index