Spatial Statistics & Geostatistics : Theory and Applications for Geographic Information Science & Technology /: Theory and Applications for Geographic Information Science & Technology. (2013)
- Record Type:
- Book
- Title:
- Spatial Statistics & Geostatistics : Theory and Applications for Geographic Information Science & Technology /: Theory and Applications for Geographic Information Science & Technology. (2013)
- Main Title:
- Spatial Statistics & Geostatistics : Theory and Applications for Geographic Information Science & Technology
- Other Titles:
- Spatial statistics and geostatistics
- Further Information:
- Note: Yongwan Chun & Daniel A. Griffith.
- Authors:
- Chun, Yongwan
Griffith, Daniel A - Contents:
- 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 CodeAbout 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; … (more)
- Publisher Details:
- Los Angeles : SAGE
- Publication Date:
- 2013
- Extent:
- 1 online resource (xiv, 181 pages), illustrations, maps
- Subjects:
- 910.285
Geospatial data
Spatial analysis (Statistics) - Languages:
- English
- ISBNs:
- 9781446272114
1446272117 - Related ISBNs:
- 9781446201732
1446201732
9781446201749
1446201740 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.31249
- Ingest File:
- 01_017.xml