Local models for spatial analysis. (©2011)
- Record Type:
- Book
- Title:
- Local models for spatial analysis. (©2011)
- Main Title:
- Local models for spatial analysis
- Further Information:
- Note: Christopher D. Lloyd.
- Other Names:
- Lloyd, Christopher D
- Contents:
- Introduction ; Remit Of This Book; Local Models and Methods; What Is Local?; Spatial Dependence and Autocorrelation; Spatial Scale; Stationarity; Spatial Data Models; Datasets Used for Illustrative Purposes; A Note on Notation; Overview ; Local Modelling; Standard Methods and Local Variations; Approaches to Local Adaptation; Stratification or Segmentation of Spatial Data; Moving Window/Kernel Methods; Locally-Varying Model Parameters; Transforming and Detrending Spatial Data; Categorising Local Statistical Models; Local Models And Methods And The Structure Of The Book; Overview; ; Grid Data ; Exploring Spatial Variation in Gridded Variables; Global Univariate Statistics; Local Univariate Statistics; Analysis of Grid Data; Moving Windows for Grid Analysis; Wavelets; Segmentation; Analysis of Digital Elevation Models ; Overview; ; Spatial Patterning in Single Variables ; Local Summary Statistics; Geographically Weighted Statistics; Spatial Autocorrelation: Global Measures; Spatial Association and Categorical Data; Other Issues; Overview; ; Spatial Relations ; Global Regression; Spatial and Local Regression; Regression and Spatial Data; Spatial Autoregressive Models; Multilevel Modelling; Allowing for Local Variation in Model Parameters; Moving Window Regression (Mwr); Geographically Weighted Regression (Gwr); Spatially Weighted Classification; Local Regression Methods: Some Pros and Cons; Overview; ; Spatial Prediction 1: Deterministic Methods, Curve Fitting, and Smoothing ;Introduction ; Remit Of This Book; Local Models and Methods; What Is Local?; Spatial Dependence and Autocorrelation; Spatial Scale; Stationarity; Spatial Data Models; Datasets Used for Illustrative Purposes; A Note on Notation; Overview ; Local Modelling; Standard Methods and Local Variations; Approaches to Local Adaptation; Stratification or Segmentation of Spatial Data; Moving Window/Kernel Methods; Locally-Varying Model Parameters; Transforming and Detrending Spatial Data; Categorising Local Statistical Models; Local Models And Methods And The Structure Of The Book; Overview; ; Grid Data ; Exploring Spatial Variation in Gridded Variables; Global Univariate Statistics; Local Univariate Statistics; Analysis of Grid Data; Moving Windows for Grid Analysis; Wavelets; Segmentation; Analysis of Digital Elevation Models ; Overview; ; Spatial Patterning in Single Variables ; Local Summary Statistics; Geographically Weighted Statistics; Spatial Autocorrelation: Global Measures; Spatial Association and Categorical Data; Other Issues; Overview; ; Spatial Relations ; Global Regression; Spatial and Local Regression; Regression and Spatial Data; Spatial Autoregressive Models; Multilevel Modelling; Allowing for Local Variation in Model Parameters; Moving Window Regression (Mwr); Geographically Weighted Regression (Gwr); Spatially Weighted Classification; Local Regression Methods: Some Pros and Cons; Overview; ; Spatial Prediction 1: Deterministic Methods, Curve Fitting, and Smoothing ; Point Interpolation; Global Methods; Local Methods; Areal Interpolation; General Approaches: Overlay; Local Models and Local Data; Limitations: Point And Areal Interpolation; Overview; ; Spatial Prediction 2: Geostatistics ; Random Function Models; Stationarity; Exploring Spatial Variation; Kriging; Globally Constant Mean: Simple Kriging; Locally Constant Mean Models; Ordinary Kriging; Cokriging; Equivalence of Splines And Kriging; Conditional Simulation; The Change of Support Problem; Other Approaches; Local Approaches: Nonstationary Models; Nonstationary Mean; Nonstationary Models For Prediction; Nonstationary Variogram; Variograms in Texture Analysis; Summary; ; Point Patterns and Cluster Detection ; Point Patterns; Visual Examination of Point Patterns; Measuring Event Intensity And Distance Methods; Statistical Tests of Point Patterns; Global Methods; Measuring Event Intensity; Distance Methods; Other Issues; Local Methods; Measuring Event Intensity Locally; Accounting For The Population at Risk; The Local K Function; Point Patterns and Detection of Clusters; Overview; ; Summary: Local Models for Spatial Analysis ; Review; Issues; Software; Future Developments; Summary; ; A Software; References; Index … (more)
- Edition:
- 2nd ed
- Publisher Details:
- Boca Raton, Fla : CRC Press
- Publication Date:
- 2011
- Copyright Date:
- 2011
- Extent:
- 1 online resource (336 pages)
- Subjects:
- 519.5
Geographic information systems -- Mathematical models
Spatial analysis (Statistics)
Geographic Information Systems
Models, Theoretical
Data Interpretation, Statistical
Mathematics
MATHEMATICS -- Probability & Statistics -- General
Geographic information systems -- Mathematical models
Spatial analysis (Statistics)
Electronic books - Languages:
- English
- ISBNs:
- 9781439829233
1439829233
9781439829196
1439829195 - Notes:
- Note: Includes bibliographical references (pages 277-306) and index.
Note: Print version record. - 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.149085
- Ingest File:
- 01_071.xml