Fundamentals of spatial analysis and modelling:
"This textbook provides comprehensive and in-depth explanations of all topics related to spatial analysis and spatiotemporal simulation, including how spatial data are acquired, represented digitally, and spatially aggregated. Also features the nature of space and how it is measured. Descriptiv...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2022
|
| Edition: | First edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | "This textbook provides comprehensive and in-depth explanations of all topics related to spatial analysis and spatiotemporal simulation, including how spatial data are acquired, represented digitally, and spatially aggregated. Also features the nature of space and how it is measured. Descriptive and inferential analyses are covered for point, line, and area data. It captures the latest developments in spatiotemporal simulation with cellular automata and agent-based modelling, and through practical examples discusses how spatial analysis and modelling can be implemented in different computing platforms. A much-needed textbook for a course at upper undergraduate and postgraduate levels"-- |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | xx, 348 Seiten Illustrationen, Diagramme |
| ISBN: | 9781032115757 9781032115764 |
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| 245 | 1 | 0 | |a Fundamentals of spatial analysis and modelling |c Jay Gao |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c 2022 | |
| 300 | |a xx, 348 Seiten |b Illustrationen, Diagramme | ||
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| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 505 | 8 | |a Space in spatial analysis -- Spatial data and association -- Descriptive and inferential spatial analysis -- Geostatistics and spatial interpolation -- Spatial modelling -- Spatial simulation -- Time-explicit spatial analysis and modelling | |
| 520 | 3 | |a "This textbook provides comprehensive and in-depth explanations of all topics related to spatial analysis and spatiotemporal simulation, including how spatial data are acquired, represented digitally, and spatially aggregated. Also features the nature of space and how it is measured. Descriptive and inferential analyses are covered for point, line, and area data. It captures the latest developments in spatiotemporal simulation with cellular automata and agent-based modelling, and through practical examples discusses how spatial analysis and modelling can be implemented in different computing platforms. A much-needed textbook for a course at upper undergraduate and postgraduate levels"-- | |
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Record in the Search Index
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Contents Preface. xv Author Biography. xvii Acknowledgements. xix Chapter 1 Introduction. 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 What Is Spatial Analysis?. 1 1.1.1 Definition.1 1.1.2 Spatial Statistics.2 1.1.3 Geocomputation.3 1.1.4 Geostatistics. 3 What Is So Special about Spatial Analysis?. 4 1.2.1 A Historic Event.4 1.2.2 Value of the Spatial Perspective. 4 1.2.3 Ubiquitous Applications. 6 1.2.4 Ability to Predict and Explore Alternatives. 7 A Brief History. 7 1.3.1 Pre-digital and Early Digital Era. 7 1.3.2 Desktop Era. 8
1.3.3 GPS and GIS Era.9 1.3.4 Big Data Era.10 Relationship with Other Pertinent Disciplines.11 1.4.1 GIS. 11 1.4.2 Remote Sensing. 13 1.4.3 GPS. 14 1.4.4 Computer Science. 15 1.4.5 Statistics.15 Targets of Analysis.16 1.5.1 Spatial Relationship. . 16 1.5.2 Spatial Pattern and Structure. :. 18 1.5.3 Spatial Process.20 Types of Spatial Analysis. 21 1.6.1 Descriptive Spatial Analysis.21 1.6.2 Explanatory/Inferential Spatial Analysis. 22 1.6.3 Predictive Spatial Analysis. 23 Systems for Spatial Analysis. 24 1.7.1 ArcGIS Pro. 25 1.7.2 ERDAS Imagine. 27 1.7.3
RStudio.27 1.7.4 MATLAB®. 28 1.7.5 NetLogo.29 vii
viii Contents Review Questions. 30 References.31 Chapter 2 Space in Spatial Analysis. 33 2.1 Spatial Reference Systems.33 2.1.1 Geoid and Datum. 33 2.1.2 Global Spherical System. 36 2.1.3 Global Plane System.36 2.1.4 Conversion between 3D and 2D Coordinates. 39 2.2 Properties of Spatial Entities.40 2.2.1 Components of Spatial Entities. 40 2.2.2 Object View of Spatial Entities. 41 ··*· 2.2.3 Field View of Spatial Entities.42 2.2.4 Dimension of Spatial Entities.43 2.2.5 Spatial Adjacency and Connectivity. 45 2.3 Quantitative Measures of Space. 46 2.3.1 Distance.47 2.3.2 Proximity. . 48 2.3.3 Neighbourhood. 49 2.3.4 Dispersion and Clustering.51 2.3.5
Direction.52 2.3.6 Area. 54 2.4 Spatial Partitioning and Aggregation.55 2.4.1 Spatial Partitioning.55 2.4.2 Spatial Aggregation and the Modifiable Area Unit Problem.1. 58 2.5 Spatial Tessellation. 61 2.5.1 Regular Tessellations.61 2.5.2 Irregular Tessellations.62 2.5.3 Delaunay Triangulation.65 2.5.4 Thiessen (Voronoi) Polygons. 67 2.6 Rudimentary Spatial Measures.69 2.6.1 Mean. 69 2.6.2 Variance and Standard Deviation.70 2.6.3 Correlation. 71 2.6.4 RMSE. 72 Review Questions.:. 73 References. 74 Chapter 3 Spatial Data and Association. 75 3.1 Data and Their
Sources. 75 3.1.1 Spatial Data.75
ix Contents 3.1.2 Thematic Data.75 3.1.3 Enumeration Scales of Thematic Data. 78 3.2 Spatial Sampling. 80 3.2.1 Sampling Considerations. 80 3.2.2 Strategies of Spatial Sampling.81 3.2.3 Sampling Dimensionality. 85 3.2.4 Sample Size and Spacing. 88 3.3 Spatial Association and Pattern. 90 3.3.1 Spatial Continuity versus Spatial Pattern.90 3.3.2 Scatterplot and H-scatterplot. 91 3.3.3 Correlogram.92 3.3.4 Spatial Auto-correlation. 94 3.3.5 Cross-correlation.95 3.3.6 Scale in Spatial Analysis. 98 3.4 Spatial Auto-correlation.99 3.4.1 Geary’s Ratio.99 3.4.2 Moran's I. 100 3.4.3 An example.101 3.4.4 Local-scale Spatial Association.102 3.4.5 Global Bivariate Spatial Auto-correlation.
106 3.5 Area Pattern and Joint Count Statistic. 107 3.5.1 Area Patterns and Joint Counts.107 3.5.2 Joint Count Test. 109 Review Questions.Ill References. 112 Chapter 4 Descriptive and Inferential Spatial Analysis. 4.1 4.2 4.3 115 Analysis of Point Data.115 4.1.1 Point Data. 115 4.1.2 Fundamental Types of Point Patterns.116 4.1.3 Poisson Process behind Random Patterns.118 4.1.4 Formation of Clustered Patterns. 118 4.1.5 Measures of Point Dispersion. 120 4.1.6 Nearest Neighbour Analysis. 121 4.1.7 Hotspot Analysis. 122 4.1.8 Inferential Analysis of Point Patterns.123 4.1.9 Kernel Density Analysis. 128 4.1.10 Second-order Analysis of Point Patterns. 130 Fractals and Spatial Analysis. 133 4.2.1 Line/Surface Complexity.;.133 4.2.2 Fundamentals of Fractal Geometry.135 4.2.3 Fractal Dimension and Its Determination. 136
Shape Analysis of Polygons. 137
x Contents 4.3.1 Desirable Qualities of Shape Measures.138 4.3.2 Outline-based Shape Analysis. 139 4.3.3 Compactness-based Measures. 140 4.3.4 Comparison to a Standard Shape. . 143 4.3.5 Practical Applications.144 4.4 Analysis of Areal Data and FRAGSTATS. 145 4.4.1 Objects of Study.145 4.4.2 Representative Metrics.146 4.4.3 FRAGSTATS.148 4.4.4 Application in Quantifying Urban Sprawl. 149 4.5 Analysis of Directions.150 4.5.1 Reference Systems of Directions. 151 4.5.2 Descriptive Measures. 152 "* 4.5.3 Schematic Representation.153 Review Questions.156 References. 157 Chapter 5 Geostatistics and Spatial Interpolation.159 5.1 Introduction. 159 5.1.1 Spatial Interpolation and Geostatistics.159 5.1.2 Regionalised
Variables. 159 5.1.3 Variogram and Semi-variogram. 161 5.1.4 Structure of Semi-variogram.162 5.1.5 Semi-variogram Models.164 5.2 Trend Surface Interpolation. 165 5.3 Moving Averaging. 169 5.4 Minimum Curvature. 173 5.5 Kriging. 176 5.5.1 Ordinary (Punctual) Kriging.176 5.5.2 A Comparative Evaluation.180 5.5.3 Simple Kriging.182 5.5.4 Universal Kriging.183 5.5.5 Block Kriging and Co-kriging. 184 Review Questions. 187 References. 187 Chapter 6 Spatial Modelling.189 6.1 Fundamentals of Modelling. 189 6.1.1 Models and Types.189 6.1.2 Static versus Dynamic Models. 192 6.13 Spatial
Modelling.194 6.1.4 Spatial Analysis or Spatial Modelling?. 195
Contents XI 6.2 Nature of Spatial Modelling.197 6.2.1 Variables in Spatial Modelling. 197 6.2.2 Types of Spatial Modelling. 198 6.2.3 Cartographic Modelling.204 6.2.4 Spatial Dynamic Modelling.207 6.3 Model Development and Accuracy.208 6.3.1 Feature Selection.209 6.3.2 Multi-collinearity Test.211 6.3.3 Model Validation.211 6.3.4 Measures of Modelling Accuracy.212 6.4 Issues in Spatial Modelling.214 6.4.1 Assignment of Weights.214 6.4.1.1 AHP.215 6.4.1.2 Regression Analysis.218 6.4.1.3 Weight of Evidence Model. 219 6.4.1.4 Delphi Technique.220 6.4.2 Spatial Modelling and Data Structure.220 6.4.3 Platforms for Spatial Modelling. 222 6.4.3.1 ArcGIS ModelBuilder. 222 6.4.3.2 Raster Calculator.223 6.4.3.3 IDRISI TerrSet.224
6.4.3.4 Scripting.224 6.5 Spatial Modelling in GIS Packages. 225 6.5.1 Spatial modelling and GIS Packages. 225 6.5.2 Pros and Cons of GIS Modelling. 227 6.5.3 Coupling of Spatial Models with GIS Software. 228 6.5.3.1 Loose Coupling.230 6.5.3.2 Tight Coupling. 231 6.5.3.3 Total Coupling. 232 6.6 Special Types of Modelling. 234 6.6.1 (Spatial) Logistic Regression. 234 6.6.2 Land Use Regression Modelling. 235 6.6.3 Hydrological Modelling. 238 6.7 Three Cases of Spatial Modelling.242 6.7.1 Earthquake Damage Modelling. 242 6.7.2 Landslide Susceptibility Modelling. 244 6.7.3 Glacier Extent Modelling.248 Review Questions.252 References. 252 Chapter 7 Spatial Simulation.257 7.1 Introduction.257 7.1.1 Spatial
Simulation.257 7.1.2 Spatiotemporal Dynamic Simulation. 258
xii Contents 7.1.3 Spatially Explicit Simulation Models. 259 7.1.4 Spatial Simulation and Machine Learning. 260 7.2 Cellular Automata Simulation.262 7.2.1 Automata. 262 7.2.2 Environment. 264 7.2.3 Rules.265 7.2.4 CA and Spatial Simulation.266 7.2.5 Two Examples of CA Models.267 7.2.6 Integration with Other Models.270 7.3 Agent-based Simulation. 271 7.3.1 Agents and Geographic Agents.271 7.3.2 Agent-based Modelling. 273 7.3.3 Rules. 274 7.3.4 CA or ABM?. 275 7.3.5 Designing and Developing ABMs. 277 7.3.6 Toolkits for Implementing ABM.279 7.4 NetLogo for Dynamic Simulation. 281 7.4.1 General Features. 281 7.4.2 Anatomy of a NetLogo Model.283 7.4.3 Sensitivity Analysis.284 7.4.4 NetLogo versus
Spatiotemporal Simulations. 285 7.5 Special Cases of Spatial Simulation.286 7.5.1 Wildfire Simulation.286 7.5.1.1 Wildfire Models. 287 7.5.1.2 Raster or Vector Simulation Models. . 289 7.5.1.3 Common Wildfire Simulation Models. 291 7.5.2 Urban Expansion Simulation.294 7.5.2.1 Modes of Urban Expansion.295 7.5.2.2 Players in Urban Expansion. 296 7.5.2.3 Simulation Models of Urban Expansion 298 7.5.2.4 A Case Study. 300 7.5.3 Simulation of Grassland Degradation. 301 Review Questions. 306 References.307 Chapter 8 Time-explicit Spatial Analysis and Modelling. 311 8.1 8.2 Time 311 8.1.1 8029553354900228 Nature of Time in Geography. 311 8.1.2 Space, Time, and Attribute. 312 8.1.3 Temporal Aggregation versus Discretisation. 315 Models of Spatiotemporal Representation.316 8.2.1 Time-location Path Model. 316 8.2.2 Gazetteer Method of Representation.318
Contents xiii 8.2.3 Snapshot Model. 319 8.2.4 Space-time Composites Model. 320 8.2.5 Spatiotemporal Object Model.321 8.2.6 Event-based Spatiotemporal Model. 323 8.2.7 Organisation and Storage of Spatiotemporal Data.325 8.3 Spatiotemporal Data Analysis. 325 8.3.1 Time-explicit versus Time-implicit Analysis. 325 8.3.2 Spatiotemporal Association.326 8.3.3 Time Slicing Overlay Analysis. 328 8.4 Time-explicit Spatiotemporal Modelling. 329 8.4.1 Extended Semi-variogram Model. 330 8.4.2 Diffusion Models.330 8.4.3 State and Transition Model. 331 8.4.4 Modified SIR Model. 332 8.4.5 Packages for Spatiotemporal Analysis and Modelling. 334 8.5 Visualisation of Spatiotemporal Data and Processes.335 8.5.1 Simple Map Display. 336 8.5.2 Animation. 338 8.5.3 Simulation. 339 Review Questions.339
References. 340 Index . 343 |
| adam_txt |
Contents Preface. xv Author Biography. xvii Acknowledgements. xix Chapter 1 Introduction. 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 What Is Spatial Analysis?. 1 1.1.1 Definition.1 1.1.2 Spatial Statistics.2 1.1.3 Geocomputation.3 1.1.4 Geostatistics. 3 What Is So Special about Spatial Analysis?. 4 1.2.1 A Historic Event.4 1.2.2 Value of the Spatial Perspective. 4 1.2.3 Ubiquitous Applications. 6 1.2.4 Ability to Predict and Explore Alternatives. 7 A Brief History. 7 1.3.1 Pre-digital and Early Digital Era. 7 1.3.2 Desktop Era. 8
1.3.3 GPS and GIS Era.9 1.3.4 Big Data Era.10 Relationship with Other Pertinent Disciplines.11 1.4.1 GIS. 11 1.4.2 Remote Sensing. 13 1.4.3 GPS. 14 1.4.4 Computer Science. 15 1.4.5 Statistics.15 Targets of Analysis.16 1.5.1 Spatial Relationship. . 16 1.5.2 Spatial Pattern and Structure. :. 18 1.5.3 Spatial Process.20 Types of Spatial Analysis. 21 1.6.1 Descriptive Spatial Analysis.21 1.6.2 Explanatory/Inferential Spatial Analysis. 22 1.6.3 Predictive Spatial Analysis. 23 Systems for Spatial Analysis. 24 1.7.1 ArcGIS Pro. 25 1.7.2 ERDAS Imagine. 27 1.7.3
RStudio.27 1.7.4 MATLAB®. 28 1.7.5 NetLogo.29 vii
viii Contents Review Questions. 30 References.31 Chapter 2 Space in Spatial Analysis. 33 2.1 Spatial Reference Systems.33 2.1.1 Geoid and Datum. 33 2.1.2 Global Spherical System. 36 2.1.3 Global Plane System.36 2.1.4 Conversion between 3D and 2D Coordinates. 39 2.2 Properties of Spatial Entities.40 2.2.1 Components of Spatial Entities. 40 2.2.2 Object View of Spatial Entities. 41 ··*· 2.2.3 Field View of Spatial Entities.42 2.2.4 Dimension of Spatial Entities.43 2.2.5 Spatial Adjacency and Connectivity. 45 2.3 Quantitative Measures of Space. 46 2.3.1 Distance.47 2.3.2 Proximity. . 48 2.3.3 Neighbourhood. 49 2.3.4 Dispersion and Clustering.51 2.3.5
Direction.52 2.3.6 Area. 54 2.4 Spatial Partitioning and Aggregation.55 2.4.1 Spatial Partitioning.55 2.4.2 Spatial Aggregation and the Modifiable Area Unit Problem.1. 58 2.5 Spatial Tessellation. 61 2.5.1 Regular Tessellations.61 2.5.2 Irregular Tessellations.62 2.5.3 Delaunay Triangulation.65 2.5.4 Thiessen (Voronoi) Polygons. 67 2.6 Rudimentary Spatial Measures.69 2.6.1 Mean. 69 2.6.2 Variance and Standard Deviation.70 2.6.3 Correlation. 71 2.6.4 RMSE. 72 Review Questions.:. 73 References. 74 Chapter 3 Spatial Data and Association. 75 3.1 Data and Their
Sources. 75 3.1.1 Spatial Data.75
ix Contents 3.1.2 Thematic Data.75 3.1.3 Enumeration Scales of Thematic Data. 78 3.2 Spatial Sampling. 80 3.2.1 Sampling Considerations. 80 3.2.2 Strategies of Spatial Sampling.81 3.2.3 Sampling Dimensionality. 85 3.2.4 Sample Size and Spacing. 88 3.3 Spatial Association and Pattern. 90 3.3.1 Spatial Continuity versus Spatial Pattern.90 3.3.2 Scatterplot and H-scatterplot. 91 3.3.3 Correlogram.92 3.3.4 Spatial Auto-correlation. 94 3.3.5 Cross-correlation.95 3.3.6 Scale in Spatial Analysis. 98 3.4 Spatial Auto-correlation.99 3.4.1 Geary’s Ratio.99 3.4.2 Moran's I. 100 3.4.3 An example.101 3.4.4 Local-scale Spatial Association.102 3.4.5 Global Bivariate Spatial Auto-correlation.
106 3.5 Area Pattern and Joint Count Statistic. 107 3.5.1 Area Patterns and Joint Counts.107 3.5.2 Joint Count Test. 109 Review Questions.Ill References. 112 Chapter 4 Descriptive and Inferential Spatial Analysis. 4.1 4.2 4.3 115 Analysis of Point Data.115 4.1.1 Point Data. 115 4.1.2 Fundamental Types of Point Patterns.116 4.1.3 Poisson Process behind Random Patterns.118 4.1.4 Formation of Clustered Patterns. 118 4.1.5 Measures of Point Dispersion. 120 4.1.6 Nearest Neighbour Analysis. 121 4.1.7 Hotspot Analysis. 122 4.1.8 Inferential Analysis of Point Patterns.123 4.1.9 Kernel Density Analysis. 128 4.1.10 Second-order Analysis of Point Patterns. 130 Fractals and Spatial Analysis. 133 4.2.1 Line/Surface Complexity.;.133 4.2.2 Fundamentals of Fractal Geometry.135 4.2.3 Fractal Dimension and Its Determination. 136
Shape Analysis of Polygons. 137
x Contents 4.3.1 Desirable Qualities of Shape Measures.138 4.3.2 Outline-based Shape Analysis. 139 4.3.3 Compactness-based Measures. 140 4.3.4 Comparison to a Standard Shape. . 143 4.3.5 Practical Applications.144 4.4 Analysis of Areal Data and FRAGSTATS. 145 4.4.1 Objects of Study.145 4.4.2 Representative Metrics.146 4.4.3 FRAGSTATS.148 4.4.4 Application in Quantifying Urban Sprawl. 149 4.5 Analysis of Directions.150 4.5.1 Reference Systems of Directions. 151 4.5.2 Descriptive Measures. 152 "* 4.5.3 Schematic Representation.153 Review Questions.156 References. 157 Chapter 5 Geostatistics and Spatial Interpolation.159 5.1 Introduction. 159 5.1.1 Spatial Interpolation and Geostatistics.159 5.1.2 Regionalised
Variables. 159 5.1.3 Variogram and Semi-variogram. 161 5.1.4 Structure of Semi-variogram.162 5.1.5 Semi-variogram Models.164 5.2 Trend Surface Interpolation. 165 5.3 Moving Averaging. 169 5.4 Minimum Curvature. 173 5.5 Kriging. 176 5.5.1 Ordinary (Punctual) Kriging.176 5.5.2 A Comparative Evaluation.180 5.5.3 Simple Kriging.182 5.5.4 Universal Kriging.183 5.5.5 Block Kriging and Co-kriging. 184 Review Questions. 187 References. 187 Chapter 6 Spatial Modelling.189 6.1 Fundamentals of Modelling. 189 6.1.1 Models and Types.189 6.1.2 Static versus Dynamic Models. 192 6.13 Spatial
Modelling.194 6.1.4 Spatial Analysis or Spatial Modelling?. 195
Contents XI 6.2 Nature of Spatial Modelling.197 6.2.1 Variables in Spatial Modelling. 197 6.2.2 Types of Spatial Modelling. 198 6.2.3 Cartographic Modelling.204 6.2.4 Spatial Dynamic Modelling.207 6.3 Model Development and Accuracy.208 6.3.1 Feature Selection.209 6.3.2 Multi-collinearity Test.211 6.3.3 Model Validation.211 6.3.4 Measures of Modelling Accuracy.212 6.4 Issues in Spatial Modelling.214 6.4.1 Assignment of Weights.214 6.4.1.1 AHP.215 6.4.1.2 Regression Analysis.218 6.4.1.3 Weight of Evidence Model. 219 6.4.1.4 Delphi Technique.220 6.4.2 Spatial Modelling and Data Structure.220 6.4.3 Platforms for Spatial Modelling. 222 6.4.3.1 ArcGIS ModelBuilder. 222 6.4.3.2 Raster Calculator.223 6.4.3.3 IDRISI TerrSet.224
6.4.3.4 Scripting.224 6.5 Spatial Modelling in GIS Packages. 225 6.5.1 Spatial modelling and GIS Packages. 225 6.5.2 Pros and Cons of GIS Modelling. 227 6.5.3 Coupling of Spatial Models with GIS Software. 228 6.5.3.1 Loose Coupling.230 6.5.3.2 Tight Coupling. 231 6.5.3.3 Total Coupling. 232 6.6 Special Types of Modelling. 234 6.6.1 (Spatial) Logistic Regression. 234 6.6.2 Land Use Regression Modelling. 235 6.6.3 Hydrological Modelling. 238 6.7 Three Cases of Spatial Modelling.242 6.7.1 Earthquake Damage Modelling. 242 6.7.2 Landslide Susceptibility Modelling. 244 6.7.3 Glacier Extent Modelling.248 Review Questions.252 References. 252 Chapter 7 Spatial Simulation.257 7.1 Introduction.257 7.1.1 Spatial
Simulation.257 7.1.2 Spatiotemporal Dynamic Simulation. 258
xii Contents 7.1.3 Spatially Explicit Simulation Models. 259 7.1.4 Spatial Simulation and Machine Learning. 260 7.2 Cellular Automata Simulation.262 7.2.1 Automata. 262 7.2.2 Environment. 264 7.2.3 Rules.265 7.2.4 CA and Spatial Simulation.266 7.2.5 Two Examples of CA Models.267 7.2.6 Integration with Other Models.270 7.3 Agent-based Simulation. 271 7.3.1 Agents and Geographic Agents.271 7.3.2 Agent-based Modelling. 273 7.3.3 Rules. 274 7.3.4 CA or ABM?. 275 7.3.5 Designing and Developing ABMs. 277 7.3.6 Toolkits for Implementing ABM.279 7.4 NetLogo for Dynamic Simulation. 281 7.4.1 General Features. 281 7.4.2 Anatomy of a NetLogo Model.283 7.4.3 Sensitivity Analysis.284 7.4.4 NetLogo versus
Spatiotemporal Simulations. 285 7.5 Special Cases of Spatial Simulation.286 7.5.1 Wildfire Simulation.286 7.5.1.1 Wildfire Models. 287 7.5.1.2 Raster or Vector Simulation Models. . 289 7.5.1.3 Common Wildfire Simulation Models. 291 7.5.2 Urban Expansion Simulation.294 7.5.2.1 Modes of Urban Expansion.295 7.5.2.2 Players in Urban Expansion. 296 7.5.2.3 Simulation Models of Urban Expansion 298 7.5.2.4 A Case Study. 300 7.5.3 Simulation of Grassland Degradation. 301 Review Questions. 306 References.307 Chapter 8 Time-explicit Spatial Analysis and Modelling. 311 8.1 8.2 Time 311 8.1.1 8029553354900228 Nature of Time in Geography. 311 8.1.2 Space, Time, and Attribute. 312 8.1.3 Temporal Aggregation versus Discretisation. 315 Models of Spatiotemporal Representation.316 8.2.1 Time-location Path Model. 316 8.2.2 Gazetteer Method of Representation.318
Contents xiii 8.2.3 Snapshot Model. 319 8.2.4 Space-time Composites Model. 320 8.2.5 Spatiotemporal Object Model.321 8.2.6 Event-based Spatiotemporal Model. 323 8.2.7 Organisation and Storage of Spatiotemporal Data.325 8.3 Spatiotemporal Data Analysis. 325 8.3.1 Time-explicit versus Time-implicit Analysis. 325 8.3.2 Spatiotemporal Association.326 8.3.3 Time Slicing Overlay Analysis. 328 8.4 Time-explicit Spatiotemporal Modelling. 329 8.4.1 Extended Semi-variogram Model. 330 8.4.2 Diffusion Models.330 8.4.3 State and Transition Model. 331 8.4.4 Modified SIR Model. 332 8.4.5 Packages for Spatiotemporal Analysis and Modelling. 334 8.5 Visualisation of Spatiotemporal Data and Processes.335 8.5.1 Simple Map Display. 336 8.5.2 Animation. 338 8.5.3 Simulation. 339 Review Questions.339
References. 340 Index . 343 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Gao, Jay |
| author_GND | (DE-588)1255461853 |
| author_facet | Gao, Jay |
| author_role | aut |
| author_sort | Gao, Jay |
| author_variant | j g jg |
| building | Verbundindex |
| bvnumber | BV047896833 |
| callnumber-first | Q - Science |
| callnumber-label | QA278 |
| callnumber-raw | QA278.2 |
| callnumber-search | QA278.2 |
| callnumber-sort | QA 3278.2 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | RB 10104 |
| contents | Space in spatial analysis -- Spatial data and association -- Descriptive and inferential spatial analysis -- Geostatistics and spatial interpolation -- Spatial modelling -- Spatial simulation -- Time-explicit spatial analysis and modelling |
| ctrlnum | (OCoLC)1291319386 (DE-599)KXP1775514870 |
| dewey-full | 001.4/22 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.4/22 |
| dewey-search | 001.4/22 |
| dewey-sort | 11.4 222 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines Geographie |
| discipline_str_mv | Allgemeines Geographie |
| edition | First edition |
| format | Book |
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| id | DE-604.BV047896833 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:27:49Z |
| indexdate | 2024-07-20T08:31:16Z |
| institution | BVB |
| isbn | 9781032115757 9781032115764 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033278825 |
| oclc_num | 1291319386 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-188 DE-824 |
| owner_facet | DE-355 DE-BY-UBR DE-188 DE-824 |
| physical | xx, 348 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| spelling | Gao, Jay Verfasser (DE-588)1255461853 aut Fundamentals of spatial analysis and modelling Jay Gao First edition Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2022 xx, 348 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Space in spatial analysis -- Spatial data and association -- Descriptive and inferential spatial analysis -- Geostatistics and spatial interpolation -- Spatial modelling -- Spatial simulation -- Time-explicit spatial analysis and modelling "This textbook provides comprehensive and in-depth explanations of all topics related to spatial analysis and spatiotemporal simulation, including how spatial data are acquired, represented digitally, and spatially aggregated. Also features the nature of space and how it is measured. Descriptive and inferential analyses are covered for point, line, and area data. It captures the latest developments in spatiotemporal simulation with cellular automata and agent-based modelling, and through practical examples discusses how spatial analysis and modelling can be implemented in different computing platforms. A much-needed textbook for a course at upper undergraduate and postgraduate levels"-- Fotogrammetrie (DE-588)4045892-1 gnd rswk-swf Regionalanalyse (DE-588)4299244-8 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Mathematische Modellierung (DE-588)7651795-0 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Geologie (DE-588)4020227-6 gnd rswk-swf Räumliche Analyse geophysikalische Signalverarbeitung Geology / Statistical methods / Data processing Spatial analysis (Statistics) Spatial analysis (Statistics) / Mathematical models Regionalanalyse (DE-588)4299244-8 s Mathematische Modellierung (DE-588)7651795-0 s Geologie (DE-588)4020227-6 s Fernerkundung (DE-588)4016796-3 s Modellierung (DE-588)4170297-9 s Statistik (DE-588)4056995-0 s Fotogrammetrie (DE-588)4045892-1 s b DE-604 Erscheint auch als Online-Ausgabe 978-1-00-322052-7 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033278825&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gao, Jay Fundamentals of spatial analysis and modelling Space in spatial analysis -- Spatial data and association -- Descriptive and inferential spatial analysis -- Geostatistics and spatial interpolation -- Spatial modelling -- Spatial simulation -- Time-explicit spatial analysis and modelling Fotogrammetrie (DE-588)4045892-1 gnd Regionalanalyse (DE-588)4299244-8 gnd Modellierung (DE-588)4170297-9 gnd Fernerkundung (DE-588)4016796-3 gnd Mathematische Modellierung (DE-588)7651795-0 gnd Statistik (DE-588)4056995-0 gnd Geologie (DE-588)4020227-6 gnd |
| subject_GND | (DE-588)4045892-1 (DE-588)4299244-8 (DE-588)4170297-9 (DE-588)4016796-3 (DE-588)7651795-0 (DE-588)4056995-0 (DE-588)4020227-6 |
| title | Fundamentals of spatial analysis and modelling |
| title_auth | Fundamentals of spatial analysis and modelling |
| title_exact_search | Fundamentals of spatial analysis and modelling |
| title_exact_search_txtP | Fundamentals of spatial analysis and modelling |
| title_full | Fundamentals of spatial analysis and modelling Jay Gao |
| title_fullStr | Fundamentals of spatial analysis and modelling Jay Gao |
| title_full_unstemmed | Fundamentals of spatial analysis and modelling Jay Gao |
| title_short | Fundamentals of spatial analysis and modelling |
| title_sort | fundamentals of spatial analysis and modelling |
| topic | Fotogrammetrie (DE-588)4045892-1 gnd Regionalanalyse (DE-588)4299244-8 gnd Modellierung (DE-588)4170297-9 gnd Fernerkundung (DE-588)4016796-3 gnd Mathematische Modellierung (DE-588)7651795-0 gnd Statistik (DE-588)4056995-0 gnd Geologie (DE-588)4020227-6 gnd |
| topic_facet | Fotogrammetrie Regionalanalyse Modellierung Fernerkundung Mathematische Modellierung Statistik Geologie |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033278825&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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