Spatial analysis methods and practice: describe, explore, explain through GIS
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2020
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xiv, 518 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) |
| ISBN: | 9781108498982 9781108712934 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV046790882 | ||
| 003 | DE-604 | ||
| 005 | 20210510 | ||
| 007 | t | ||
| 008 | 200702s2020 xxka||| |||| 00||| eng d | ||
| 020 | |a 9781108498982 |c hbk. |9 978-1-108-49898-2 | ||
| 020 | |a 9781108712934 |c pbk. |9 978-1-108-71293-4 | ||
| 035 | |a (OCoLC)1161979083 | ||
| 035 | |a (DE-599)KXP1693342693 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxk |c XA-GB | ||
| 049 | |a DE-355 |a DE-11 |a DE-83 | ||
| 082 | 0 | |a 910.285 | |
| 084 | |a RB 10104 |0 (DE-625)142220:12617 |2 rvk | ||
| 084 | |a QY 000 |0 (DE-625)142214: |2 rvk | ||
| 100 | 1 | |a Grekousis, George |d ca. 20./21. Jh. |e Verfasser |0 (DE-588)1212127145 |4 aut | |
| 245 | 1 | 0 | |a Spatial analysis methods and practice |b describe, explore, explain through GIS |c George Grekousis (Sun Yat-Sen University (SYSU)) |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2020 | |
| 300 | |a xiv, 518 Seiten |b Illustrationen, Diagramme, Karten (teilweise farbig) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 0 | 7 | |a Geoinformationssystem |0 (DE-588)4261642-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Raumdaten |0 (DE-588)4206012-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Räumliche Statistik |0 (DE-588)4386767-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Raumordnung |0 (DE-588)4048590-0 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Spatial analysis (Statistics) | |
| 653 | 0 | |a Geographic information systems | |
| 689 | 0 | 0 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | 1 | |a Geoinformationssystem |0 (DE-588)4261642-6 |D s |
| 689 | 0 | 2 | |a Räumliche Statistik |0 (DE-588)4386767-4 |D s |
| 689 | 0 | 3 | |a Raumdaten |0 (DE-588)4206012-6 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Geoinformationssystem |0 (DE-588)4261642-6 |D s |
| 689 | 1 | 1 | |a Raumordnung |0 (DE-588)4048590-0 |D s |
| 689 | 1 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-108-61452-8 |
| 856 | 4 | 2 | |m Digitalisierung UB Regensburg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032199817&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032199817 | ||
Datensatz im Suchindex
| _version_ | 1804181580333187072 |
|---|---|
| adam_text | Contents Preface 1 page xiii Think Spatially: Basic Concepts of Spatial Analysis and Space Conceptualization Learning Objectives 1.1 Introduction: Spatial Analysis 1.2 Basic Definitions 1.3 Spatial Data: What Makes Them Special? 1.4 Conceptualization of Spatial Relationships 1.5 Distance Measure. 1.5.1 Fixed Distance Band (Sphere of Influence) 1.5.2 Distance Decay 1.6 Contiguity: Adjacency Matrix 1.6.1 Polygons Contiguity 1.6.2 Adjacency Matrix 1.7 Interaction 1.8 Neighborhood and Neighbors 1.8.1 k-Nearest Neighbors (k-NN) 1.8.2 Space-Time Window 1.8.3 Proximity Polygons 1.8.4 Delaunay Triangulation and Triangular Irregular Networks (TIN) 1.9 Spatial Weights and Row Standardization 1.10 Chapter Concluding Remarks Questions and Answers Lab 1 The Project: Spatial Analysis forReal Estate Market Investments Overall Progress Scope of Analysis Dataset Structure Guidelines 1 1 2 6 10 15 17 18 20 23 23 25 26 27 27 29 30 31 31 33 34 39 39 39 44 45 v
vi 2 Contents Section A ArcGIS Exercise 1.1 Getting to Know the Data and Study Region 45 45 Section В GeoDa Exercise 1.1 Getting to Know the Data and Study Region 52 52 Exploratory Spatial Data Analysis Tools and Statistics 59 Learning Objectives 2.1 Introduction in Exploratory Spatial Data Analysis, Descriptive Statistics, Inferential Statistics andSpatial Statistics 2.2 Simple ESDA Tools and Descriptive Statistics for Visualizing Spatial Data (Univariate Data) 2.2.1 Choropleth Maps 2.2.2 Frequency Distribution and Histograms 2.2.3 Measures of Center 2.2.4 Measures of Shape 2.2.5 Measures of Spread/Variability - Variation 2.2.6 Percentiles, Quartiles and Quantiles 2.2.7 Outliers 2.2.8 Boxplot 2.2.9 Normal QQ Plot 2.3 ESDA Tools and Descriptive Statistics for Analyzing Two or More Variables (Bivariate Analysis) 2.3.1 Scatter Plot 2.3.2 Scatter Plot Matrix 2.3.3 Covariance and Variance-Covariance Matrix 2.3.4 Correlation Coefficient 2.3.5 Pairwise Correlation 2.3.6 General QQ Plot 2.4 Rescaling Data 2.5 Inferential Statistics and Their Importance in Spatial Statistics 2.5.1 Parametric Methods 2.5.2 Nonparametric Methods 2.5.3 Confidence Interval 2.5.4 Standard Error, Standard Error of the Mean, Standard Error of Proportion and Sampling Distribution 2.5.5 Significance Tests, Hypothesis, p-Value and z-Score 2.6 Normal Distribution Use in Geographical Analysis 2.7 Chapter Concluding Remarks Questions and Answers Lab 2 Exploratory Spatial Data Analysis (ESDA): Analyzing and Mapping Data 59 60 63 63 65 69 71 72 75 76 78 81 82 82 84 85 87 90 91 91 95 96 100 101 102 104 109 111 112
117
Contents vil Overall Progress Scope of the Analysis: Income and Expenses 117 117 Section A ArcGIS Exercise 2.1 ESDA Tools: Mapping and Analyzing the Distribution of 118 Income 118 Exercise 2.2 Bivariate Analysis: Analyzing Expenditures by Educational Attainment 131 Section В GeoDa Exercise 2.1 ESDA Tools: Mapping and Analyzing the Distribution of 136 Income 136 Exercise 2.2 Bivariate Analysis: Analyzing Expenditures by Educational Attainment 142 Analyzing Geographic Distributions and Point Patterns 147 Learning Objectives 3.1 Analyzing Geographic Distributions: Centrography 3.1.1 Mean Center 3.1.2 Median Center 3.1.3 Central Feature 3.1.4 Standard Distance 3.1.5 Standard Deviational Ellipse 3.1.6 Locational Outliers and Spatial Outliers 3.2 Analyzing Spatial Patterns: Point Pattern Analysis 3.2.1 Definitions: Spatial Process, Complete Spatial Randomness, First- and Second-Order Effects 3.2.2 Spatial Process 3.3 Point Pattern Analysis Methods 3.3.1 Nearest Neighbor Analysis 3.3.2 Ripley s К Function and the L FunctionTransformation 3.3.3 Kernel Density Function 3.4 Chapter Concluding Remarks Questions and Answers Lab 3 Spatial Statistics: Measuring Geographic Distributions Overall Progress Scope of the Analysis: Crime Analysis Exercise 3.1 Measuring Geographic Distributions 147 148 148 151 152 154 156 158 163 165 167 169 170 172 176 179 180 183 183 184 184 Exercise 3.2 Point Pattern Analysis 191 Exercise 3.3 Kernel Density Estimation 197 Exercise 3.4 Locational Outliers 203
viii Contents 4 Spatial Autocorrelation 207 Learning Objectives 4.1 Spatial Autocorrelation 4.2 Global Spatial Autocorrelation 4.2.1 Moran s / Index and Scatter Plot 4.2.2 Geary s C Index 4.2.3 General G-Statistic 4.3 Incremental Spatial Autocorrelation 4.4 Local Spatial Autocorrelation 4.4.1 Local Moran s I (Cluster and Outlier Analysis) 4.4.2 Optimized Outlier Analysis 4.4.3 Getis-Ord G,- and G* (Hot Spot Analysis) 207 208 211 211 216 217 219 222 222 226 227 4.4.4 Optimized Hot Spot Analysis Space-Time Correlation Analysis 4.5.1 Bivariate Moran s I for Space-TimeCorrelation 4.5.2 Differential Moran s / 4.5.3 Emerging Hot Spot Analysis 4.6 Multiple Comparisons Problem and Spatial Dependence 4.7 Chapter Concluding Remarks Questions and Answers Lab 4 Spatial Autocorrelation Overall Progress Scope of the Analysis 229 230 230 232 233 234 237 238 241 241 241 Section A ArcGIS Exercise 4.1 Global Spatial Autocorrelation 242 242 4.5 Exercise 4.2 Incremental Spatial Autocorrelation and Spatial Weights Matrix 246 Exercise 4.3 Cluster and Outlier Analysis (Anselin Local Moran’s /) 252 Exercise 4.4 Hot Spot Analysis (Getis-Ord Gil) and Optimized Hot Spot 5 Analysis 255 Exercise 4.5 Optimized Hot Spot Analysis for Crime Events 261 Section В GeoDa Exercises 4.1 and 4.2 Global Spatial Autocorrelation and Spatial Weights 265 Matrix 265 Exercise 4.3 Cluster and Outlier Analysis (Anselin Local Moran’s /) 270 Exercise 4.4 Hot Spot Analysis (Getis-Ord Gi*l) 273 Multivariate Data in Geography: Data Reduction and Clustering 275 275 276 Learning Objectives 5.1 Multivariate Data Analysis
Contents IjlT tanwiji·ii·n lt·r r^·rTt- Tnnir-T - 6 ГТ—n—ո—T»■—*—··ігт-щг-гп—гг- ¡X rrm—rr·-щ—г-н- ιί -ц-тгітімг~іmr urn n ՜ո՜՜որ՜՜՜ր՜ո՜ւււււաւ ՜՚ր тіпті~яітг ւո՜ւա՜՜ր՜՜ւ ■ игтгпі т і гп ~іп ■ ľ írni ılınılır ічitinmumm imn у 5.2 5.3 5.4 5.5 Principal Component Analysis (РСА) Factor Analysis (FA) Multidimensional Scaling (MDS) Cluster Analysis 5.5.1 Hierarchical Clustering 5.5.2 /c-Means Algorithm (Partitional Clustering) 5.6 Regionalization 5.6.1 SKATER Method 5.6.2 REDCAP Method 5.7 Density-Based Clustering: DBSCAN, HDBSCAN, OPTICS 5.8 Similarity Analysis: Cosine Similarity 5.9 Chapter Concluding Remarks Questions and Answers Lab 5 Multivariate Statistics: Clustering Overall Progress Scope of the Analysis 279 289 290 292 293 298 304 306 309 310 311 313 314 317 317 317 Section A ArcGIS Exercise 5.1 /c-Means Clustering 318 318 Exercise 5.2 Spatial Clustering (Regionalization) 329 Exercise 5.3 Similarity Analysis 332 Exercise 5.4 Synthesis 337 Section В GeoDa Exercise 5.1 /r-Means Clustering 345 345 Exercise 5.2 Spatial Clustering 348 Modeling Relationships: Regression and Geographically Weighted Regression 351 Learning Objectives 6.1 Simple Linear Regression 6.1.1 Simple Linear Regression Assumptions 6.1.2 Ordinary Least Squares (Intercept and Slope by OLS) 6.2 Multiple Linear Regression (MLR) 6.2.1 Multiple Regression Basics 6.2.2 Model Overfit: Selecting the Number of Variables by Defining a Functional Relationship 6.2.3 Missing Values 6.2.4 Outliers and Leverage Points 6.2.5 Dummy Variables 6.2.6 Methods for Entering Variables in MLR: Explanatory Analysis; Identifying
Causes and Effects 351 352 355 355 356 356 359 360 360 361 363
x Contents 6.3 7 Evaluating Linear Regression Results: Metrics, Tests and Plots 6.3.1 Multiple r 6.3.2 Variation and Coefficient of Determination R-Squared 6.3.3 Adjusted R-Squared 6.3.4 Predicted R-Squared 6.3.5 Standard Error (Deviation) of Regression (or Standard Errorof the Estimate) 6.3.6 F-Test of the Overall Significance 6.3.7 t-Statistic (Coefficients Test) 6.3.8 Wald Test (Coefficient s Test) 6.3.9 Standardized Coefficients (Beta) 6.3.10 Residuals, Residual Plots and Standardized Residuals 6.3.11 Influential Points: Outliers and High-Leverage Observations 6.4 Multiple Linear Regression Assumptions: Diagnose andFix 6.5 Multicollinearity 6.6 Worked Example: Simple and Multiple Linear Regression 6.7 Exploratory Regression 6.8 Geographically Weighted Regression 6.8.1 Spatial Kernel Types 6.8.2 Bandwidth 6.8.3 Interpreting GWR Results and Practical Guidelines 6.9 Chapter Concluding Remarks Questions and Answers Lab 6 OLS, Explanatory Regression, GWR Overall Progress Scope of the Analysis Exercise 6.1 Exploratory Regression 409 411 415 415 415 416 Exercise 6.2 OLS Regression 428 Exercise 6.3 GWR 437 Spatial Econometrics 451 Learning Objectives 7.1 Spatial Econometrics 7.2 Spatial Dependence: Spatial Regression Models and Diagnostics 7.2.1 Diagnostics for Spatial Dependence 7.2.2 Selecting between Spatial Lag or Spatial Error Model 7.2.3 Estimation Methods 451 451 365 365 365 369 370 371 373 374 375 376 378 381 383 387 391 400 403 405 406 406 453 454 457 459
Contents XI 7.3 Spatial Lag Model 7.3.1 Spatial Two-Stage Least Squares (S2SLS) 7.3.2 Maximum Likelihood 7.4 Spatial Error Model 7.5 Spatial Filtering 7.6 Spatial Heterogeneity: Spatial Regression Models 7.7 Spatial Regimes 7.8 Chapter Concluding Remarks Questions and Answers Lab 7 Spatial Econometrics Overall Progress Scope of the Analysis Exercise 7.1 OLS 459 462 466 467 469 470 471 474 474 477 477 477 478 Exercise 7.2 Spatial Error Model 487 Exercise 7.3 OLS with Spatial Regimes 491 Exercise 7.4 Spatial Error by Spatial Regimes 501 References Index 505 513
|
| adam_txt |
Contents Preface 1 page xiii Think Spatially: Basic Concepts of Spatial Analysis and Space Conceptualization Learning Objectives 1.1 Introduction: Spatial Analysis 1.2 Basic Definitions 1.3 Spatial Data: What Makes Them Special? 1.4 Conceptualization of Spatial Relationships 1.5 Distance Measure. 1.5.1 Fixed Distance Band (Sphere of Influence) 1.5.2 Distance Decay 1.6 Contiguity: Adjacency Matrix 1.6.1 Polygons Contiguity 1.6.2 Adjacency Matrix 1.7 Interaction 1.8 Neighborhood and Neighbors 1.8.1 k-Nearest Neighbors (k-NN) 1.8.2 Space-Time Window 1.8.3 Proximity Polygons 1.8.4 Delaunay Triangulation and Triangular Irregular Networks (TIN) 1.9 Spatial Weights and Row Standardization 1.10 Chapter Concluding Remarks Questions and Answers Lab 1 The Project: Spatial Analysis forReal Estate Market Investments Overall Progress Scope of Analysis Dataset Structure Guidelines 1 1 2 6 10 15 17 18 20 23 23 25 26 27 27 29 30 31 31 33 34 39 39 39 44 45 v
vi 2 Contents Section A ArcGIS Exercise 1.1 Getting to Know the Data and Study Region 45 45 Section В GeoDa Exercise 1.1 Getting to Know the Data and Study Region 52 52 Exploratory Spatial Data Analysis Tools and Statistics 59 Learning Objectives 2.1 Introduction in Exploratory Spatial Data Analysis, Descriptive Statistics, Inferential Statistics andSpatial Statistics 2.2 Simple ESDA Tools and Descriptive Statistics for Visualizing Spatial Data (Univariate Data) 2.2.1 Choropleth Maps 2.2.2 Frequency Distribution and Histograms 2.2.3 Measures of Center 2.2.4 Measures of Shape 2.2.5 Measures of Spread/Variability - Variation 2.2.6 Percentiles, Quartiles and Quantiles 2.2.7 Outliers 2.2.8 Boxplot 2.2.9 Normal QQ Plot 2.3 ESDA Tools and Descriptive Statistics for Analyzing Two or More Variables (Bivariate Analysis) 2.3.1 Scatter Plot 2.3.2 Scatter Plot Matrix 2.3.3 Covariance and Variance-Covariance Matrix 2.3.4 Correlation Coefficient 2.3.5 Pairwise Correlation 2.3.6 General QQ Plot 2.4 Rescaling Data 2.5 Inferential Statistics and Their Importance in Spatial Statistics 2.5.1 Parametric Methods 2.5.2 Nonparametric Methods 2.5.3 Confidence Interval 2.5.4 Standard Error, Standard Error of the Mean, Standard Error of Proportion and Sampling Distribution 2.5.5 Significance Tests, Hypothesis, p-Value and z-Score 2.6 Normal Distribution Use in Geographical Analysis 2.7 Chapter Concluding Remarks Questions and Answers Lab 2 Exploratory Spatial Data Analysis (ESDA): Analyzing and Mapping Data 59 60 63 63 65 69 71 72 75 76 78 81 82 82 84 85 87 90 91 91 95 96 100 101 102 104 109 111 112
117
Contents vil Overall Progress Scope of the Analysis: Income and Expenses 117 117 Section A ArcGIS Exercise 2.1 ESDA Tools: Mapping and Analyzing the Distribution of 118 Income 118 Exercise 2.2 Bivariate Analysis: Analyzing Expenditures by Educational Attainment 131 Section В GeoDa Exercise 2.1 ESDA Tools: Mapping and Analyzing the Distribution of 136 Income 136 Exercise 2.2 Bivariate Analysis: Analyzing Expenditures by Educational Attainment 142 Analyzing Geographic Distributions and Point Patterns 147 Learning Objectives 3.1 Analyzing Geographic Distributions: Centrography 3.1.1 Mean Center 3.1.2 Median Center 3.1.3 Central Feature 3.1.4 Standard Distance 3.1.5 Standard Deviational Ellipse 3.1.6 Locational Outliers and Spatial Outliers 3.2 Analyzing Spatial Patterns: Point Pattern Analysis 3.2.1 Definitions: Spatial Process, Complete Spatial Randomness, First- and Second-Order Effects 3.2.2 Spatial Process 3.3 Point Pattern Analysis Methods 3.3.1 Nearest Neighbor Analysis 3.3.2 Ripley's К Function and the L FunctionTransformation 3.3.3 Kernel Density Function 3.4 Chapter Concluding Remarks Questions and Answers Lab 3 Spatial Statistics: Measuring Geographic Distributions Overall Progress Scope of the Analysis: Crime Analysis Exercise 3.1 Measuring Geographic Distributions 147 148 148 151 152 154 156 158 163 165 167 169 170 172 176 179 180 183 183 184 184 Exercise 3.2 Point Pattern Analysis 191 Exercise 3.3 Kernel Density Estimation 197 Exercise 3.4 Locational Outliers 203
viii Contents 4 Spatial Autocorrelation 207 Learning Objectives 4.1 Spatial Autocorrelation 4.2 Global Spatial Autocorrelation 4.2.1 Moran's / Index and Scatter Plot 4.2.2 Geary's C Index 4.2.3 General G-Statistic 4.3 Incremental Spatial Autocorrelation 4.4 Local Spatial Autocorrelation 4.4.1 Local Moran's I (Cluster and Outlier Analysis) 4.4.2 Optimized Outlier Analysis 4.4.3 Getis-Ord G,- and G* (Hot Spot Analysis) 207 208 211 211 216 217 219 222 222 226 227 4.4.4 Optimized Hot Spot Analysis Space-Time Correlation Analysis 4.5.1 Bivariate Moran's I for Space-TimeCorrelation 4.5.2 Differential Moran's / 4.5.3 Emerging Hot Spot Analysis 4.6 Multiple Comparisons Problem and Spatial Dependence 4.7 Chapter Concluding Remarks Questions and Answers Lab 4 Spatial Autocorrelation Overall Progress Scope of the Analysis 229 230 230 232 233 234 237 238 241 241 241 Section A ArcGIS Exercise 4.1 Global Spatial Autocorrelation 242 242 4.5 Exercise 4.2 Incremental Spatial Autocorrelation and Spatial Weights Matrix 246 Exercise 4.3 Cluster and Outlier Analysis (Anselin Local Moran’s /) 252 Exercise 4.4 Hot Spot Analysis (Getis-Ord Gil) and Optimized Hot Spot 5 Analysis 255 Exercise 4.5 Optimized Hot Spot Analysis for Crime Events 261 Section В GeoDa Exercises 4.1 and 4.2 Global Spatial Autocorrelation and Spatial Weights 265 Matrix 265 Exercise 4.3 Cluster and Outlier Analysis (Anselin Local Moran’s /) 270 Exercise 4.4 Hot Spot Analysis (Getis-Ord Gi*l) 273 Multivariate Data in Geography: Data Reduction and Clustering 275 275 276 Learning Objectives 5.1 Multivariate Data Analysis
Contents IjlT'tanwiji·ii·n'lt·r'r^·rTt-'Tnnir-T""- 6 ГТ—n—ո—T»■—*—··ігт-щг-гп—гг- ¡X rrm—rr·-щ—г-н- ιί -ц-тгітімг~іmr urn n ՜ո՜՜որ՜՜՜ր՜ո՜ւււււաւ ՜՚ր тіпті~яітг ւո՜ւա՜՜ր՜՜ւ ■ игтгпі т і гп ~іп ■ ľ'írni ılınılır ічitinmumm imn у 5.2 5.3 5.4 5.5 Principal Component Analysis (РСА) Factor Analysis (FA) Multidimensional Scaling (MDS) Cluster Analysis 5.5.1 Hierarchical Clustering 5.5.2 /c-Means Algorithm (Partitional Clustering) 5.6 Regionalization 5.6.1 SKATER Method 5.6.2 REDCAP Method 5.7 Density-Based Clustering: DBSCAN, HDBSCAN, OPTICS 5.8 Similarity Analysis: Cosine Similarity 5.9 Chapter Concluding Remarks Questions and Answers Lab 5 Multivariate Statistics: Clustering Overall Progress Scope of the Analysis 279 289 290 292 293 298 304 306 309 310 311 313 314 317 317 317 Section A ArcGIS Exercise 5.1 /c-Means Clustering 318 318 Exercise 5.2 Spatial Clustering (Regionalization) 329 Exercise 5.3 Similarity Analysis 332 Exercise 5.4 Synthesis 337 Section В GeoDa Exercise 5.1 /r-Means Clustering 345 345 Exercise 5.2 Spatial Clustering 348 Modeling Relationships: Regression and Geographically Weighted Regression 351 Learning Objectives 6.1 Simple Linear Regression 6.1.1 Simple Linear Regression Assumptions 6.1.2 Ordinary Least Squares (Intercept and Slope by OLS) 6.2 Multiple Linear Regression (MLR) 6.2.1 Multiple Regression Basics 6.2.2 Model Overfit: Selecting the Number of Variables by Defining a Functional Relationship 6.2.3 Missing Values 6.2.4 Outliers and Leverage Points 6.2.5 Dummy Variables 6.2.6 Methods for Entering Variables in MLR: Explanatory Analysis; Identifying
Causes and Effects 351 352 355 355 356 356 359 360 360 361 363
x Contents 6.3 7 Evaluating Linear Regression Results: Metrics, Tests and Plots 6.3.1 Multiple r 6.3.2 Variation and Coefficient of Determination R-Squared 6.3.3 Adjusted R-Squared 6.3.4 Predicted R-Squared 6.3.5 Standard Error (Deviation) of Regression (or Standard Errorof the Estimate) 6.3.6 F-Test of the Overall Significance 6.3.7 t-Statistic (Coefficients' Test) 6.3.8 Wald Test (Coefficient's Test) 6.3.9 Standardized Coefficients (Beta) 6.3.10 Residuals, Residual Plots and Standardized Residuals 6.3.11 Influential Points: Outliers and High-Leverage Observations 6.4 Multiple Linear Regression Assumptions: Diagnose andFix 6.5 Multicollinearity 6.6 Worked Example: Simple and Multiple Linear Regression 6.7 Exploratory Regression 6.8 Geographically Weighted Regression 6.8.1 Spatial Kernel Types 6.8.2 Bandwidth 6.8.3 Interpreting GWR Results and Practical Guidelines 6.9 Chapter Concluding Remarks Questions and Answers Lab 6 OLS, Explanatory Regression, GWR Overall Progress Scope of the Analysis Exercise 6.1 Exploratory Regression 409 411 415 415 415 416 Exercise 6.2 OLS Regression 428 Exercise 6.3 GWR 437 Spatial Econometrics 451 Learning Objectives 7.1 Spatial Econometrics 7.2 Spatial Dependence: Spatial Regression Models and Diagnostics 7.2.1 Diagnostics for Spatial Dependence 7.2.2 Selecting between Spatial Lag or Spatial Error Model 7.2.3 Estimation Methods 451 451 365 365 365 369 370 371 373 374 375 376 378 381 383 387 391 400 403 405 406 406 453 454 457 459
Contents XI 7.3 Spatial Lag Model 7.3.1 Spatial Two-Stage Least Squares (S2SLS) 7.3.2 Maximum Likelihood 7.4 Spatial Error Model 7.5 Spatial Filtering 7.6 Spatial Heterogeneity: Spatial Regression Models 7.7 Spatial Regimes 7.8 Chapter Concluding Remarks Questions and Answers Lab 7 Spatial Econometrics Overall Progress Scope of the Analysis Exercise 7.1 OLS 459 462 466 467 469 470 471 474 474 477 477 477 478 Exercise 7.2 Spatial Error Model 487 Exercise 7.3 OLS with Spatial Regimes 491 Exercise 7.4 Spatial Error by Spatial Regimes 501 References Index 505 513 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Grekousis, George ca. 20./21. Jh |
| author_GND | (DE-588)1212127145 |
| author_facet | Grekousis, George ca. 20./21. Jh |
| author_role | aut |
| author_sort | Grekousis, George ca. 20./21. Jh |
| author_variant | g g gg |
| building | Verbundindex |
| bvnumber | BV046790882 |
| classification_rvk | RB 10104 QY 000 |
| ctrlnum | (OCoLC)1161979083 (DE-599)KXP1693342693 |
| dewey-full | 910.285 |
| dewey-hundreds | 900 - History & geography |
| dewey-ones | 910 - Geography and travel |
| dewey-raw | 910.285 |
| dewey-search | 910.285 |
| dewey-sort | 3910.285 |
| dewey-tens | 910 - Geography and travel |
| discipline | Wirtschaftswissenschaften Geographie |
| discipline_str_mv | Wirtschaftswissenschaften Geographie |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02317nam a2200529 c 4500</leader><controlfield tag="001">BV046790882</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210510 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">200702s2020 xxka||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108498982</subfield><subfield code="c">hbk.</subfield><subfield code="9">978-1-108-49898-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108712934</subfield><subfield code="c">pbk.</subfield><subfield code="9">978-1-108-71293-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1161979083</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1693342693</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxk</subfield><subfield code="c">XA-GB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">910.285</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">RB 10104</subfield><subfield code="0">(DE-625)142220:12617</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QY 000</subfield><subfield code="0">(DE-625)142214:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Grekousis, George</subfield><subfield code="d">ca. 20./21. Jh.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1212127145</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Spatial analysis methods and practice</subfield><subfield code="b">describe, explore, explain through GIS</subfield><subfield code="c">George Grekousis (Sun Yat-Sen University (SYSU))</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiv, 518 Seiten</subfield><subfield code="b">Illustrationen, Diagramme, Karten (teilweise farbig)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Geoinformationssystem</subfield><subfield code="0">(DE-588)4261642-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Raumdaten</subfield><subfield code="0">(DE-588)4206012-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Räumliche Statistik</subfield><subfield code="0">(DE-588)4386767-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Raumordnung</subfield><subfield code="0">(DE-588)4048590-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Spatial analysis (Statistics)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Geographic information systems</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Geoinformationssystem</subfield><subfield code="0">(DE-588)4261642-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Räumliche Statistik</subfield><subfield code="0">(DE-588)4386767-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Raumdaten</subfield><subfield code="0">(DE-588)4206012-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Geoinformationssystem</subfield><subfield code="0">(DE-588)4261642-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Raumordnung</subfield><subfield code="0">(DE-588)4048590-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-108-61452-8</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Regensburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032199817&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032199817</subfield></datafield></record></collection> |
| id | DE-604.BV046790882 |
| illustrated | Illustrated |
| index_date | 2024-07-03T14:53:01Z |
| indexdate | 2024-07-10T08:53:55Z |
| institution | BVB |
| isbn | 9781108498982 9781108712934 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032199817 |
| oclc_num | 1161979083 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-11 DE-83 |
| owner_facet | DE-355 DE-BY-UBR DE-11 DE-83 |
| physical | xiv, 518 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Grekousis, George ca. 20./21. Jh. Verfasser (DE-588)1212127145 aut Spatial analysis methods and practice describe, explore, explain through GIS George Grekousis (Sun Yat-Sen University (SYSU)) Cambridge Cambridge University Press 2020 xiv, 518 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf Raumdaten (DE-588)4206012-6 gnd rswk-swf Räumliche Statistik (DE-588)4386767-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Raumordnung (DE-588)4048590-0 gnd rswk-swf Spatial analysis (Statistics) Geographic information systems Datenanalyse (DE-588)4123037-1 s Geoinformationssystem (DE-588)4261642-6 s Räumliche Statistik (DE-588)4386767-4 s Raumdaten (DE-588)4206012-6 s DE-604 Raumordnung (DE-588)4048590-0 s Erscheint auch als Online-Ausgabe 978-1-108-61452-8 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=032199817&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Grekousis, George ca. 20./21. Jh Spatial analysis methods and practice describe, explore, explain through GIS Geoinformationssystem (DE-588)4261642-6 gnd Raumdaten (DE-588)4206012-6 gnd Räumliche Statistik (DE-588)4386767-4 gnd Datenanalyse (DE-588)4123037-1 gnd Raumordnung (DE-588)4048590-0 gnd |
| subject_GND | (DE-588)4261642-6 (DE-588)4206012-6 (DE-588)4386767-4 (DE-588)4123037-1 (DE-588)4048590-0 |
| title | Spatial analysis methods and practice describe, explore, explain through GIS |
| title_auth | Spatial analysis methods and practice describe, explore, explain through GIS |
| title_exact_search | Spatial analysis methods and practice describe, explore, explain through GIS |
| title_exact_search_txtP | Spatial analysis methods and practice describe, explore, explain through GIS |
| title_full | Spatial analysis methods and practice describe, explore, explain through GIS George Grekousis (Sun Yat-Sen University (SYSU)) |
| title_fullStr | Spatial analysis methods and practice describe, explore, explain through GIS George Grekousis (Sun Yat-Sen University (SYSU)) |
| title_full_unstemmed | Spatial analysis methods and practice describe, explore, explain through GIS George Grekousis (Sun Yat-Sen University (SYSU)) |
| title_short | Spatial analysis methods and practice |
| title_sort | spatial analysis methods and practice describe explore explain through gis |
| title_sub | describe, explore, explain through GIS |
| topic | Geoinformationssystem (DE-588)4261642-6 gnd Raumdaten (DE-588)4206012-6 gnd Räumliche Statistik (DE-588)4386767-4 gnd Datenanalyse (DE-588)4123037-1 gnd Raumordnung (DE-588)4048590-0 gnd |
| topic_facet | Geoinformationssystem Raumdaten Räumliche Statistik Datenanalyse Raumordnung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032199817&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT grekousisgeorge spatialanalysismethodsandpracticedescribeexploreexplainthroughgis |