Statistical analysis of geographic information with ArcView GIS and ArcGIS:
Statistical Analysis and Modeling of Geographic Information with ArcView GIS is an update to Lee and Wong's Statistical Analysis with ArcView GIS, featuring expanded coverage of classical statistical methods, probability and statistical testing, new student exercises to facilitate classroom use...
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| Vorheriger Titel: | Lee, Jay Statistical analysis with ArcView GIS |
|---|---|
| Hauptverfasser: | , |
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2005
|
| Schlagworte: | |
| Online-Zugang: | Table of contents Inhaltsverzeichnis |
| Zusammenfassung: | Statistical Analysis and Modeling of Geographic Information with ArcView GIS is an update to Lee and Wong's Statistical Analysis with ArcView GIS, featuring expanded coverage of classical statistical methods, probability and statistical testing, new student exercises to facilitate classroom use, new exercises featuring interactive ArcView Avenue scripts, and a new overview of compatible spatial analytical functions in ArcGIS 9.0. (Midwest) |
| Beschreibung: | XVII, 441 S. Ill., graph. Darst., Kt. 1 CD-ROM (12 cm) |
| ISBN: | 9780471468998 0471468991 |
Internformat
MARC
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| 245 | 1 | 0 | |a Statistical analysis of geographic information with ArcView GIS and ArcGIS |c David Wong ; Jay Lee |
| 264 | 1 | |a Hoboken, NJ |b Wiley |c 2005 | |
| 300 | |a XVII, 441 S. |b Ill., graph. Darst., Kt. |e 1 CD-ROM (12 cm) | ||
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| 520 | 3 | |a Statistical Analysis and Modeling of Geographic Information with ArcView GIS is an update to Lee and Wong's Statistical Analysis with ArcView GIS, featuring expanded coverage of classical statistical methods, probability and statistical testing, new student exercises to facilitate classroom use, new exercises featuring interactive ArcView Avenue scripts, and a new overview of compatible spatial analytical functions in ArcGIS 9.0. (Midwest) | |
| 630 | 0 | 4 | |a ArcView |
| 650 | 4 | |a Analyse spatiale (Statistique) | |
| 650 | 4 | |a Systèmes d'information géographique | |
| 650 | 4 | |a Geographic information systems | |
| 650 | 4 | |a Spatial analysis (Statistics) | |
| 650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a ArcView |0 (DE-588)4413012-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
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| 780 | 0 | 0 | |i Frühere Ausg. u.d.T. |a Lee, Jay |t Statistical analysis with ArcView GIS |
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Datensatz im Suchindex
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| adam_text | CONTENTS
PREFACE xiii
ACKNOWLEDGMENTS xvii
1 INTRODUCTION 1
1.1 Why Statistics and Sampling? / 1
1.2 What Are Special about Spatial Data? / 6
1.2.1 MAUP—The Modifiable Areal Unit Problem / 7
1.2.2 Spatial Autocorrelation / 9
1.3 Spatial Data and the Need for Spatial Analysis/Statistics / 11
1.4 Fundamentals of Spatial Analysis and Statistics / 13
1.4.1 Scales of Measurement / 13
1.4.2 Mathematical Notations / 22
1.4.3 Scale, Extent, and Projection / 25
1.5 Arc View Notes—Data Model and Examples / 28
1.5.1 Data Model Used in Arc View GIS / 30
1.5.2 Random Sampling—the Generic Way / 30
1.5.3 Random and Systematic Point Sampling—an Extended
Function / 35
References / 41
Exercises / 42
vii
Viii CONTENTS
PART I CLASSICAL STATISTICS 45
2 DISTRIBUTION DESCRIPTORS: ONE VARIABLE (UNIVARIATE) 47
2.1 Measures of Central Tendency / 47
2.1.1 Mode / 48
2.1.2 Median / 50
2.1.3 Mean / 52
2.1.4 Grouped or Weighted Mean / 55
2.2 Measures of Dispersion / 56
2.2.1 Range, Minimum, Maximum, and Percentiles / 57
2.2.2 Mean Deviation / 58
2.2.3 Variance and Standard Deviation / 60
2.2.4 Weighted Variance and Weighted Standard
Deviation / 63
2.2.5 Coefficient of Variation / 65
2.3 ArcView Examples / 65
2.3.1 Descriptive Statistics / 66
2.4 Higher Moment Statistics / 69
2.4.1 Skewness and Kurtosis / 69
2.5 ArcView Examples / 74
2.5.1 Additional Statistics / 81
2.6 Application Example / 84
2.7 Summary / 91
References / 91
Exercises / 91
3 RELATIONSHIP DESCRIPTORS: TWO VARIABLES (BIVARIATE) 93
3.1 Correlation Analysis / 94
3.2 Correlation: Nominal Scale / 97
3.2.1 Nominal Scale and Binary: Phi Coefficient / 97
3.2.2 Nominal Scale and Polychotomous: Chi Square
Statistic / 100
3.3 Correlation: Ordinal Scale / 103
3.4 Correlation: Interval/Ratio Scale / 105
3.5 Trend Analysis / 108
3.5.1 Simple Linear Regression Models / 108
3.5.2 Coefficient of Determination /111
3.5.3 Empirical Examples / 112
3.6 ArcView Notes / 115
CONTENTS iX
3.7 Application Examples / 122
Reference / 124
Exercises / 124
4 HYPOTHESIS TESTERS 127
4.1 Probability Concepts / 128
4.2 Probability Functions / 130
4.2.1 Binomial Distribution / 131
4.2.2 Poisson Distribution / 133
4.2.3 Normal Distribution / 136
4.2.4 ArcView Notes / 140
4.3 Central Limit Theorem and Confidence Intervals / 141
4.4 Hypothesis Testing / 143
4.4.1 ArcView Notes / 146
4.4.2 Types of Error / 146
4.5 Parametric Test Statistics / 146
4.5.1 Difference in Variances / 147
4.5.2 ArcView Note / 148
4.6 Difference in Means / 153
4.6.1 Small Sample Size / 153
4.6.2 Large Sample Size / 156
4.6.3 ArcView Note / 157
4.7 Difference Between a Mean and a Fixed Value / 163
4.7.1 ArcView Note / 164
4.8 Significance of Pearson s Correlation Coefficient / 164
4.8.1 ArcView Note / 165
4.9 Significance of Regression Parameters / 168
4.9.1 ArcView Note / 169
4.10 Testing Nonparametric Statistics / 172
4.10.1 Chi Square Statistic / 172
4.10.2 ArcView Note / 173
4.10.3 Spearman s Rank Correlation Coefficient / 175
4.10.4 ArcView Note / 176
4.10.5 Kolmogorov Smirnov Test / 176
4.10.6 ArcView Note / 178
4.11 Summary / 178
References / 179
Exercises / 179
X CONTENTS
PART II SPATIAL STATISTICS 183
5 POINT PATTERN DESCRIPTORS 185
5.1 The Nature of Point Features / 185
5.2 Central Tendency of Point Distributions / 187
5.2.1 Mean Center / 189
5.2.2 Weighted Mean Center / 192
5.2.3 Median Center / 195
5.3 Dispersion and Orientation of Point Distributions / 197
5.3.1 Standard Distance / 198
5.3.2 Standard Deviational Ellipses / 203
5.4 Arc View Notes / 208
5.5 Application Examples / 214
References / 215
Exercises / 216
6 POINT PATTERN ANALYZERS 218
6.1 Scale and Extent / 219
6.2 Quadrat Analysis / 221
6.2.1 General Concepts in Quadrat Analysis / 222
6.2.2 Comparing Observed and Expected Distributions Using
the K S test / 226
6.2.3 Comparing Observed and Expected Patterns Using the
Variance Mean Ratio / 232
6.3 Ordered Neighbor Analysis / 237
6.3.1 Nearest Neighbor Statistic / 239
6.3.2 Testing for Pattern Using the Nearest Neighbor
Statistic / 243
6.3.3 Higher Order Neighbor Statistics / 246
6.3.4 Boundary Adjustments of the Nearest Neighbor
Statistics / 248
6.4 /r Function / 253
6.5 Spatial Autocorrelation of Points / 260
6.5.1 Measures for Spatial Autocorrelation / 261
6.5.2 Significance Testing of Spatial Autocorrelation
Measures / 264
6.6 Application Examples / 270
References / 275
Exercises / 277
CONTENTS Xi
7 LINE PATTERN ANALYZERS 280
7.1 The Nature of Linear Features: Vectors and Networks / 280
7.2 Characteristics and Attributes of Linear Features / 283
7.2.1 Geometric Characteristics of Linear Features / 283
7.2.2 Spatial Attributes of Linear Features: Length / 284
7.2.3 Spatial Attributes of Linear Features: Orientation and
Direction / 286
7.2.4 ArcView Example: Linear Attributes / 287
7.3 Directional Statistics / 289
7.3.1 Exploring Statistics for Liner Features / 290
7.3.2 Directional Mean / 294
7.3.3 Circular Variance / 299
7.3.4 ArcView Example: Directional Statistics / 302
7.4 Network Analysis / 304
7.4.1 Spatial Attribute of Network Features: Connectivity or
Topology / 304
7.4.2 Assessing Connectivity Level / 306
7.4.3 Evaluating Accessibility / 309
7.4.4 ArcView Example: Network Analysis / 312
7.5 Application Examples / 314
7.5.1 Length Attribute Analysis of Linear Features / 315
7.5.2 Application Example for Directional Statistics / 317
7.5.3 Application Example for Network Analysis / 319
References / 324
Exercises / 324
8 POLYGON PATTERN ANALYZERS 327
8.1 Introduction / 327
8.2 Spatial Relationships / 328
8.3 Spatial Dependency / 330
8.4 Spatial Weights Matrices / 334
8.4.1 Neighborhood Definitions / 335
8.4.2 Binary Connectivity Matrix / 336
8.4.3 Stochastic or Row Standardized Weights Matrix / 339
8.4.4 Centroid Distances / 341
8.4.5 Nearest Distances / 343
8.4.6 ArcView Example: Spatial Weights Matrices / 345
8.5 Spatial Autocorrelation Statistics and Notations / 349
|
| adam_txt |
CONTENTS
PREFACE xiii
ACKNOWLEDGMENTS xvii
1 INTRODUCTION 1
1.1 Why Statistics and Sampling? / 1
1.2 What Are Special about Spatial Data? / 6
1.2.1 MAUP—The Modifiable Areal Unit Problem / 7
1.2.2 Spatial Autocorrelation / 9
1.3 Spatial Data and the Need for Spatial Analysis/Statistics / 11
1.4 Fundamentals of Spatial Analysis and Statistics / 13
1.4.1 Scales of Measurement / 13
1.4.2 Mathematical Notations / 22
1.4.3 Scale, Extent, and Projection / 25
1.5 Arc View Notes—Data Model and Examples / 28
1.5.1 Data Model Used in Arc View GIS / 30
1.5.2 Random Sampling—the Generic Way / 30
1.5.3 Random and Systematic Point Sampling—an Extended
Function / 35
References / 41
Exercises / 42
vii
Viii CONTENTS
PART I CLASSICAL STATISTICS 45
2 DISTRIBUTION DESCRIPTORS: ONE VARIABLE (UNIVARIATE) 47
2.1 Measures of Central Tendency / 47
2.1.1 Mode / 48
2.1.2 Median / 50
2.1.3 Mean / 52
2.1.4 Grouped or Weighted Mean / 55
2.2 Measures of Dispersion / 56
2.2.1 Range, Minimum, Maximum, and Percentiles / 57
2.2.2 Mean Deviation / 58
2.2.3 Variance and Standard Deviation / 60
2.2.4 Weighted Variance and Weighted Standard
Deviation / 63
2.2.5 Coefficient of Variation / 65
2.3 ArcView Examples / 65
2.3.1 Descriptive Statistics / 66
2.4 Higher Moment Statistics / 69
2.4.1 Skewness and Kurtosis / 69
2.5 ArcView Examples / 74
2.5.1 Additional Statistics / 81
2.6 Application Example / 84
2.7 Summary / 91
References / 91
Exercises / 91
3 RELATIONSHIP DESCRIPTORS: TWO VARIABLES (BIVARIATE) 93
3.1 Correlation Analysis / 94
3.2 Correlation: Nominal Scale / 97
3.2.1 Nominal Scale and Binary: Phi Coefficient / 97
3.2.2 Nominal Scale and Polychotomous: Chi Square
Statistic / 100
3.3 Correlation: Ordinal Scale / 103
3.4 Correlation: Interval/Ratio Scale / 105
3.5 Trend Analysis / 108
3.5.1 Simple Linear Regression Models / 108
3.5.2 Coefficient of Determination /111
3.5.3 Empirical Examples / 112
3.6 ArcView Notes / 115
CONTENTS iX
3.7 Application Examples / 122
Reference / 124
Exercises / 124
4 HYPOTHESIS TESTERS 127
4.1 Probability Concepts / 128
4.2 Probability Functions / 130
4.2.1 Binomial Distribution / 131
4.2.2 Poisson Distribution / 133
4.2.3 Normal Distribution / 136
4.2.4 ArcView Notes / 140
4.3 Central Limit Theorem and Confidence Intervals / 141
4.4 Hypothesis Testing / 143
4.4.1 ArcView Notes / 146
4.4.2 Types of Error / 146
4.5 Parametric Test Statistics / 146
4.5.1 Difference in Variances / 147
4.5.2 ArcView Note / 148
4.6 Difference in Means / 153
4.6.1 Small Sample Size / 153
4.6.2 Large Sample Size / 156
4.6.3 ArcView Note / 157
4.7 Difference Between a Mean and a Fixed Value / 163
4.7.1 ArcView Note / 164
4.8 Significance of Pearson's Correlation Coefficient / 164
4.8.1 ArcView Note / 165
4.9 Significance of Regression Parameters / 168
4.9.1 ArcView Note / 169
4.10 Testing Nonparametric Statistics / 172
4.10.1 Chi Square Statistic / 172
4.10.2 ArcView Note / 173
4.10.3 Spearman's Rank Correlation Coefficient / 175
4.10.4 ArcView Note / 176
4.10.5 Kolmogorov Smirnov Test / 176
4.10.6 ArcView Note / 178
4.11 Summary / 178
References / 179
Exercises / 179
X CONTENTS
PART II SPATIAL STATISTICS 183
5 POINT PATTERN DESCRIPTORS 185
5.1 The Nature of Point Features / 185
5.2 Central Tendency of Point Distributions / 187
5.2.1 Mean Center / 189
5.2.2 Weighted Mean Center / 192
5.2.3 Median Center / 195
5.3 Dispersion and Orientation of Point Distributions / 197
5.3.1 Standard Distance / 198
5.3.2 Standard Deviational Ellipses / 203
5.4 Arc View Notes / 208
5.5 Application Examples / 214
References / 215
Exercises / 216
6 POINT PATTERN ANALYZERS 218
6.1 Scale and Extent / 219
6.2 Quadrat Analysis / 221
6.2.1 General Concepts in Quadrat Analysis / 222
6.2.2 Comparing Observed and Expected Distributions Using
the K S test / 226
6.2.3 Comparing Observed and Expected Patterns Using the
Variance Mean Ratio / 232
6.3 Ordered Neighbor Analysis / 237
6.3.1 Nearest Neighbor Statistic / 239
6.3.2 Testing for Pattern Using the Nearest Neighbor
Statistic / 243
6.3.3 Higher Order Neighbor Statistics / 246
6.3.4 Boundary Adjustments of the Nearest Neighbor
Statistics / 248
6.4 /r Function / 253
6.5 Spatial Autocorrelation of Points / 260
6.5.1 Measures for Spatial Autocorrelation / 261
6.5.2 Significance Testing of Spatial Autocorrelation
Measures / 264
6.6 Application Examples / 270
References / 275
Exercises / 277
CONTENTS Xi
7 LINE PATTERN ANALYZERS 280
7.1 The Nature of Linear Features: Vectors and Networks / 280
7.2 Characteristics and Attributes of Linear Features / 283
7.2.1 Geometric Characteristics of Linear Features / 283
7.2.2 Spatial Attributes of Linear Features: Length / 284
7.2.3 Spatial Attributes of Linear Features: Orientation and
Direction / 286
7.2.4 ArcView Example: Linear Attributes / 287
7.3 Directional Statistics / 289
7.3.1 Exploring Statistics for Liner Features / 290
7.3.2 Directional Mean / 294
7.3.3 Circular Variance / 299
7.3.4 ArcView Example: Directional Statistics / 302
7.4 Network Analysis / 304
7.4.1 Spatial Attribute of Network Features: Connectivity or
Topology / 304
7.4.2 Assessing Connectivity Level / 306
7.4.3 Evaluating Accessibility / 309
7.4.4 ArcView Example: Network Analysis / 312
7.5 Application Examples / 314
7.5.1 Length Attribute Analysis of Linear Features / 315
7.5.2 Application Example for Directional Statistics / 317
7.5.3 Application Example for Network Analysis / 319
References / 324
Exercises / 324
8 POLYGON PATTERN ANALYZERS 327
8.1 Introduction / 327
8.2 Spatial Relationships / 328
8.3 Spatial Dependency / 330
8.4 Spatial Weights Matrices / 334
8.4.1 Neighborhood Definitions / 335
8.4.2 Binary Connectivity Matrix / 336
8.4.3 Stochastic or Row Standardized Weights Matrix / 339
8.4.4 Centroid Distances / 341
8.4.5 Nearest Distances / 343
8.4.6 ArcView Example: Spatial Weights Matrices / 345
8.5 Spatial Autocorrelation Statistics and Notations / 349 |
| any_adam_object | 1 |
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| author | Wong, David W. S. Lee, Jay |
| author_facet | Wong, David W. S. Lee, Jay |
| author_role | aut aut |
| author_sort | Wong, David W. S. |
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| building | Verbundindex |
| bvnumber | BV020867784 |
| callnumber-first | G - Geography, Anthropology, Recreation |
| callnumber-label | G70 |
| callnumber-raw | G70.212 |
| callnumber-search | G70.212 |
| callnumber-sort | G 270.212 |
| callnumber-subject | G - General Geography |
| classification_rvk | RB 10038 |
| ctrlnum | (OCoLC)154664936 (DE-599)BVBBV020867784 |
| 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 3285 |
| dewey-tens | 910 - Geography and travel |
| discipline | Geographie |
| discipline_str_mv | Geographie |
| format | Book |
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| id | DE-604.BV020867784 |
| illustrated | Illustrated |
| index_date | 2024-07-02T13:25:00Z |
| indexdate | 2024-07-09T20:27:03Z |
| institution | BVB |
| isbn | 9780471468998 0471468991 |
| language | English |
| lccn | 2005005178 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014189580 |
| oclc_num | 154664936 |
| open_access_boolean | |
| owner | DE-20 DE-634 DE-188 DE-B768 |
| owner_facet | DE-20 DE-634 DE-188 DE-B768 |
| physical | XVII, 441 S. Ill., graph. Darst., Kt. 1 CD-ROM (12 cm) |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Wiley |
| record_format | marc |
| spelling | Wong, David W. S. Verfasser aut Statistical analysis of geographic information with ArcView GIS and ArcGIS David Wong ; Jay Lee Hoboken, NJ Wiley 2005 XVII, 441 S. Ill., graph. Darst., Kt. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Statistical Analysis and Modeling of Geographic Information with ArcView GIS is an update to Lee and Wong's Statistical Analysis with ArcView GIS, featuring expanded coverage of classical statistical methods, probability and statistical testing, new student exercises to facilitate classroom use, new exercises featuring interactive ArcView Avenue scripts, and a new overview of compatible spatial analytical functions in ArcGIS 9.0. (Midwest) ArcView Analyse spatiale (Statistique) Systèmes d'information géographique Geographic information systems Spatial analysis (Statistics) Statistik (DE-588)4056995-0 gnd rswk-swf ArcView (DE-588)4413012-0 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf ArcView (DE-588)4413012-0 s Datenanalyse (DE-588)4123037-1 s DE-604 Geoinformationssystem (DE-588)4261642-6 s Statistik (DE-588)4056995-0 s Lee, Jay Verfasser aut Frühere Ausg. u.d.T. Lee, Jay Statistical analysis with ArcView GIS http://www.loc.gov/catdir/toc/ecip058/2005005178.html Table of contents HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014189580&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wong, David W. S. Lee, Jay Statistical analysis of geographic information with ArcView GIS and ArcGIS ArcView Analyse spatiale (Statistique) Systèmes d'information géographique Geographic information systems Spatial analysis (Statistics) Statistik (DE-588)4056995-0 gnd ArcView (DE-588)4413012-0 gnd Datenanalyse (DE-588)4123037-1 gnd Geoinformationssystem (DE-588)4261642-6 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4413012-0 (DE-588)4123037-1 (DE-588)4261642-6 |
| title | Statistical analysis of geographic information with ArcView GIS and ArcGIS |
| title_auth | Statistical analysis of geographic information with ArcView GIS and ArcGIS |
| title_exact_search | Statistical analysis of geographic information with ArcView GIS and ArcGIS |
| title_exact_search_txtP | Statistical analysis of geographic information with ArcView GIS and ArcGIS |
| title_full | Statistical analysis of geographic information with ArcView GIS and ArcGIS David Wong ; Jay Lee |
| title_fullStr | Statistical analysis of geographic information with ArcView GIS and ArcGIS David Wong ; Jay Lee |
| title_full_unstemmed | Statistical analysis of geographic information with ArcView GIS and ArcGIS David Wong ; Jay Lee |
| title_old | Lee, Jay Statistical analysis with ArcView GIS |
| title_short | Statistical analysis of geographic information with ArcView GIS and ArcGIS |
| title_sort | statistical analysis of geographic information with arcview gis and arcgis |
| topic | ArcView Analyse spatiale (Statistique) Systèmes d'information géographique Geographic information systems Spatial analysis (Statistics) Statistik (DE-588)4056995-0 gnd ArcView (DE-588)4413012-0 gnd Datenanalyse (DE-588)4123037-1 gnd Geoinformationssystem (DE-588)4261642-6 gnd |
| topic_facet | ArcView Analyse spatiale (Statistique) Systèmes d'information géographique Geographic information systems Spatial analysis (Statistics) Statistik Datenanalyse Geoinformationssystem |
| url | http://www.loc.gov/catdir/toc/ecip058/2005005178.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014189580&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT wongdavidws statisticalanalysisofgeographicinformationwitharcviewgisandarcgis AT leejay statisticalanalysisofgeographicinformationwitharcviewgisandarcgis |