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Cover image for Regional and urban GIS : a decision support approach
Title:
Regional and urban GIS : a decision support approach
Personal Author:
Publication Information:
New York : Guilford Press, c2010
Physical Description:
xvi, 299 p. : ill. (some col.), maps (some col.) ; 26 cm.
ISBN:
9781606233368
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30000010237385 G70.212 N94 2010 Open Access Book Book
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Summary

Summary

This unique text shows students and professionals how geographic information systems (GIS) can guide decision making about complex community and environmental problems. The authors' step-by-step introduction to GIS-based decision analysis methods and techniques covers important urban and regional issues (land, transportation, and water resource management) and decision processes (planning, improvement programming, and implementation). Real-world case studies demonstrate how GIS-based decision support works in a variety of contexts, with a special focus on community and regional sustainability management. Ideal for course use, the book reinforces key concepts with end-of-chapter review questions; illustrations include 18 color plates.


Author Notes

Timothy L. Nyerges is Professor of Geography and Affiliate Professor of the Water Center at the University of Washington.
Piotr Jankowski is Professor of Geography and Co-Director of the Center for Earth Systems Analysis Reseatch at San Diego State University.


Table of Contents

List of Tables, Figures, and Platesp. xiii
Part I Situating GIS-Based Decision Support
Chapter 1 introduction: Need for Geographic Information Systems in Decision Supportp. 3
1.1 Perspectives on GIS: A Decision Support Approachp. 5
1.1.1 GISystemsp. 5
1.1.2 GISciencep. 6
1.1.3 GIServicesp. 7
1.1.4 GIS as Decision Support Systemsp. 7
1.2 Decision Support in Land, Transportation, and Water Resource Managementp. 8
1.3 Overview of the Bookp. 11
1.4 Summaryp. 12
1.5 Review Questionsp. 13
Chapter 2 GIS in Decision Support Situationsp. 15
2.1 Conventional Approaches to Decision Support Situationsp. 15
2.1.1 Planning-Focused Decision Situationsp. 16
2.1.2 Improvement Programming-Focused Decision Situationsp. 19
2.1.3 Implementation-Focused Decision Situationsp. 20
2.2 Growth Management around the United Statesp. 23
2.3 Comparing Growth Management and Sustainability Managementp. 28
2.4 Integrated Perspectives on Planning, Programming, and Implementation Decision Supportp. 31
2.5 Summaryp. 35
2.6 Review Questionsp. 36
Chapter 3 GIS Decision Support Methods and Workflowp. 38
3.1 Overview of GIS Capabilitiesp. 39
3.1.1 Geocoding Toolsp. 40
3.1.2 Data Management Toolsp. 41
3.1.3 Map Visualization Toolsp. 41
3.1.4 Feature Analysis Toolsp. 42
3.1.5 Grid Analysis Toolsp. 42
3.1.6 Network Analysis Toolsp. 43
3.2 Workflow in GIS Projectsp. 43
3.2.1 Basic Workflow for a GIS Projectp. 44
3.2.2 Nuanced Worfeflow for a GIS Projectp. 48
3.2.3 Synthesizing Basic and Nuanced Workflowsp. 61
3.3 Summaryp. 65
3.4 Review Questionsp. 65
Chapter 4 GIS-Based Decision Situation Assessmentp. 67
4.1 Characterizing Complex Decision Problemsp. 67
4.2 Decision Situation Assessment for a GIS Projectp. 70
4.2.1 Decision Situation Assessment Using a General Approachp. 72
4.2.2 Decision Situation Assessment by Phasesp. 74
4.2.3 Decision Situation Assessment by Constructs within a Phasep. 75
4.2.4 Decision Situation Assessment by Phases-Constructs-Asgectsp. 78
4.3 Summaryp. 84
4.4 Review Questionsp. 85
Part II Fundamentals of GIS Data and Analysis for Decision Support
Chapter 5 Making Choices about Geospatial Database Developmentp. 89
5.1 Data, lnformation, Evidence, and Knowledge: A Comparisonp. 89
5.2 Data Models: The Core of GIS Data Managementp. 91
5.2.1 Conceptual Data Modelsp. 91
5.2.2 Logical Data Modelsp. 95
5.2.3 Physical Data Modelsp. 100
5.3 Database Design Activity for Green County Functional Planningp. 101
5.3.1 Conceptual Design of a Database Modelp. 103
5.3.2 Logical Design of a Database Modelp. 110
5.3.3 Physical Design ofaDatabase Modelp. 111
5.4 Summaryp. 112
5.5 Review Questionsp. 114
Chapter 6 Fundamentals of GIS-Based Data Analysis for Decision Supportp. 115
6.1 Information Needs Motivate Data Development and Data Operationsp. 116
6.2 Framework for Organizing and Selecting GIS Data Analysis Operationsp. 117
6.3 Information Needs, Data Requirements, and Data Operations in Green County Data Analysisp. 124
6.3.1 Representation Model Workflowp. 124
6.3.2 Process Model Workflowp. 125
6.3.3 Scenario Model Workflowp. 129
6.3.4 Change Model Workflowp. 130
6.3.5 Impact Model Workflowp. 131
6.3.6 Decision Model Workflowp. 132
6.4 Summaryp. 134
6.5 Review Questionsp. 134
Chapter 7 Making Choires about GIS-Based Multicriteria Evaluationp. 136
7.1 Data Standardization in MCEp. 137
7.2 Transformation of Decision-Maker Preferences into Wetghtsp. 138
7.2.1 Rankingp. 139
7.2.2 Ratingp. 140
7.2.3 Pairwise Comparisonp. 140
7.3 Decision Rules in MCEp. 145
7.3.1 Weighted Linear Combination Decision Rulep. 145
7.3.2 Ideal Point Decision Rulep. 146
7.4 Sensitivity Analysis in MCEp. 149
7.5 MCE of Site Alternatives for Green County Wastewater Facilityp. 150
7.5.1 Stakeholder Perspectives on Siting a Green County Wastewater Facilityp. 151
7.5.2 Stakeholder Perspectives and Objectives for Interpreting Criteria Data Valuesp. 155
7.5.3 Criteria Data Values Used for Site Rankingp. 156
7.6 Summaryp. 158
7.7 Review Questionsp. 158
Part III Planning, Programming, and Implementation Decision Cases
Chapter 8 GIS Data Analysis for Planning Decision Supportp. 163
8.1 Overview of Planning-Level Analysis Workflowp. 163
8.2 Comparative Perspectives on Planning-Level Analysisp. 165
8.2.1 Comparing Land Use Planning Analysis Workflowp. 165
8.2.2 Comparing Transportation Planning Analysis Workflowp. 170
8.2.3 Comparing Water Resource Planning Analysis Workflowp. 176
8.3 Summaryp. 186
8.4 Review Questionsp. 187
Chapter 9 A Case Study in Water Resource Planning Decision Supportp. 189
9.1 Background on a Water Resource Planning Decision Problemp. 189
9.2 Workflow Task Model to Guide the Analysisp. 191
9.3 Summaryp. 194
9.4 Review Questionsp. 195
Chapter 10 GIS Data Analysis for Improvement Programming Decision Supportp. 196
10.1 Overview of the Workflow for Improvement Programming GIS-Based Analysisp. 197
10.2 Comparative Perspectives in Improvement Programming Decision Situationsp. 198
10.3 Improvement Programming Case Studiesp. 200
10.3.2 Affordable Housing Development as Land Use Improvement Programmingp. 201
10.3.2 Transportation Improvement Programmingp. 205
10.3.3 Water Resources Improvement Programmingp. 207
10.4 Summaryp. 214
10.5 Review Questionsp. 215
Chapter 11 GIS Data Analysis for Improvement Project Implementation Decision Supportp. 216
11.1 Overview of Project Implementation Analysis Workflowp. 216
11.2 Comparative Perspectives on Project Implementation Analysisp. 218
11.2.1 Scoping Processp. 218
11.2.2 Designing Processp. 222
11.2.3 Building Processp. 222
11.3 Land Development in Camden County, Georgia: A Case Studyp. 224
11.3.1 Backgroundp. 224
22.3.2 Workflowp. 225
11.4 Summaryp. 231
11.5 Review Questionsp. 231
Part IV Using GIS for Integrated Decision Support
Chapter 12 GIS-Based Integrated Analysis across Functional Themesp. 235
12.1 Work Plans for Integrated Watershed Planning Analysisp. 235
12.1.1 Overview of a Watershed Planning Decision Problemp. 236
12.1.2 Work Plan for Integrated Data Analysis for Watershed Planningp. 237
12.2 Work Plans for Integrated Transportation Improvement Programming Analysisp. 239
12.2.1 Overview of Land Use and Transportation Concurrency Management Decision Problemp. 239
12.2.2 Work Plan for Land Use and Transportation Concurrency Managementp. 239
12.3 Work Plans for GIS-Based Integrated Analysis for Improvement Projectsp. 242
12.3.1 Background on the Decision Problem about Land Use, Transportation, and Water Resourcesp. 242
12.3.2 Decision Work Planp. 242
12.4 Summaryp. 247
12.5 Review Questionsp. 247
Chapter 13 Linking Analyses across Decision Situation Processesp. 249
13.1 Linked Analysis for Planning-Level and Programming-Level Decision Situationsp. 251
13.2 Linked Analysis for Programming-Level and Implementation-Level Decision Situationsp. 255
13.3 Challenges in Linked Analysis: The Sustainability Analysis Challengep. 264
13.4 Summaryp. 268
13.5 Review Questionsp. 269
Part V Concluding Perspective
Chapter 14 Perspectives on GIS and Sustainability Managementp. 273
14.1 Decision Situation Assessmentp. 273
14.2 Growth Management Perspectivep. 274
14.3 Perspectives on Sustainability Managementp. 276
14.4 Overall Implications for GIS-Oriented Activityp. 279
14.5 Review Questionsp. 281
Referencesp. 283
Indexp. 295
About the Authorsp. 299
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