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Table of Contents
List of figures
Preface
Creating digital data
1.1. Spatial data
1.2. Sampling
1.3. Remote sensing
1.4. Global positioning systems
1.5. Digitizing and scanning
1.6. The attribute component of geographic data
2. Accessing existing data
2.1. Data exchange
2.2 Conversion
2.3. Metadata
2.4. Matching geometries (projection and coordinate systems)
2.5. Geographic web services
3. Handling uncertainty
2.1. Spatial data quality
3.2. How to handle data quality issues
4. Spatial search
4.1. Simple spatial querying
5.2. Conditional querying
4.3. The query process
4.4. Selection
4.5. Background material : Boolean logic
5. Spatial relationships
5.1. Recoding
5.2. Relationships between measurements
5.3. Relationships between features
6. Combining spatial data
6.1. Overlay
6.2. Spatial Boolean logic
6.3. Buffers
6.4. Buffering in spatial search
6.5. Combining operations
6.6. Thiessen polygons
7. Location-allocation
7.1. The best way
7.2. Gravity model
7.3. Location modeling
7.4. Allocation modeling
8. Map algebra
8.1. Raster GIS
8.2. Local functions
8.3. Focal functions
8.4. Zonal functions
8.5. Global functions
8.6. Map algebra scripts
9. Terrain modeling
9.1. Triangulated irregular networks (TINs)
9.2. Visibility analysis
9.3. Digital elevation and terrain models
9.4. Hydrological modeling
10. Spatial statistics
10.1. Geo-statistics
10.1.1 Inverse distance weighting
10.1.2. Global and local polynomials
10.1.3. Splines
10.1.4. Kriging
10.2. Spatial analysis
10.2.1. Geometric descriptors
10.2.2. Spatial patterns
10.2.3. The modifiable area unit problem (MAUP)
10.2.4. Geographic relationships
11. Geocomputation
11.1 Fuzzy reasoning
11.2. Neural networks
11.3. Genetic algorithms
11.4. Cellular automata
11.5. Agent-based modeling systems
12. Epilogue : Four-dimensional modeling
Glossary.
Preface
Creating digital data
1.1. Spatial data
1.2. Sampling
1.3. Remote sensing
1.4. Global positioning systems
1.5. Digitizing and scanning
1.6. The attribute component of geographic data
2. Accessing existing data
2.1. Data exchange
2.2 Conversion
2.3. Metadata
2.4. Matching geometries (projection and coordinate systems)
2.5. Geographic web services
3. Handling uncertainty
2.1. Spatial data quality
3.2. How to handle data quality issues
4. Spatial search
4.1. Simple spatial querying
5.2. Conditional querying
4.3. The query process
4.4. Selection
4.5. Background material : Boolean logic
5. Spatial relationships
5.1. Recoding
5.2. Relationships between measurements
5.3. Relationships between features
6. Combining spatial data
6.1. Overlay
6.2. Spatial Boolean logic
6.3. Buffers
6.4. Buffering in spatial search
6.5. Combining operations
6.6. Thiessen polygons
7. Location-allocation
7.1. The best way
7.2. Gravity model
7.3. Location modeling
7.4. Allocation modeling
8. Map algebra
8.1. Raster GIS
8.2. Local functions
8.3. Focal functions
8.4. Zonal functions
8.5. Global functions
8.6. Map algebra scripts
9. Terrain modeling
9.1. Triangulated irregular networks (TINs)
9.2. Visibility analysis
9.3. Digital elevation and terrain models
9.4. Hydrological modeling
10. Spatial statistics
10.1. Geo-statistics
10.1.1 Inverse distance weighting
10.1.2. Global and local polynomials
10.1.3. Splines
10.1.4. Kriging
10.2. Spatial analysis
10.2.1. Geometric descriptors
10.2.2. Spatial patterns
10.2.3. The modifiable area unit problem (MAUP)
10.2.4. Geographic relationships
11. Geocomputation
11.1 Fuzzy reasoning
11.2. Neural networks
11.3. Genetic algorithms
11.4. Cellular automata
11.5. Agent-based modeling systems
12. Epilogue : Four-dimensional modeling
Glossary.