Key concepts & techniques in GIS /

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"A concise overview of the fundamental ideas that inform Geographic Information Science. It provides detailed descriptions of the concepts and techniques that anyone using GIS software must fully understand to analyze spatial data"--Publisher description.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Albrecht, Jochen
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Los Angeles [i.e. Thousand Oaks, Calif.] : SAGE Publications, 2007.
Temas:
Geographic information systems.
Systèmes d'information géographique.
geographic information systems.
TECHNOLOGY & ENGINEERING > Remote Sensing & Geographic Information Systems.
Geographic information systems
Sources
Acceso en línea:Texto completo
Tabla de Contenidos:
  • List of figures
  • Preface
  • 1. 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
  • 3.1. Spatial data quality
  • 3.2. How to handle data quality issues
  • 4. Spatial search
  • 4.1. Simple spatial querying
  • 4.2. 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
  • References
  • Index.

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