Imágen de Portada

Key concepts & techniques in GIS /

Detalles Bibliográficos
Autor principal: Albrecht, Jochen,
Formato: eBook
Idioma:English
Fecha de publicación: Los Angeles : SAGE Publications, 2007.
Materias:
Geographic information systems.
Electronic books.
Acceso en línea:https://recursos.uloyola.es/login?url=https://accedys.uloyola.es:8443/accedix0/sitios/ebook.php?id=138020
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
  • 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
  • References
  • Index.

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