Spatial analysis
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Spatial analysis or spatial statistics includes any of the formal techniques which studies entities using their topological, geometric, or geographic properties. Spatial analysis includes a variety of techniques, many still in their early development, using different analytic approaches and applied in fields as diverse as astronomy, with its studies of the placement of galaxies in the cosmos, to chip fabrication engineering, with its use of "place and route" algorithms to build complex wiring structures. In a more restricted sense, spatial analysis is the technique applied to structures at the human scale, most notably in the analysis of geographic data.
Complex issues arise in spatial analysis, many of which are neither clearly defined nor completely resolved, but form the basis for current research. The most fundamental of these is the problem of defining the spatial location of the entities being studied.
Classification of the techniques of spatial analysis is difficult because of the large number of different fields of research involved, the different fundamental approaches which can be chosen, and the many forms the data can take.
See also
- General topics
- Cartography
- Complete spatial randomness
- GeoComputation
- Geospatial intelligence
- Geospatial predictive modeling
- Dimensionally Extended nine-Intersection Model (DE-9IM)
- Geographic information science
- Mathematical statistics
- Modifiable areal unit problem
- Spatial autocorrelation
- Spatial descriptive statistics
- Spatial relation
- List of spatial analysis software
- Specific applications
- Geographic information systems
- Geodemographic segmentation
- Visibility analysis
- Fuzzy architectural spatial analysis
- Suitability analysis
- Extrapolation domain analysis
- Geoinformatics
- Geostatistics
- Boundary problem (in spatial analysis)
- Spatial epidemiology
- Spatial econometrics
