Spatial statistics
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Spatial statistics is a field of applied statistics dealing with spatial data. It involves stochastic processes (random fields, point processes), sampling, smoothing and interpolation, regional (areal unit) and lattice (gridded) data, point patterns, as well as image analysis and stereology.[1][2][3][4]
See also
- Geostatistics
- Modifiable areal unit problem
- Spatial analysis
- Spatial econometrics
- Statistical geography
- Spatial epidemiology
- Spatial network
- Statistical shape analysis
References
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- ^ Page Module:Citation/CS1/styles.css has no content.Ripley, B.D. (2005). Spatial Statistics. Wiley Series in Probability and Statistics. Wiley. ISBN 978-0-471-72520-6. Retrieved 2023-04-04.
- ^ Page Module:Citation/CS1/styles.css has no content.van Lieshout, M.N.M. (2019). Theory of Spatial Statistics: A Concise Introduction. Chapman & Hall/CRC Texts in Statistical Science. CRC Press. ISBN 978-0-429-62867-2. Retrieved 2023-04-04.
- ^ Page Module:Citation/CS1/styles.css has no content.Cressie, N. (2015). Statistics for Spatial Data. Wiley Series in Probability and Statistics. Wiley. ISBN 978-1-119-11518-2. Retrieved 2023-04-04.
- ^ Page Module:Citation/CS1/styles.css has no content.Gelfand, A.E.; Diggle, P.; Guttorp, P.; Fuentes, M. (2010). Handbook of Spatial Statistics. Chapman & Hall/CRC Handbooks of Modern Statistical Methods. CRC Press. ISBN 978-1-4200-7288-4. Retrieved 2023-04-04.
