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Spatial statistics

From Wikipedia, the free encyclopedia
Map of poverty clusters in the United States made using spatial statistics.

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

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References

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  1. ↑ Ripley, B.D. (2005). Spatial Statistics. Wiley Series in Probability and Statistics. Wiley. ISBN 978-0-471-72520-6. Retrieved 2023-04-04.
  2. ↑ 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.
  3. ↑ Cressie, N. (2015). Statistics for Spatial Data. Wiley Series in Probability and Statistics. Wiley. ISBN 978-1-119-11518-2. Retrieved 2023-04-04.
  4. ↑ 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.
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