The concept of spatial scale is of fundamental importance in the analysis of spatial data. Issues such as scaling, multi-scale, data fusion, and change of support when analyzing spatial data are currently not given due attention. There is no unique or only one approach to deal with scaling or change of scale. Geostatistics offers several tools to deal with these problems, such as the regularization technique that evaluates the effect of scaling by operating on spatial functions, such as the covariance and variogram, rather than on data. In this chapter, a case study is presented to illustrate how geostatistics can deal with the issue of spatial scale.
The issue of scale and change of support in the spatial analysis of environmental data / Castrignanò, Annamaria; Belmonte, Antonella; Romano, Nunzio. - (2023), pp. 521-534. [10.1016/B978-0-12-822974-3.00229-9]
The issue of scale and change of support in the spatial analysis of environmental data.
Nunzio Romano
2023
Abstract
The concept of spatial scale is of fundamental importance in the analysis of spatial data. Issues such as scaling, multi-scale, data fusion, and change of support when analyzing spatial data are currently not given due attention. There is no unique or only one approach to deal with scaling or change of scale. Geostatistics offers several tools to deal with these problems, such as the regularization technique that evaluates the effect of scaling by operating on spatial functions, such as the covariance and variogram, rather than on data. In this chapter, a case study is presented to illustrate how geostatistics can deal with the issue of spatial scale.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
