Book chapter
13. Statistical Analysis of Spatial Data
Methods in Experimental Physics, pp.375-402
Elsevier Science & Technology
1994
DOI: 10.1016/S0076-695X(08)60263-X
Abstract
This chapter presents the statistical analysis of spatial data, which are measurements on a real-valued response variate taken at known sites in some region D in two- or three-dimensional Euclidean space. Geostatistical data constitute an incomplete sample of a spatial surface generally assumed continuous, representing the value of the response variate over D. Typically, the physical dimensions of the sites are very small relative to both the size of D and the intersite distances, in which case it is entirely reasonable to regard the sites as points. Two main objectives are common to most analyses of geostatistical data: (1) identification of the data's spatial structure—i.e., the nature of the response variate's dependence on spatial location and the nature of the dependence among values of the response variate at neighboring sites and (2) optimal interpolation, or prediction, of the response variate at unsampled locations. Statistical procedures for achieving both of these objectives are presented in this chapter.
Details
- Title: Subtitle
- 13. Statistical Analysis of Spatial Data
- Creators
- Dale L Zimmerman - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Methods in Experimental Physics, pp.375-402
- Publisher
- Elsevier Science & Technology
- DOI
- 10.1016/S0076-695X(08)60263-X
- ISSN
- 0076-695X
- Language
- English
- Date published
- 1994
- Academic Unit
- Statistics and Actuarial Science; Biostatistics
- Record Identifier
- 9984257739702771
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