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A state-space model approach to optimum spatial sampling design based on entropy

Authors
  • Bueso, M. C.1
  • Angulo, J. M.1
  • Alonso, F. J.1
  • 1 Universidad de Granada, Campus de Fuentenueva s/n, Departamento de Estadistica e I., Granada, E-18071, Spain , Granada
Type
Published Article
Journal
Environmental and Ecological Statistics
Publisher
Kluwer Academic Publishers
Publication Date
Mar 01, 1998
Volume
5
Issue
1
Pages
29–44
Identifiers
DOI: 10.1023/A:1009603318668
Source
Springer Nature
Keywords
License
Yellow

Abstract

We consider the spatial sampling design problem for a random field X. This random field is in general assumed not to be directly observable, but sample information from a related variable Y is available. Our purpose in this paper is to present a state-space model approach to network design based on Shannon's definition of entropy, and describe its main points with regard to some of the most common practical problems in spatial sampling design. For applications, an adaptation of Ko et al.'s (1995) algorithm for maximum entropy sampling in this context is provided. We illustrate the methodology using piezometric data from the Velez aquifer (Malaga, Spain). © Rapid Science 1998

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