Spatial representation of economic and financial measures used in agriculture via wavelet analysis

Mitchell Morehart, Fionn Murtagh, Jean Luc Starck

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

A foundation is set forth for use of the wavelet transform as a spatial analysis tool for modelling the geographical representation of economic and financial measures used in agriculture. This provides a framework from which to estimate a smooth nonparametric function which describes complex, multivariate relationships embedded in spatial data, with the resulting maps conveying large amounts of information in a familiar format. We illustrate this approach for tasks which include the graphical presentation of information, density estimation and wavelet-based nonparametric regression. A redundant wavelet transform is used, and we detail the properties which make it particularly appropriate for these objectives.

Original languageEnglish
Pages (from-to)557-576
Number of pages20
JournalInternational Journal of Geographical Information Science
Volume13
Issue number6
DOIs
Publication statusPublished - 1 Jan 1999
Externally publishedYes

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