Kriging and Bilinear methods for estimating spatial pattern of atmospheric pollutants

Roberto Carletti, Maria Picci, Daniela Romano

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Two statistical methods to reconstruct the spatial pattern of environmental data are compared: the Kriging and the Bilinear. The comparison is performed by evaluating two different characteristics of the methods: the interpolation and the estimation. The Kriging method is demonstrated to be better than the Bilinear regarding all the statistics studied, although the differences are not very significant. Especially, the Kriging is more efficient than the Bilinear in the reconstruction of peak values and it does not extrapolate local trends. The methods are applied to a set of environmental data measured in an urban area.
Original languageEnglish
Pages (from-to)341 - 359
Number of pages19
JournalEnvironmental Monitoring and Assessment
Volume63
Issue number2
DOIs
Publication statusPublished - 2000
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Pollution
  • Management, Monitoring, Policy and Law

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