The nugget-effect approaches of SAKWeb for environmental modelling

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Abstract

Ordinary Kriging (OK) seems to achieve better spatial interpolation results than other methods regarding environmental pollution, for instance, although sampling distribution can turn out to be a problem. This latter issue leads to a crucial topic identified as the nugget-effect, the distance interval in which capturing spatial dependency is most important. SAKWeb© developments have been made using four approaches to this factor: (1) with and (2) without nugget-effect, (3) micro-scale component and (4) measurement error inclusion that leads to a non-exact Kriging version. Although no spatial patterns can be found regarding which nugget-effect fits best, the possibility of simulating different on-the-fly models and comparing discrepancy among them is already significant in a W3 context.

Original languageEnglish
Title of host publicationGeo-Environment and Landscape Evolution III
Subtitle of host publicationEvolution, Monitoring, Simulation, Management and Remediation of the Geological Environment and Landscape
Pages47-56
Number of pages10
Volume100
DOIs
Publication statusPublished - 2008
Event3rd International Conference on Evaluation, Monitoring, Simulation, Management and Remediation of the Geological Environment and Landscape, Geo-Environment 2008 - New Forest, United Kingdom
Duration: 16 Jun 200818 Jun 2008

Conference

Conference3rd International Conference on Evaluation, Monitoring, Simulation, Management and Remediation of the Geological Environment and Landscape, Geo-Environment 2008
Country/TerritoryUnited Kingdom
CityNew Forest
Period16/06/0818/06/08

Keywords

  • Environmental modelling
  • Geocomputation
  • GIS
  • Kriging
  • Measurement error
  • Nugget-effect

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