The nugget-effect approaches of SAKWeb for environmental modelling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)
42 Downloads (Pure)

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
CountryUnited Kingdom
CityNew Forest
Period16/06/0818/06/08

Keywords

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

Fingerprint

Dive into the research topics of 'The nugget-effect approaches of SAKWeb for environmental modelling'. Together they form a unique fingerprint.

Cite this