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 language | English |
---|---|
Title of host publication | Geo-Environment and Landscape Evolution III |
Subtitle of host publication | Evolution, Monitoring, Simulation, Management and Remediation of the Geological Environment and Landscape |
Pages | 47-56 |
Number of pages | 10 |
Volume | 100 |
DOIs | |
Publication status | Published - 2008 |
Event | 3rd 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 2008 → 18 Jun 2008 |
Conference
Conference | 3rd International Conference on Evaluation, Monitoring, Simulation, Management and Remediation of the Geological Environment and Landscape, Geo-Environment 2008 |
---|---|
Country/Territory | United Kingdom |
City | New Forest |
Period | 16/06/08 → 18/06/08 |
Keywords
- Environmental modelling
- Geocomputation
- GIS
- Kriging
- Measurement error
- Nugget-effect