1. Application of Geostatistical Analyst in Spatial Interpolation
Fei Yan
Center for Research in Water Resources
Project for GIS in Water Resources

2. Outline Introduction Data source Spatial interpolation
Inverse Distance Weighted
Ordinary kriging (default setting)
Ordinary kriging (trend removed)
Ordinary cokriging (trend removed)
Automating the use of Geostatistical tools

3. Introduction Point measurement ->Spatial distribution ?
Spatial interpolation
Deterministic (e.g. Inverse Distance Weighted)
Statistical (Kriging)
Which is better ?

4. Data source
Average temperature and solar radiation on 01/01/2000 from Daymet

5. Inverse Distance Weighted
Closer points, greater weight

6. Ordinary Kriging

7. Ordinary kriging (trend removed)

8. Trend Removed

9. Ordinary cokriging (trend removed)

10. Model Comparison (Cross Validation)

11. Where? Highest Temperature
Where? Greatest Uncertainty

12. ModelBuilder