Abstract
Spatial interpolation is an important feature of a Geographic Information System, which is the procedure used to estimate values at unknown locations within the area covered by existing observations. In this paper, we describe a conservative spatial interpolation technique that incorporates the advantages of local interpolation, Euclidean interpolation, and conservative fuzzy reasoning, and a dynamic fuzzy-reasoning-based function estimator with parameters optimised by a genetic algorithm. The main objective of this paper is to formulate a computationally efficient spatial interpolation technique similar to the IDWA technique that can be used in real time application. The main feature of our spatial interpolation technique is a capability for spatial interpolation and extrapolation in a higher-dimensional space. Examples from a rainfall spatial interpolation problem are used to illustrate the applicability of the proposed technique.
| Original language | English |
|---|---|
| Pages (from-to) | 55-66 |
| Number of pages | 12 |
| Journal | Transactions in GIS |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2003 |
| Externally published | Yes |