方法证据记录
Inverse Distance Weighting
Inverse distance weighting is a simple, deterministic method for estimating values at unsampled locations by taking a weighted average of nearby measured points, where closer points carry more weight. Introduced by Donald Shepard in 1968, it embodies the first law of geography — near things are more related than distant things — and is one of the most widely used interpolation methods in GIS for mapping continuous fields such as rainfall, elevation, or pollution from scattered samples.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Inverse Distance Weighting (IDW) Interpolation
分类方法记录 · regression-model / spatial-analysis
- Shepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 23rd ACM National Conference, 517–524. · DOI 10.1145/800186.810616
- Li, J., & Heap, A. D. (2008). A review of spatial interpolation methods for environmental scientists. Geoscience Australia Record 2008/23. · URL
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