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Inverse Distance Weighting/Evidence
Method evidence record

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Inverse Distance Weighting (IDW) Interpolation
Taxonomic method record · 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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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketCokrigingmachine-suggested · Relational suggestion, not evidence.Same method familyGeographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketUniversal Krigingmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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