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Process / pipelineSpatial data transformation

Areal Interpolation

Areal interpolation is the family of methods for transferring attribute data — populations, counts, rates — from one set of areal units (the source zones) onto a different, incompatible set (the target zones). The need arises constantly in geography because census tracts, postal zones, electoral districts, and grid cells rarely align, yet analysts must combine data reported on mismatched geographies. The methods range from simple area-proportional weighting through ancillary-informed dasymetric refinement to Waldo Tobler's 1979 volume-preserving pycnophylactic smoothing, each trading simplicity for accuracy.

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来源

  1. Tobler, W. R. (1979). Smooth pycnophylactic interpolation for geographical regions. Journal of the American Statistical Association, 74(367), 519–530. DOI: 10.1080/01621459.1979.10481647

如何引用本页

ScholarGate. (2026, June 22). Areal Interpolation (Cross-Areal Data Transfer). ScholarGate. https://scholargate.app/zh/human-geography/areal-interpolation

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ScholarGateAreal Interpolation (Areal Interpolation (Cross-Areal Data Transfer)). 于 2026-06-24 检索自 https://scholargate.app/zh/human-geography/areal-interpolation · 数据集: https://doi.org/10.5281/zenodo.20539026