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
- 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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将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。
- Choropleth ClassificationHuman Geography↔ 比较
- Dasymetric MappingHuman Geography↔ 比较
- Modifiable Areal Unit ProblemHuman Geography↔ 比较
- Population Potential ModelHuman Geography↔ 比较