方法对比

	Areal Interpolation	Modifiable Areal Unit Problem
领域	Human Geography	Human Geography
方法族	Process / pipeline	Process / pipeline
起源年份	1979	1984
提出者	Waldo Tobler (pycnophylactic) and Michael Goodchild & Nina Lam (areal weighting)	Stan Openshaw
类型	Method for transferring attribute data between incompatible sets of areal units	Source of bias and sensitivity in the analysis of spatially aggregated data
开创性文献	Tobler, W. R. (1979). Smooth pycnophylactic interpolation for geographical regions. Journal of the American Statistical Association, 74(367), 519–530.	Openshaw, S. (1984). The Modifiable Areal Unit Problem. Concepts and Techniques in Modern Geography No. 38. Geo Books, Norwich. ISBN: 9780860941347
别名	Cross-Areal Estimation, Zone-to-Zone Interpolation, Spatial Data Transfer	MAUP, Scale and Zoning Effect, Aggregation Problem
相关	4	4
摘要	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.	The modifiable areal unit problem (MAUP) is the finding that statistical results computed on spatially aggregated data depend on the arbitrary choice of how space is divided into zones. Stan Openshaw's 1984 monograph crystallized the issue into two intertwined components — a scale effect, where results change as data are grouped into larger or smaller units, and a zoning effect, where results change when the boundaries are redrawn at a fixed scale. Because the units used in geography (census tracts, districts, grid cells) are almost always modifiable rather than natural, almost every aggregate spatial statistic is potentially an artefact of its zonation.