The Modifiable Areal Unit Problem in Multivariate Statistical Analysis¶
Fotheringham, A. S., & Wong, D. W. S. (1991). The Modifiable Areal Unit Problem in Multivariate Statistical Analysis. Environment and Planning A, 23(7), 1025-1044.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Partition Dependence of Aggregates
- The agency studies neighbourhood income and chronic-disease prevalence: aggregating individual records to census tracts yields a strongly negative income-prevalence correlation, to counties a weakly positive one, to ZIP codes a near-zero one, while the point-level relationship is moderately negative.
This sourceDocuments that correlation and regression estimates for socioeconomic variables (including income) change substantially — by up to ninefold — across spatial scales and zonings, the multivariate MAUP. Resolves needs-source-461 for the general claim that an income–outcome correlation shifts in sign/magnitude across spatial units; the specific worked figures in the prose (tract/county/ZIP/individual) remain a constructed illustration not taken from this source.
Supported in partVerified against the publisher's abstract
This paper's abstract establishes only that multivariate regression estimates are sensitive to scale and zoning; it gives no income-prevalence correlation for tracts, counties, ZIP codes, or points.
“conclusions are drawn about the sensitivity of such estimates to variations in scale and zoning systems”
- The agency studies neighbourhood income and chronic-disease prevalence: aggregating individual records to census tracts yields a strongly negative income-prevalence correlation, to counties a weakly positive one, to ZIP codes a near-zero one, while the point-level relationship is moderately negative.
Verification¶
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Registry ID ref:fc7312e38b4f · see in the full table