 Modifiable areal unit problem

The modifiable areal unit problem (MAUP) is a source of statistical bias that can radically affect the results of statistical hypothesis tests. It affects results when pointbased measures of spatial phenomena (e.g., population density) are aggregated into districts. The resulting summary values (e.g., totals, rates, proportions) are influenced by the choice of district boundaries. For example, census data may be aggregated into census enumeration districts, or postcode areas, or police precincts, or any other spatial partition (thus, the 'areal units' are 'modifiable'). The issue was discovered in 1934^{[1]} and described in detail by Openshaw (1984), who lamented that "the areal units (zonal objects) used in many geographical studies are arbitrary, modifiable, and subject to the whims and fancies of whoever is doing, or did, the aggregating.".^{[2]}
See also
 General topics
 Specific applications
 Spatial epidemiology
 Spatial econometrics
 Gerrymandering
 Boundary problem (in spatial analysis)
Notes
References
 Cressie, N. (1996). "Change of Support and the Modifiable Areal Unit Problem." Geographical Systems, 3:159180.
 Gehlke, C. and Biehl, H. (1934). Certain effects of grouping upon the size of the correlation coefficient in census tract material. Journal of the American Statistical Association Supplement, 29, 169–170. doi:10.2307/2277827
 Holt D, Steel D, Tranmer M, Wrigley N. (1996). "Aggregation and ecological effects in geographically based data." Geographical Analysis 28:244–261.
 Openshaw, S. (1984). The Modifiable Areal Unit Problem. Norwich: Geo Books. ISBN 0860941345.
 Unwin, D. J. (1996). "GIS, spatial analysis and spatial statistics." Progress in Human Geography. 20: 540551.
Categories: Bias
 Geographic information systems
 Spatial data analysis
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