Modifiable Areal Unit Problem

By Shashi Shekhar, Hui Xiong. ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2008

2,471 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/ac9e16648e2a303615da06b161cce1d822999654

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Citations in the corpus

The role of human, social, built, and natural capital in explaining life satisfaction at the country level: Toward a National Well-Being Index (NWI) (2006, background): “subject to the modifiable areal unit problem ( Openshaw, 1983; Larson, 1986; Fotheringham and Wong,”
An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. (2009, background): “The problems of regional availability measures have been long recognized in geography (e.g., Openshaw and Taylor, 1981 ), but are still not well resolved.”
Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models (2016, background): “3 MAUP is associated with the uncertainties between choice of an alternative number of zones (or zoning systems) and the implications that this holds for spatial analysis (Openshaw and Taylor 1981).”
Explosive connections? Mass media, social media, and the geography of collective violence in African states (2015, background): “Put briefly, this work shows that multivariate spatial regression estimates tend to be inherently unreliable, because they are dependent on the choice of the spatial units (Openshaw, 1984; Fotheringham & Wong, 1991).”
An Analytical Regions Proposal for the Study of Labour Markets: An Evaluation for the Spanish Territory (2011, background): “2 See also Openshaw and Taylor (1981) and Arbia (1989).”
Social choice ethics in artificial intelligence (2017, result): “This is seen in the concept of ‘‘gerrymandering’’, in which unintuitive district lines are drawn so as to maximize advantage for a political party, or more generally in the modifiable areal unit problem, in which different demarcations of spatial units yield different results (Openshaw 1983).”
The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use (2019, background): “As one of the most persistent problems in geographical analysis, MAUP-related research has made significant progress to better understand the sensitivity of analytical results due to changing aggregation levels using synthetic and real-world data (Amrhein, 1995; Steel and Holt, 1996; Flowerdew et al”
A dissimilarity index of multidimensional inequality of opportunity (2010, background): “This is the so-called “Modifiable Areal Unit Problem” (MAUP). For a discussion see Openshaw [ 23 ].”
Subjective Constructions of Neighborhood Boundaries: Lessons from a Qualitative Study of Four Neighborhoods (2009, background): “Few studies give much theoretical consideration to the proper level of aggregation, despite concerns raised by scholars such as Openshaw and Taylor (1979, 1981) regarding the modifiable areal unit problem; for example, whether a tract, a zip code, a block group, or so forth is most appropriate for…”
Statistical Modeling of Spatially Stratified Heterogeneous Data (2022, background): “In both of the examples and in several of the earlier sections, statistical results depend on the scale (size) of, or partitioning associated with, the reporting units (referred to as the MAUP; Openshaw 1984; Ge et al. 2019).”
Excess Commuting: A Critical Review (2006, background): “This variance in excess commuting estimate is closely related to the Modifiable Areal Unit Problem (MAUP), which has been viewed as endemic to the spatial analysis that utilizes aggregate data sources (Openshaw and Taylor, 1981).”
Internal migration around the world: comparing distance travelled and its frictional effect (2016, background): “…earlier, the problems of cross-national comparison of migration distance are underpinned by the MAUP, whose components are explained in detail by Openshaw (1984), and include the scale effect or the variation in results obtained when data for one set of BSUs are aggregated into larger ASRs, and…”
Space, time and visual analytics (2010, background): “Visual analytics may achieve Openshaw’s (1984) vision of the modifiable area unit problem being transformed into a modifiable area unit opportunity for sensitivity analysis that allows us to discriminate between spurious and persistent patterns.”