The modifiable areal unit problem (Maup) in physical geography
Bibliographic Data
| ID | 23345792 |
|---|---|
| Authors | Shawna J Dark (California State University, Northridge, CA 91330, USA,), Shawna Dark (California State University, Northridge, corresponding author), Danielle Bram (California State University, Northridge, CA 91330, USA), D L Bram (California State University, Northridge) |
| Year | 2007 |
| Volume | 31 |
| Issue | 5 |
| Pages | 471-479 |
| Publication date | 2007-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Progress in Physical Geography: Earth and Environment (JOURNAL) |
| Journal identifiers | ISSN: 0309-1333 • E-ISSN: 1477-0296 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0309133307083294 |
| OpenAlex | W2132545125 |
| Language | EN |
| Citations received | 74 |
| References cited | 25 |
Of particular importance to the study of large-scale phenomena in physical geography is the modifiable areal unit problem ( MAUP). While often viewed as only a problem in human geography (particularly demographic studies), the MAUP is an issue for all quantitative studies in geography of spatial phenomena (Openshaw and Taylor, 1979). Increasingly, remote sensing and Geographic Information Systems ( GIS) are being used to assess the distribution of phenomena from a large scale. These phenomena are modelled using areal units that can take any shape or size resulting in complications with statistical analysis related to both the scale and method used to create the areal units. In this paper, we define the modifiable areal unit problem, present examples of when it is a problem in physical geography studies, and review some potential solutions to the problem. Our aim is to increase awareness of this complicated issue and to promote further discussion and interest in this topic.
Cartography · Geographic information system · Geography · Scale (ratio) · Unit (ring theory) · Economic and Environmental Valuation · Land Use and Ecosystem Services · Mathematics · Spatial and Panel Data Analysis
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| Unique citing works | 74 |
|---|---|
| Citations per year | 4,63 |
| Citation span | 2010 - 2026 (17) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 72 |