Authors: Xiang Ye*, University at Buffalo
Topics: Spatial Analysis & Modeling, Quantitative Methods, Geographic Theory
Keywords: modifiable areal unit problem, sensitivity analysis, probability distribution
Session Type: Paper
Start / End Time: 8:00 AM / 9:40 AM
Room: 8217, Park Tower Suites, Marriott, Lobby Level
Presentation File: No File Uploaded
The modifiable areal unit problem (MAUP) has long been recognized as one of the most challenging yet fundamental issues in the discipline of Geography. Its impacts to the spatial analysis are so extensive and salient that much attention has been constantly fixed upon the sensitivity of results subject to the issue. Despite the diligent exploration and plentiful domain-specific practices and observations, there remains a lack of a consistent and systematic framework to quantify the sensitivity of a geographical phenomenon to the modifiable areal unit problem. Therefore, the sensitivities of geographical phenomena are generally incomparable. To address this issue, a probability-based approach has been proposed to evaluate the sensitivities of a geographical phenomenon to the different perspectives of the modifiable areal unit problem. Its flexibility and adaptability are endorsed by its spatial and mathematical extensions.