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Everything about Modifiable areal unit problem

Source of statistical bias

The modifiable areal unit problem (MAUP) is a source of statistical bias that can significantly impact the results of statistical hypothesis tests. The MAUP affects results when point-based measures of spatial phenomena are aggregated into spatial partitions or areal units as in, for example, population density or illness rates. The resulting summary values are influenced by both the shape and scale of the aggregation unit. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Modifiable areal unit problemA 5-minute orientation
  2. Pick up a classic book: Cartesian meditationsThe most-reprinted book on the subject
  3. Read the landmark paper: Modifiable Temporal Unit Problem (MTUP) and Its Effect on Space-Time Cluster DetectionCited 147 times
  4. Go sideways: Arbia's law of geographyA closely related topic
  5. Go sideways: Boundary problem (spatial analysis)A closely related topic

šŸ“– Definitions

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šŸ—‚ļø The subject at a glance

  1. Background
  2. Suggested solutions
  3. MAUP sensitivity analysis

šŸ† Landmark papers (most cited)

šŸ“š Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

šŸ”— Related topics