Sources of Uncertainty in Location Analysis

Alan T. Murray ()
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Alan T. Murray: University of California at Santa Barbara

A chapter in Uncertainty in Facility Location Problems, 2023, pp 3-24 from Springer

Abstract: Abstract This chapter provides an overview of uncertainty in location analysis, highlighting different ways sources of error can be introduced. The chapter intentionally deviates from past efforts discussing uncertainty in location analysis that emphasize particular model types, such as risk, robust, and stochastic approaches. The rationale is that defining characteristics of uncertainty suggest that doubt is key. Accordingly, doubt can be found in a range of identified categories, including understanding of problem/issue, abstraction, model specification, attribute(s), location, spatial properties, solution, and implementation. The modeling implications for select categories are illustrated in various ways in order to highlight the spatial and aspatial implications. The intent is to make future avenues for investigation more comprehensive and ultimately ensure that uncertainty is addressed in a rigorous fashion.

Keywords: Analytics; Abstraction; MAUP; Error (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-32338-6_1

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