Advanced spatial analytics and management: models, methods and applications

In this contribution, a concept of the integration of spatial predictive analytics and mathematical programs for spatial decision making – namely, advanced spatial analytics and management – is outlined. In particular, selected methods for spatial predictive analytics are discussed, including spatia...

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Bibliographic Details
Published inProblems and perspectives in management Vol. 14; no. 2; pp. 67 - 73
Main Author Müller, Sven
Format Journal Article
LanguageEnglish
Published Sumy Business Perspectives Ltd 2016
LLC "CPC "Business Perspectives
Subjects
Econometrics
Mathematical programming
Predictive analytics
Spatial analysis
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Summary:In this contribution, a concept of the integration of spatial predictive analytics and mathematical programs for spatial decision making – namely, advanced spatial analytics and management – is outlined. In particular, selected methods for spatial predictive analytics are discussed, including spatial econometrics and discrete choice analysis. Then, the integration of spatial predictive models in mathematical programs (prescriptive analytics) for facility location and districting is demonstrated. The paper includes illustrative applications which stem from health care, retail, marketing, logistics, and transportation. Based on the discussion, future research perspectives are developed
ISSN:1727-7051
1810-5467
DOI:10.21511/ppm.14(2).2016.07