Random Parameters and Spatial Heterogeneity using Rchoice package in R
Abstract: This study focus on models with spatially varying coefficients using simulations. As shown by Sarrias (2019), this modeling strategy is intended to complement the existing approaches by using variables at micro level and by adding flexibility and realism to the potential domain of the coefficient on the geographical space. Spatial heterogeneity is modelled by allowing the parameters associated with each observed variable to vary “randomly” across space according to some distribution. To show the main advantages of this modeling strategy, the Rchoice package in R is used
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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Veröffentlichungsversion
begutachtet (peer reviewed)
In: Region: the journal of ERSA ; 7 (2020) 1 ; 1-19
- Klassifikation
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Geografie, Reisen
- Ereignis
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Veröffentlichung
- (wo)
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Mannheim
- (wer)
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SSOAR - Social Science Open Access Repository
- (wann)
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2020
- Urheber
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Sarrias, Mauricio
- DOI
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10.18335/region.v7i1.279
- URN
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urn:nbn:de:101:1-2021042716555085075928
- Rechteinformation
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Open Access; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 MEZ
Datenpartner
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Beteiligte
- Sarrias, Mauricio
- SSOAR - Social Science Open Access Repository
Entstanden
- 2020
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