ScholarGate
Assistent
Regression modelGIS / spatial

Bayesiansk Moran's I

Bayesiansk Moran's I indlejrer den klassiske Moran's I-test for rumlig autokorrelation inden for et bayesiansk sandsynlighedsrammeværk. I stedet for at producere en enkelt p-værdi, giver den en posterior-fordeling over parameteren for rumlig autokorrelation, hvilket muliggør kvantificering af usikkerhed, inkorporering af forhåndsviden og mere principiel inferens i små eller uregelmæssige rumlige datasæt.

Åbn i MethodMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  1. Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611
  2. Lee, S.-I. (2001). Developing a bivariate spatial association measure: an integration of Pearson's r and Moran's I. Journal of Geographical Systems, 3(4), 369–385. link

Sådan citerer du denne side

ScholarGate. (2026, June 3). Bayesian Moran's I Spatial Autocorrelation Test. ScholarGate. https://scholargate.app/da/spatial-analysis/bayesian-morans-i

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Refereret af

ScholarGateBayesian Moran's I (Bayesian Moran's I Spatial Autocorrelation Test). Hentet 2026-06-15 fra https://scholargate.app/da/spatial-analysis/bayesian-morans-i · Datasæt: https://doi.org/10.5281/zenodo.20539026