Porovnať metódy

	Multiscale priestorová autokorelácia	Moran's I
Odbor	Priestorová analýza	Priestorová analýza
Rodina	Regression model	Regression model
Rok vzniku	2002	1950
Tvorca	Borcard & Legendre; Csillag & Kabos	Patrick A. P. Moran
Typ	Spatial autocorrelation decomposition	Spatial autocorrelation statistic
Pôvodný zdroj	Borcard, D., & Legendre, P. (2002). All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. Ecological Modelling, 153(1-2), 51-68.	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
Ďalšie názvy	multi-scale spatial autocorrelation, scale-decomposed spatial autocorrelation, multiscale Moran analysis, MSA	Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index
Príbuzné	6	6
Zhrnutie	Multiscale spatial autocorrelation extends classical spatial autocorrelation analysis by computing and comparing autocorrelation statistics (such as Moran's I) across a range of spatial scales simultaneously. This reveals at which geographic distances or resolutions spatial clustering or dispersion is strongest, providing a richer picture than a single global measure.	Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number.