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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Krigimi i Rregullt i Panelit×Autokorrelacioni Hapësinor×
FushaAnaliza hapësinoreAnaliza hapësinore
FamiljaRegression modelRegression model
Viti i origjinës1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s1950
KrijuesiExtension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settingsP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
LlojiGeostatistical spatial interpolationSpatial statistic / exploratory spatial data analysis
Burimi themeluesCressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Emërtime të tjeraordinary kriging for panel data, longitudinal ordinary kriging, repeated-measures spatial kriging, panel geostatistical interpolationspatial dependence, geographic autocorrelation, spatial clustering measure, SA
Të lidhura65
PërmbledhjaPanel Ordinary Kriging extends the classical geostatistical interpolation method — Ordinary Kriging — to panel (longitudinal) datasets where the same set of spatial locations is observed repeatedly over multiple time periods. It produces optimal linear unbiased predictions at unsampled locations for each time slice, accounting for spatial dependence while leveraging the temporal structure of the repeated observations.Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.
ScholarGateSeti i të dhënave
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  1. v1
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  3. PUBLISHED

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ScholarGateKrahasoni metodat: Panel Ordinary Kriging · Spatial Autocorrelation. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare