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Krahasoni metodat

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

Krigimi i Rregullt i Panelit×Ko-krigimi: Ndërmjetësim Gjeostatistik Multivariat×
FushaAnaliza hapësinoreAnaliza hapësinore
FamiljaRegression modelRegression model
Viti i origjinës1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s1965-1978
KrijuesiExtension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settingsMatheron, G.; extended by Journel & Huijbregts
LlojiGeostatistical spatial interpolationGeostatistical interpolation
Burimi themeluesCressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
Emërtime të tjeraordinary kriging for panel data, longitudinal ordinary kriging, repeated-measures spatial kriging, panel geostatistical interpolationcokriging, co-regionalization kriging, multivariate kriging, CK
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.Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest.
ScholarGateSeti i të dhënave
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  2. 2 Burimet
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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Panel Ordinary Kriging · Co-kriging. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare