ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Panel Ordinary Kriging×Panel Kriging×
OborProstorová analýzaProstorová analýza
RodinaRegression modelRegression model
Rok vzniku1963 (Ordinary Kriging origin); panel extensions formalized in 1990s–2000s2011
TvůrceExtension of Ordinary Kriging (Matheron, 1963) to panel/longitudinal spatial settingsCressie & Wikle (spatio-temporal kriging framework)
TypGeostatistical spatial interpolationGeostatistical interpolation
Původní zdrojCressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550
Další názvyordinary kriging for panel data, longitudinal ordinary kriging, repeated-measures spatial kriging, panel geostatistical interpolationlongitudinal kriging, repeated-measures kriging, spatio-temporal panel kriging, panel geostatistical interpolation
Příbuzné65
ShrnutíPanel 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.Panel Kriging is a geostatistical interpolation method that combines kriging's spatial prediction framework with a panel (longitudinal) data structure. It estimates unknown values at unobserved locations and times by borrowing strength from repeated spatial observations across multiple time periods, accounting for both spatial dependence and temporal autocorrelation simultaneously.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Panel Ordinary Kriging · Panel Kriging. Získáno 2026-06-18 z https://scholargate.app/cs/compare