ScholarGate
Asistent

Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Global Kriging×Lokalno krigiranje (Krigiranje pokretnim prozorom)×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka1960s–19931990
TvoracGeorges Matheron (kriging framework); global neighborhood usage formalized in applied geostatisticsHaas, T. C.
VrstaGeostatistical interpolationSpatial interpolation (local variant)
Temeljni izvorCressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550Haas, T. C. (1990). Kriging and automated variogram modeling within a moving window. Atmospheric Environment, 24(7), 1759-1769. DOI ↗
Drugi naziviglobal-neighborhood kriging, full-data kriging, exhaustive kriging, non-local krigingmoving-window kriging, local kriging interpolation, windowed kriging, neighborhood kriging
Srodne53
SažetakGlobal Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset.Local Kriging is a spatially adaptive geostatistical interpolation method that restricts each prediction to a moving neighborhood of nearby observations, fitting a variogram model locally within that window. This allows spatial covariance structure to vary across the study region rather than imposing a single global variogram, making it better suited to large or non-stationary spatial fields.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretraživanje Preuzmi prezentaciju

ScholarGateUsporedite metode: Global Kriging · Local Kriging. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare