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Linganisha mbinu

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Njia ya Uzito wa Umbali wa Kinyume (IDW)×Cokriging×
NyanjaUchanganuzi wa KimaeneoUchanganuzi wa Kimaeneo
FamiliaRegression modelRegression model
Mwaka wa asili19681963
MwanzilishiDonald ShepardGeorges Matheron (geostatistics); multivariate extension
AinaDeterministic spatial interpolationMultivariate geostatistical interpolation
Chanzo asiliaShepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 23rd ACM National Conference, 517–524. DOI ↗Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗
Majina mbadalaIDW, inverse distance interpolation, Shepard's method, ters mesafe ağırlıklı enterpolasyonco-kriging, multivariate kriging, ortak kriging
Zinazohusiana33
MuhtasariInverse distance weighting is a simple, deterministic method for estimating values at unsampled locations by taking a weighted average of nearby measured points, where closer points carry more weight. Introduced by Donald Shepard in 1968, it embodies the first law of geography — near things are more related than distant things — and is one of the most widely used interpolation methods in GIS for mapping continuous fields such as rainfall, elevation, or pollution from scattered samples.Cokriging extends kriging to use one or more correlated secondary variables to improve prediction of a primary variable. When the variable of interest is sparsely sampled but a related, cheaper-to-measure variable is densely sampled, cokriging borrows strength from the secondary variable through their cross-correlation, yielding more accurate interpolations and prediction variances than kriging the primary variable alone.
ScholarGateSeti ya data
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  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Inverse Distance Weighting · Cokriging. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare