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2007
DOI: 10.1016/j.compenvurbsys.2005.07.006
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Predicting air pollution using fuzzy membership grade Kriging

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Cited by 31 publications
(18 citation statements)
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“…where h is the separate vector between two the spatial points s+h and s [3,9,10,11] Fig. 3 shows the relative elevation.…”
Section: Restionaceae and Hydrological Variablementioning
confidence: 99%
See 1 more Smart Citation
“…where h is the separate vector between two the spatial points s+h and s [3,9,10,11] Fig. 3 shows the relative elevation.…”
Section: Restionaceae and Hydrological Variablementioning
confidence: 99%
“…Kriging is an interpolation procedure that uses collected observations and a semivariogram, in order to determine the values of non-sampled locations, and the procedures involved in kriging does incorporate measures of error and uncertainty when determining the estimations. Ordinary kriging is a form of kriging which uses a location-dependent weighted average, of the observed data values, collected from the given locations, where the weights depend on the spatial correlation structure of the data itself [3,9,10,11].…”
Section: Restionaceae and Hydrological Variablementioning
confidence: 99%
“…Kriging is an interpolation procedure which uses collected observations and a semivariogram to determine the values of non-sampled locations; the procedures involved in kriging incorporate measures of error and uncertainty when determining estimations. Ordinary kriging is a type of kriging that uses a location-dependent weighted average of the observed values colleted from the given locations, where the weights depend upon the spatial correlation structure of the data [13,14,15].…”
Section: Elegia Filaceamentioning
confidence: 99%
“…Where h is the separate vector between two spatial points s+h and s [13,14,15]. The semi-vario gram model used in this study is as follows:…”
Section: Elegia Filaceamentioning
confidence: 99%
“…Kriging is an interpolation procedure using observations collected and a semivariogram to determine the values on non-sampled locations, and the procedures involved in kriging incorporate measures of error and uncertainty when determining estimations. Ordinary kriging is a type of kriging is a location-dependent weighted average of the observational valued from the given locations, where the weights depend upon the spatial correlation structure of the data [4]- [6]. Ordinary Kriging is a linear predictor [4], [5]: …”
Section: Temperature Reconstruction In South Africamentioning
confidence: 99%