Non-Stationary Semivariogram Analysis Using Real Estate Transaction Data
Geostatistical model is one of spatial statistical methodologies used for correcting spatial autocorrelation problem. To apply this model, two common assumptions should be made to allow global homogeneity: spatial continuity and spatial stationary.
Srikhum, Piyawan, Simon, Arnaud
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GIS-based soil bearing capacity zonation maps for the Dhaka metropolitan development plan (DMDP) area, Bangladesh. [PDF]
Rahman MS, Alajlan ZS, Ansary MA.
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Empirical semivariograms for kriging interpolation
Kriging interpolation is one of the more interesting techniques introduced in the field of surrogate modeling in the last years. This technique has been motivated by the necessity of data interpolation in the geological field in the late sixties. This approach is founded on the availability of the so called "variogram", defined as "a curve representing
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Exploring geospatial link between soils and national intelligence quotient. [PDF]
Erşahin S, Tohumcu F, Çallı R.
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Spatiotemporal Variability Analysis of PM<sub>2.5</sub> and O<sub>3</sub> Pollution Characteristics in the Fenwei Plain. [PDF]
Xue J, Wang Y, Fan T, Peng J.
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Delineating soil fertility management zones using geostatistics and fuzzy clustering in semi-arid maize systems in India. [PDF]
Bhagwan PV +6 more
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Comparison of geostatistical and response surface methodology for estimating soil saturated hydraulic conductivity. [PDF]
Cheng L.
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Long-term ecological studies must continue: insights from a dryland transition zone. [PDF]
Le VH, Collins SL, Vargas R.
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Spatial variability of soil physicochemical properties in soybean wheat belts in Vertisols of central India. [PDF]
Subhash M +12 more
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Delineation and evaluation of management zones for site-specific nutrient management using a geostatistical and fuzzy C mean cluster approach. [PDF]
Bhagwan PV +7 more
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