GUST
发表于 2025-3-21 16:35:36
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真
发表于 2025-3-21 20:36:45
https://doi.org/10.1007/978-3-319-41758-5Geostatistical Analysis; Kriging; Prediction Methods; Spatial Dependence; Spatial Simulation; Spatial Var
Tracheotomy
发表于 2025-3-22 02:17:35
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慢跑鞋
发表于 2025-3-22 06:43:37
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fetter
发表于 2025-3-22 09:13:17
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MAOIS
发表于 2025-3-22 15:22:27
Sampling and Deterministic Modeling Methods,ists in the earth sciences domain so that she/he can continue for better description and modeling of the phenomenon concerned. For this purpose, field, laboratory, or satellite observations and measurements are basic foundation lines toward a successful problem solution. Sampling categorization of t
服从
发表于 2025-3-22 19:24:30
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种植,培养
发表于 2025-3-22 22:22:21
Classical Spatial Variation Models,ch are supposed to represent regional dependence structure of the phenomenon concerned. Unfortunately, commonly employed weighting functions are not actual data dependent, and hence they are applicable invariably in each spatial prediction, which is not convenient since each spatial phenomenon will
Oversee
发表于 2025-3-23 02:28:09
Spatial Dependence Measures,ior to such a functional derivation, it is necessary to examine the isotropy and homogeneity of the spatial data directionally and pointwise features of the regionalized variable (ReV). The basics of semivariogram (SV) with its different components such as sill, nugget, and radius of influence are p
埋葬
发表于 2025-3-23 08:21:44
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