Results 131 to 140 of about 3,258 (185)
Exploring geospatial link between soils and national intelligence quotient. [PDF]
Sci RepErşahin S, Tohumcu F, Çallı R.
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Malaria hotspots and risk factors among children under-five years of age across eight West African countries: A geospatial analysis of DHS data. [PDF]
Malariaworld JAidé ES +4 more
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Modelling Approaches for Predicting the Distribution of Skin NTDs: A Systematic Review
Bushara MA +6 more
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Soil variability and geostatistics
Proceedings of the Royal Netherlands Academy of Sciences: Biological, chemical, geological, physical and medical sciences, 1995 openaire +2 more sources
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2006
Abstract Extensive geostatistical modeling of data from the Bachaquero fields (east coast of Lake Maracaibo, Venezuela) has been conducted within the framework of a large-scale integrated study. These stochastic models have been used for several reservoir-management applications, where a fast and effective response is necessary to ...
L. Cosentino +2 more
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Abstract Extensive geostatistical modeling of data from the Bachaquero fields (east coast of Lake Maracaibo, Venezuela) has been conducted within the framework of a large-scale integrated study. These stochastic models have been used for several reservoir-management applications, where a fast and effective response is necessary to ...
L. Cosentino +2 more
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1988
Geostatistics is the statistics of spatially or temporally correlated data. Thickness of a stratigraphic unit is spatially correlated; at a particular locale, the thickness is probably constant, but the similarity in thickness varies with distance. In the subsurface, thickness can be estimated from that observed in nearby wells.
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Geostatistics is the statistics of spatially or temporally correlated data. Thickness of a stratigraphic unit is spatially correlated; at a particular locale, the thickness is probably constant, but the similarity in thickness varies with distance. In the subsurface, thickness can be estimated from that observed in nearby wells.
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The American Statistician, 1989
Most data have a space and time label associated with them; data that are close together are usually more correlated than those that are far apart. Prediction (or forecasting) of a process at a particular label where there is no datum, from observed nearby data, is the subject of this article.
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Most data have a space and time label associated with them; data that are close together are usually more correlated than those that are far apart. Prediction (or forecasting) of a process at a particular label where there is no datum, from observed nearby data, is the subject of this article.
openaire +3 more sources