Abstract Heterogeneity is a vital spatial feature for subsurface resource recovery predictions, such as mining grade tonnage functions, hydrocarbon factor, and water aquifer draw-down predictions. Feature engineering presents the opportunity to integrate heterogeneity information, but traditional engineered features like Dykstra-Parsons Lorenz coefficients ignore context; therefore, are not suf...

To obtain regression parameter estimates in generalized estimation equation modeling, whether longitudinal or spatially correlated data, it is necessary to specify the structure of working correlation matrix. The can be affected by choice this Within spatial statistics, matrix also influences how variability modeled. Therefore, study proposes a new method for selecting matrix, based on conditio...

The objective of this study was to map the spatial distribution of aboveground carbon stock (using Regression-kriging) of arboreal plants in the Atlantic Forest, Semi-arid woodland, and Savanna Biomes in Minas Gerais State, southeastern Brazil. The database used in this study was obtained from 163 forest fragments, totaling 4,146 plots of 1,000 m2 distributed in these Biomes. A geographical mod...

VESPER 1.5 is a shareware software program, written to provide rigourous spatial prediction techniques for the precision agriculture industry. It offers a range of options to deal with data sets of varying data density, spatial distribution, and observation uncertainty. Such data sets are now gathered from a range of realtime yield, soil and crop sensors and through manual sampling regimes. Spe...