Nowadays, kriging has been accepted as the most common method of grade estimation in mineral resource evaluation stage. Access to the crisp assay data and a variogram model are the necessary means for the utilization of this method. Since fitting a crisp variogram model is generally difficult, if not impossible, the fitted theoretical model is usually tainted with uncertainty due to various rea...

Abstract The presence of an economical solution to predict soil behaviour is essential for new construction areas. This paper aims investigate the ultimate interpolation method predicting bearing capacity An-Najaf city-Iraq based on field investigation information. Firstly, engineering was calculated in-site N-SPT values using dynamic loading 464 boreholes with depths 0–2 m, Meyerhof formula. d...

Obtaining large-scale, long-term, and spatial continuous soil moisture (SM) data is crucial for climate change, hydrology, water resource management, etc. ESA CCI SM such a large-scale long-term (longer than 40 years until now). However, there exist gaps, especially the area of China, due to limitations in remote sensing as complex topography, human-induced radio frequency interference (RFI), v...

Information about the distribution and abundance of the habitat-forming sessile organisms in marine ecosystems is of great importance for conservation and natural resource managers. Spatial interpolation methodologies can be useful to generate this information from in situ sampling points, especially in circumstances where remote sensing methodologies cannot be applied due to small-scale spatia...

Efficient soil management practices depend on the spatial distribution of soil properties which varies significantly even within the same field. Considering that it is impossible for any monitoring technique to provide spatially continuous data, spatial interpolation plays an indispensable role in estimating the missing values where no actual value was measured. The objective of this study was ...