A spatial analysis of ground-water yields has been performed that expands upon previous work by Drew and others (1999) in which the spatial continuity of 939 water well yields within the Pinardville quadrangle, New Hampshire, has been associated with the fracture properties of the crystalline basement rocks. This expanded analysis was performed on updated and new geologic map data, new fracture...

This study applies variogram analyses of normalized difference vegetation index (NDVI) images derived from SPOT HRV images obtained before and after the ChiChi earthquake in the Chenyulan watershed, Taiwan, as well as images after four large typhoons, to delineate the spatial patterns, spatial structures and spatial variability of landscapes caused by these large disturbances. The conditional L...

determining the promising area for ore deposits is one of the most important steps of prospecting in regional scales. there are many different methods for identifying these areas including geochemical and geophysical methods, remote sensing and sophisticated statistical methods. based on the theory of spatial relations between the dispersion pattern of ore deposits and metallogenic provinces, m...

Filigree lattice structures are sensible to geometrical imperfections and the scatter of material parameters which all depend on stability manufacturing process. The aim this study is analyze these effects for polymer incorporate them in a finite element model robust design. Micrographs structure slices show smaller diameter vertical struts. Basic mechanical tests bulk exhibit tension–compressi...

Delineation of oxide and sulfide zones in mineral deposits, especially in gold deposits, is one of the most essential steps in an exploration project that has been traditionally carried out using the drilling results. Since in most mineral exploration projects there is a limited drilling dataset, application of geophysical data can reduce the error in delineation of the sulfide and oxide zones....

The book discussed in this review is one of the most recent additions to Springer's series on\Statistics and Computing". In contrast to many other books in that series, where multi{purpose statistical packages such as S PLUS R and XploRe are the matter of interest, Pannatier's book covers a very specialized collection of four Windows programs that can be used for spatial data analysis and vario...

Theoretical and empirical foundations of how radio waves behave in practical wireless channels need to be fully revisited for millimeter-wave (mmWave) frequencies so that fifth-generation (5G) technologies may successful. Kriging is an outstanding geostatistal interpolation technique employs variography understand the spatial variability known samples at specific locations predict unmeasured sa...

In the times of wide uses of commercialized high resolution satellite imageries, urban remote sensing is regarded as one of the important application fields. Currently, the main subjects and issues in urban remote sensing focus on the various attempts and approaches for these types of image data sets, distinguished from conventional image processing in remote sensing. Three types of different s...

Support Vector Machines (SVM) is a new machine learning approach based on Statistical Learning Theory (Vapnik-Chervonenkis or VC-theory). VCtheory has a solid mathematical background for the dependencies estimation and predictive learning from finite data sets. SVM is based on the Structural Risk Minimisation principle, aiming to minimise both the empirical risk and the complexity of the model,...