one of the major strengths of a geographic information system (gis) in geosciences is the ability to integrate and combine multiple layers into mineral potential maps showing areas which are favorable for mineral exploration. these capabilities make gis an extremely useful tool for mineral exploration. several spatial modeling techniques can be employed to produce potential maps. however, these...

land cover mapping is important for many planning and management activities. today, satellite images and remote sensing techniques are extensively used in all sectors including agriculture and natural resources because they provide updated data and high analyzing abilities. in this study, in order to produce land cover map for the northern part of hamedan province , digital satellite data irsp6...

A Bayesian geostatistical model was developed to predict the intensity of infection with Schistosoma mansoni in East Africa. Epidemiological data from purpose-designed and standardized surveys were available for 31,458 schoolchildren (90% aged between 6 and 16 years) from 459 locations across the region and used in combination with remote sensing environmental data to identify factors associate...

Big spatial datasets are very common in scientific problems, such as those involving remote sensing of the earth by satellites, climate-model output, small-area samples from national surveys, and so forth. In this article, our interest lies primarily in very large, non-Gaussian datasets. We consider a hierarchical statistical model consisting of a conditional exponentialfamily model for the dat...

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...