Spatial modeling of rare events has obvious applications in the environmental sciences and is crucial when assessing the effects of catastrophic events (such as heatwaves or widespread flooding) on food security and on the sustainability of societal infrastructure. Although classical geostatistics is largely based on Gaussian processes and distributions, these are not appropriate for extremes, ...

Geographic location is a key component for information retrieval on the Web, recommendation systems in mobile computing and social networks, and place-based integration on the Linked Data cloud. Previous work has addressed how to estimate locations by named entity recognition, from images, and via structured data. In this paper, we estimate geographic regions from unstructured, non geo-referenc...

Risk maps estimating the spatial distribution of infectious diseases are required to guide public health policy from local to global scales. The advent of model-based geostatistics (MBG) has allowed these maps to be generated in a formal statistical framework, providing robust metrics of map uncertainty that enhances their utility for decision-makers. In many settings, decision-makers require s...

Geostatistics have become the dominant tool for probabilistic estimation of properties of heterogeneous formations at points where data are not available. Ordinary kriging, the starting point in development of other geostatistical techniques, has a number of serious limitations, chief among which is the intrinsic hypothesis of the (second order) stationarity of the underlying random field. Atte...

Measurements of saturated hydraulic conductivity (Ks) in the field are costly, time-consuming, and relatively cumbersome, chiefly as hydraulic conductivity exhibits a large spatial variability, so that it becomes difficult to find accurate representative values to correctly predict soil-water flow and design irrigation and drainage systems. Ks was measured in seven different soils in Egypt to e...

7 Short title: Landscape-based geostatistics 8 9 Olaf P. Jensen, Mary C. Christman, and Thomas J. Miller 10 11 12 University of Maryland Center for Environmental Science Chesapeake Biological 13 Laboratory, P.O. Box 38, 1 Williams St., Solomons, MD 20688 14 15 Current address: University of Wisconsin Center for Limnology, 680 N Park St., 16 Madison, WI 53706, USA 17 18 Dept. Animal and Avian Sc...

This paper presents four diierent approaches for estimating the average value of a soil property over a region, say a province, from point data: 1) arithmetic average, 2) declustered mean, 3) block kriging, and 4) stochastic simulation. The last two techniques are based on geostatistics which allows one to account for the pattern of spatial dependence of observations while providing a measure o...

This paper is continuation work of a research started in 2005. In the previous research, variety of fuzzy digital elevation models was constructed and the best fit model was selected in order to present an alternative in modelling height information. The previous study revealed that fuzzy digital elevation model gave satisfied result compared with the result from TIN (Triangulated Irregular Net...