charcoal rot caused by macrophomina phaseolina is an important disease of soybean throughout the world. to understand the spatial distribution of soybean charcoal rot incidence and m. phaseolina populations in golestan province, 172 soybean fields were surveyed for population density, in two successive years, and integrated with geographic information system (gis). each year, 60 fields were als...

Ramon Hanssen is assistant-professor in geostatistics, working on radar remote sensing for geodetic applications. Peter Teunissen is professor of Mathematical Geodesy and Positioning and authored the Lambda method. Peter Joosten graduated at the Faculty of Geodesy of Delft University of Technology. The authors are currently engaged in the development of ambiguity resolution algorithms for GPS d...

Geostatistics provides quantitative indicators to characterize the spatial distribution of soil attributes which follow the regionalized variable theory. The present study aimed at applying Geostatistics to enhance the resolution of a regional soil map at East El-Owienat area which surveyed by one profile for each four kilometers. Studied area was extracted over 71 thousand feddans where six so...

The distribution of S and L strains of Aspergillus flavus shows a stable structure based on spatial analysis with GIS/ geostatistics, that was not previously realized. This information will be exceptionally useful to programs involved with or planning large scale treatments to reduce aflatoxin threats because it can be used to spatially focus treatments.

Traditional spectral classification of remote sensing data applied on per pixel basis ignores the potentially useful spatial information between the values of proximate pixels. Although spatial information extraction has been greatly explored, there have been limited attempts to enhance classification by combining spectral and spatial information. This improvement would arise from the hypothesi...

Inverse problems in geophysics require the introduction of complex a priori information and are solved using computationally expensive Monte Carlo techniques where large portions of the model space are explored . The geostatistical method allows for fast integration of complex a priori information in the form of covariance functions and training images. We combine geostatistical methods and inv...

A variety of methods have been used to make evolutionary inferences based on the spatial distribution of biological data, including reconstructing population history and detection of the geographic pattern of natural selection. This article provides an examination of geostatistical analysis, a method used widely in geology but which has not often been applied in biological anthropology. Geostat...

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, ...

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