Many applications in spatial statistics, geostatistics and image analysis require efficient techniques for sampling from large Gaussian Markov random fields (GMRFs). A suite of methods, based on the Cholesky decomposition, for sampling from GMRFs, sampling conditioned on a set of linear constraints, and computing the likelihood were presented by Rue (2001). In this paper, we present an alternat...

for the purposed water resources management, irrigation scheduling, water usage optimization and gaining maximum yield two step fao method was applied to determine the water requirement (evapotranspiration) of sugar beet.  in this paper reference evapotranspiration were computed from recorded meteorological data at 38 weather stations using the hargreaves-samani method; and then through applyin...

The minimal change disease (MCD) and glomerulosclerosis (GS) are two common kidney diseases. Unless adequately treated, these diseases leads to chronic Accurate differentiation of is paramount importance as their methods treatment prognoses different. Thus, this article propose a method capable differentiating MCD from GS in glomerulus biopsies images based on new hybrid deep texture feature sp...

The aim of this study is to explore the relationship between, transport, land-use and air quality and mapping of air pollutants by means of spatial information sciences, which would provide useful information for decision-makers. Integrated transport, land-use and air quality monitoring are prioritized especially in metropolitan areas. The complexity is straight forward, since data, indicators,...