Poverty mapping in developing countries has become an increasingly important tool in the search for ways to improve living standards in an economically and environmentally sustainable manner. Although the classical econometric methods provide information on the geographic distribution of poverty, they do not take into account the spatial dependence of the data and generally they do not consider...

We present new instruments for solving the "best site selection" problem in a sequential setting, and we propose a comparison with classical non-sequential methods based on the Value of Information. The main motivation is selection of drilling sites in an oil and gas field, when there are several correlated prospects. We discuss the properties and the methods required for designing our optimal ...

background and aim: spatial hearing is one of the most important functions of binaural hearing processing that is based on detection of fine interaural time and interaural intensity difference. spatial hearing is beyond auditory localization and lateralization. it helps auditory scene analysis and target stream segregation from other simultaneous sound sources. this function is important in spe...

Covariance functions and variograms play a fundamental role in exploratory analysis and statistical modelling of spatial and spatio-temporal datasets. In this paper, we construct a new class of spatial covariance functions using the Fourier transform of some higher-order kernels. Moreover, we extend this class of spatial covariance functions to the spatio-temporal setting using the idea used in...

soil salinity is a limiting factor for plant growth and a serious cause of land degradation. field sampling and statistical analysis for estimating soil salinity is expensive and time consuming. estimating soil salinity by spatial statistical models and geographic information system (gis) is recommended, because it saves labor and time. this study was conducted to evaluate the performance of sp...