abstract- the information on the spatial properties of soil is vital to improve soil management and to increase the crop productivity. geostatistical analysis technique is one of the most important methods for determining the spatial properties of soil. the aim of this study was to investigate spatial variability of soil chemical and physical attributes for field management in eastern shiraz, i...

So far, many types of location models have been developed to find optimal spatial patterns according to different spatial metrics such as cost, coverage and availability.  The initial focus of these models is on the location availability of service providers and demand estimates, and some of these models are within the framework of multi-objective programming models.  After the advent of scienc...

Spatial processes with nonstationary and anisotropic covariance structure are often used when modeling, analyzing, predicting complex environmental phenomena. Such may be expressed as ones that have stationary isotropic on a warped spatial domain. However, the warping function is generally difficult to fit not constrained injective, resulting in “space-folding.” Here, we propose modeling an inj...

poverty can have spatial dimensions. while general figures might show the spatial pattern of poverty, there is a need for more detailed examination of this pattern. relying on simple figures of spatial patterns and ranking regions based on them might be misleading. this paper tries to apply spatial analysis methodsm, namely spatial autoregressive models to find out the impacts of space on the h...