salinity is a phenomenon that does not satisfy the crop water requirement and leads reduction vegetation. to control of this phenomenon requires appropriate management and monitoring of spatial and temporal salinity variations from the past to the present in this study the spatial and temporal changes of soil salinity of irrigation and drainage network located in garmsar, iran, is investigated ...

the complexity of urban systems in our recent world, make it difficult to evaluation and explanation of their changes with traditional and customarily methods. in the past, remote sensing has shown an ability to detect and describe urban growth patterns at different spatial scales. with new remote sensing devices (e.g. ikonos), with innovative image processing techniques and with further develo...

abstractprecipitation could be regarded as a complex and a very vital element in the earth atmosphere and its spatial-temporal changes can control iran's climate. in the current research, in order to model the spatial-temporal changes of annual precipitation, the data taking from 50 synoptic stations, have been analyzed during the years 1966-2005, with a suitable distribution. the most dat...

zayanderoud basin is one of the important agricultural areas in country level because of climatic variety and resuscitative water of zayanderoud river. since frost phenomenon especially late spring frost incurs great damages on fruit trees and agricultural products of this region, it is necfessary to study frost in this basin.in this research, the intensity of frost during cold period and sprin...

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...