Based on the geo-statistical theory and ArcGIS geo-statistical module, datas of 30 groundwater level observation wells were used to estimate the decline of groundwater level in Beijing piedmont. Seven different interpolation methods (inverse distance weighted interpolation, global polynomial interpolation, local polynomial interpolation, tension spline interpolation, ordinary Kriging interpolat...

Iran is one of the world's arid regions and exposed to dust particles in the air. This is important in spatial and temporal terms as well as the affects human health. In this paper a day when due to the amount of dust particles visibility reduces to 5,000 m is considered the dusty day. In the spatial and temporal analysis of dusty days 38 synoptic stations were studied. In order to conduct data...

Iran is one of the world's arid regions and exposed to dust particles in the air. This is important in spatial and temporal terms as well as the affects human health. In this paper a day when due to the amount of dust particles visibility reduces to 5,000 m is considered the dusty day. In the spatial and temporal analysis of dusty days 38 synoptic stations were studied. In order to conduct data...

Machine learning methods, like random forest (RF), have shown their superior performance in various disciplines, but have not been previously applied to the spatial interpolation of environmental variables. In this study, we compared the performance of 23 methods, including RF, support vector machine (SVM), ordinary kriging (OK), inverse distance squared (IDS), and their combinations (i.e., RFO...

Areal interpolation is the process of transferring data collected over source zones to target zones. One of the applications of areal interpolation is to construct temporally consistent areal units for comparing socioeconomic data over time. Dasymetric modeling is the process of employing ancillary data to spatially refine the distribution of socioeconomic variables. In this paper, three areal ...

abstract understanding distribution of physical and chemical soil parameters is very important in recognizing, planning, and soil and water resources management in precision agriculture. regard to the problems related to direct measurement, finding solution to estimate these parameters are very essential. the purpose of this study was to evaluate the spatial variation of some soil parameters su...