spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. in this paper we consider daily averages of troposphere ozone over tehran city. for eliminating the trend of data, a dynamic linear model is used, then some featu...

interest rate ad valorem tariffs are considered as the most prominent trade tools extensively used in the framework of spatial equilibrium models (sems) to analyze agricultural and food trade policies around the world. however the results obtained from such models have been criticized because of their inadequacy in producing any observed data within the base period. hence a positive spatial and...

introduction: market power is an important factor affecting welfare. existence of market power on the purchase side reduces supplier welfare. however, existence of market power on the sales side reduces supplier welfare. some believe that the agricultural market structure is a monopoly. in fact, most of the agricultural products can be purchased by small firms and then delivered to consumers be...

one of the methods used in the analysis of data related to diseases, and their underlying reasons is drawing geographical map. mapping diseases is a valuable tool to determine the regions of high rate of infliction requiring therapeutic interventions. the objective of this study was to investigate obesity pattern in iran by drawing geographical maps based on bayesian spatial model to recognize ...

in recent years, iran has experienced high level depreciation of the nominal exchange rate (ner). the ultimate effects of such depreciation on iranian families’ welfare and income distribution have been a challenging issue among policymakers and researchers. accordingly, this study evaluates the economic effects of ner depreciation on the rice market, using spatial price equilibrium model. the ...

study of the spatial variability of infiltration characteristics is essential to estimating infiltration parameters on a local scale. the objectives of the present study were to scale the parameters of a philip two-term model for infiltration and survey the variability of infiltration characteristics geostatistically using wastewater in the bajgah catchment. infiltration was measured at 30 poin...

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...