background:although intellectual disability (id) is a common disability in iran, there is no investigation on the spatial distribution pattern of these patients in national level and the spatial maps for recognition the areas with higher prevalence of ids and local neighborhoods of these regions or effect of socio-demographic factor on this scattering is not still available. this proposition mo...

multiple sclerosis (ms) is a disease with high disabling disorders and considerable social and economic impacts. this study was conducted to analyze the spatial distribution of ms disease in tehran, iran during 2001-2012.the existing information in the ms patients' medical files who had registered in iranian ms society (imss), located in tehran office, was used for analysis. the relationship be...

ecotourism as the most attractive subset of the tourism industry can contribute to natural resource conservation and local development. although great numbers of people annually visit abbasabad area, in veresk, mazandaran, to enjoy its brilliant landscape and moderate ecologic condition, there is no applicable plan for many natural attractive zones in this area. as a result, some specific well ...

water use productivity is one of the most important factors in scientific agriculture. it is equal to 0. 7 kg of production per cubic meter of irrigation water (kg/m3) in iran which is very low in comparison with advanced countries (1 to 2 kg/m3). current research studies temporal and spatialchanges of water use productivity in hamedan province in iran using geographic information system (gis),...

PyGRASS is an object-oriented Python Application Programming Interface (API) for Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS), a powerful open source GIS widely used in academia, commercial settings and governmental agencies. We present the architecture of the PyGRASS library, covering interfaces to GRASS modules, vector and raster data, with a focus ...

This paper presents an automated approach for deriving gridded a pri1 ori parameters for the National Weather Service (NWS) Sacramento Soil 2 Moisture Accounting (SAC-SMA) model from the Soil Survey Geographic 3 (SSURGO) Database and National Land Cover Database (NLCD). Our ap4 proach considerably extends methods previously used in the NWS and of5 fers automated and geographically invariant way...