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...

introduction : this study was aimed to investigate the effects of risk factors, and environmental and climatic factors a ffecting the occurrence of crimean-congo hemorrhagic fever (cchf) in iran. we used temporal modeling to predict the future occurrence of the disease in the country . methods : we analyzed the data of 165 cchf patients from all over iran (e xcept the districts zabol and zaheda...

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...

geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...

geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...

Introduction : This study was aimed to investigate the effects of risk factors, and environmental and climatic factors a ffecting the occurrence of Crimean-Congo hemorrhagic fever (CCHF) in Iran. We used temporal modeling to predict the future occurrence of the disease in the country . Methods : We analyzed the data of 165 CCHF patients from all over Iran (e xcept the districts Zabol and Zaheda...

Recently many process modelling approaches have been developed. However, in most of these approaches, it is often assumed that the processes in an organisation are clearly deened, and therefore the emphasis of process modelling is often put on the nal representation of the organisational process. However, in reality, processes are often not clearly deened. It is important to provide mechanisms ...

An organizational modeling language can be used to specify an agent organization in terms of its roles, organizational structure, norms, etc. Such an organizational specification imposes constraints on agents that play roles in it, and the agents are expected to take this into account when deciding what to do. This means that agents need to have a basic understanding of what it means to comply ...

 Fitting a suitable covariance function for the correlation structure of spatial-temporal data requires de-trending the data. In this article, some potential models for spatial-temporal trend are presented. Eventually the best model will be announced for de-trending tropospheric ozone concentration data for the city of Tehran (Capital city of Iran). By using the selected trend model, some ...