This paper considers spatial distribution of industrial activities and effective factors on such a distribution. Ellison and Glaeser’s spatial concentration index, has been used for measureing spatial distribution of industry. This index has been calculated by Ad-value variable for 30 provinces of Iran and for period of 2006-2013. So, The spatial panel data model has been used in order to...

The study of geographical extent of precipitation pattern is important because of its impact on agriculture, water resources, tourism, industry, dams, and irrigation. The principal component analysis (PCA), as an elegant mathematical tool, was applied for the regionalization of winter precipitation in central south Iran (Fars, Boushehr, and Kohgiloye and Boyerahmad Provinces). Averaging monthly...

Hazard is potential source of harm or a situation to create a damage. So identification of zones exposed to hazards is necessary for planning or land use planning. But this situation becomes more critical when they appear at the population centers. So applying the principle of passive defense based on environmental capabilities is unarmed action that caused the reduction of human resources vuln...

Introduction: Critical thinking training is one of the most important missions of educational institutes. Hence, academic libraries as an inseparable operational unit of higher education must help their users to benefit from information resources and facilities providing them with the chance to develop and improve critical thinking capability. This study aimed to investigate significant barrier...

Today, competitiveness has become one of the most applied concepts in regional and urban studies. The reason, why much attention has been devoted to this concept is the changes in the world economy, demographical changes of countries, changes in social structures and activities. This research aimed to conduct a spatial analysis of competitiveness of Iran provinces based on educational factors. ...

The study of geographical extent of precipitation pattern is important because of its impact on agriculture, water resources, tourism, industry, dams, and irrigation. The principal component analysis (PCA), as an elegant mathematical tool, was applied for the regionalization of winter precipitation in central south Iran (Fars, Boushehr, and Kohgiloye and Boyerahmad Provinces). Averaging monthly...

In the last decades, climate change and fluctuation of water balance have been the main reason to apply hydrologic models for estimating quality and quantity of water components as efficient tools in water planning of critical conditions. In addition, these hydrologic models with potential to study the effects of watershed management practices on the runoff components are suitable tools for opt...