urban settlements and their connectivity will be the dominant driver of global change during the twenty-first century. in an attempt to assess the effects of urban growth on available land for other uses and its associated impacts on environmental parameters, we modeled the change in the extent of gorgan city, the capital of the golestan province of iran. we used landsat tm and etm+ imagery of ...

rapidly increasing urbanization in the world, especially in developing countries, let to increasing urban extents. rapid urban growth causes to appearance many problems such as wasting environmental resources, inability of providing necessary services for citizens and unplanned growth. urban mangers and planners need tools for understanding amount and size of future urban growths to prevent the...

transformation of land use-land cover change occurs due to the numbers and activities of people. urban growth modeling has attracted authentic attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made. this study applied logistic regression to model urban growth in the ahvaz metropolitan area of khuzestan province in idrisi selva software a...

logistic regression (lr) was used to model urban growth between the years 1987 and 2001 in gorgan city, north east of iran. three groups of variables including economic-social, land use and biophysical variables were used in the modeling practice. using covariance of the independent variables, distance to administrative and sporting centers plus distance to cities were removed. roc (relative op...

The present paper focuses on determining the most important factors affecting urban growth in large cities of Iran through modeling and comparing the common and diverse points of urban growth obtained from other studies. For this purpose, by reviewing the theoretical concepts associated with urban growth, quantities and measurable variables are developed as proper frameworks to study the influe...

the complexity of urban systems in our recent world, make it difficult to evaluation and explanation of their changes with traditional and customarily methods. in the past, remote sensing has shown an ability to detect and describe urban growth patterns at different spatial scales. with new remote sensing devices (e.g. ikonos), with innovative image processing techniques and with further develo...

Transformation of land use-land cover change occurs due to the numbers and activities of people. Urban growth modeling has attracted authentic attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made. This study applied logistic regression to model urban growth in the Ahvaz Metropolitan Area of Khuzestan province in IDRISI Selva software a...

Developing countries have been undergoing dramatic urban growth over the past three decades. It is essential to understand and simulate the urban growth process for smart urban planning and sustainable development purposes. Cellular automata (CA) modeling is an efficient approach to simulating urban land use/cover change; however, the traditional CA method has limitations in simulating the vari...