Rapidly growing urban areas tend to reveal distinctive spatial and temporal variations of land use/land cover in a locally urbanized environment. In this article, the author analyzes urban growth phenomena at a local scale by employing Geographic Information Systems, remotely sensed image data from 1984, 1994, and 2004, and landscape shape index. Since spatial patterns of land use/land cover ch...

This paper presents a research that integrates remote sensing, GIS, and dynamic spatial modeling for predicting urban spatial growth with different development conditions considered. The study area has been a fast growing American metropolis. The prediction is based on a cellular automate urban growth model governed by a set of complex transition rules combining both socio-economic and biophysi...

A methodology is developed to relate urban growth studies to distributed hydrological modeling using an integrated approach of remote sensing and GIS. This linkage is possible because both studies share land-use and land-cover data. Landsat Thematic Mapper data are utilized to detect urban land-cover changes. GIS analyses are then conducted to examine the changing spatial patterns of urban grow...

This paper presents a linguistic approach for modeling urban growth. The authors developed a methodological framework which utilizes Fuzzy Set theory to capture and describe the effect of urban features on urban growth and applies Cellular Automata techniques to simulate urban growth. Although several approaches exist that combine Fuzzy Logic and Cellular Automata for urban growth modeling, the...

Cities provide homes for over half of the world’s population, and this proportion is expected to increase throughout the next century. The growth of cities raises many questions and challenges for urban planning including which cities and regions are most likely to grow, what the pattern of urban growth will be, and how the existing infrastructure will cope with such growth. One way to explore ...

In this paper, the historical trend of urban growth and the associated drivers were examined through econometric analysis for the rapidly growing Grafton area in the State of Wisconsin. Specifically, panel data analysis was carried out to examine the drivers of urban growth such as demographic factors, location of jobs, travel time, housing types, property values, etc. Results reveal that panel...