Due to complexity, vegetation analysis and reconstruction of remote sensing data are challenging problems. Using architectural tree models combined with model inputs estimated from aerial image analysis, this paper presents an analysis– synthesis approach for urban vegetation detection, modeling, and reconstruction. Tree species, height, and crown size information are extracted by aerial image ...

This paper examines the inter-relationship of three major phenomena- population growth, uncontrolled urban expansion and urban development in Ado Ekiti, Nigeria. Uncontrolled urban expansion has a resultant effect on the urban development of a city whereas uncontrolled urban development is caused by uncontrolled population increase is caused by Migration. This work encapsulates how population g...

Understanding urban growth spatiotemporally is important for landscape and urban development planning. In this study, we examined the spatiotemporal pattern of urban growth of the Colombo Metropolitan Area (CMA)—Sri Lanka’s only metropolitan area—from 1992 to 2014 using remote sensing data and GIS techniques. First, we classified three land-use/cover maps of the CMA (i.e., for 1992, 2001, and 2...

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...

Managing and modelling urban growth is a multi-faceted problem. Cities are now recognised as complex systems through which non-linear and dynamic processes, emergence and self-organisation occur. The design of a system that can handle these complexities is a challenging prospect. This paper presents an urban planning tool for the city of Riyadh, Saudi Arabia. At the core of the system is a Fuzz...

Automata-based models have enjoyed widespread application to urban simulation in recent years. Cellular automata (CA) and multi-agent systems (MAS) have been particularly popular. However, CA and MAS are often confused. In many instances, CA are paraphrased as agent-based models and simply re-interpreted as MAS. This is interesting from a geographical standpoint, because the two may be distingu...

Urban growth is dynamic and complex spatial process that has severe environmental and social impacts. High population growth results in the transformations of forested areas or high quality agricultural lands into urban land-use. The study and modeling of the urban growth and land-use change processes are complex due to the difficulties to represent the interactions between the physical and hum...

0198-9715/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.compenvurbsys.2008.06.006 * Corresponding author. Tel.: +31 43 3883343; fax: E-mail addresses: [email protected] (J.van Vliet) [email protected] (S. Dragicevic). Constrained cellular automata (CA) are frequently used for modeling land use change and urban growth. In these models land use dynamics are generated by a set of cell state t...

The method of spectral analysis is employed to research the spatial dynamics of urban population distribution. First of all, the negative exponential model is derived in a new way by using an entropy-maximizing idea. Then an approximate scaling relation between wave number and spectral density is derived by Fourier transform of the negative exponential model. The theoretical results suggest the...

Predicting patterns of urban growth will be a major challenge for policy makers and environmental scientists in the 21st century. How cities growötheir shape and sizeöwill have enormous implications for environmental sustainability and infrastructure needs. This paper presents a spatiotemporal ART-MMAP neural method to simulate and predict urban growth. Factors that affect urban growthöthat is,...