Re-creation of the extent of urban land use at different periods in time is valuable for examining how cities grow and how policy changes influence urban dynamics. To date, there has been little focus on the modeling of historical urban extent (other than for ancient cities). Instead, current modeling research has emphasized simulating the cities of the future. Predictive models can provide ins...

One of the powerful tools geospatial modeling uses is the Monte Carlo Method. However, little work has been done on measuring the optimal number of Monte Carlo iterations to be performed. In this work, we present the new utility of two metrics for deriving the number of Monte Carlo iterations needed to calibrate the CA-based SLEUTH Urban Growth Model. SLEUTH calibration is the process of choosi...

Alam Cipta Vol 6 (1) June 2013 ABSTRACT This document describes a conceptual methodology to investigate the dynamics of “bottom-up” green infrastructure (GI) investment in tropical urban areas. This approach seeks to develop a methodology of study to understand what policies may lead to more efficient investment policies that lead to a sustainable urban setting. Agent-based Modeling (ABM) was u...

Obesity is a growing public health concern in both developed and developing countries, creating acute challenges in places with scant resources. In Ghana, obesity rates have risen substantially in recent decades, a trend particularly noted in urban areas. However, high levels of migration and urbanization indicate a situation that is more complex than a simple urban/rural distinction may be abl...

The paper explores a framework combining remote sensing and spatial metrics aimed at improving the analysis and modeling of urban growth and land use change. While remote sensing data have been used in urban modeling and analysis for some time, the proposed combination of remote sensing and spatial metrics for that purpose is quite novel. Starting with a review of recent developments in each of...

This paper discusses the use of genetic algorithms to enhance the efficiency of transition rule calibration in cellular automata urban growth modeling. The cellular automata model is designed as a function of multitemporal satellite imagery and population density. Transition rules in the model identify the required neighborhood urbanization level for a test pixel to develop to urban. Calibratio...

Urban land expansion in China has attracted considerable scholarly attention. However, more work is needed to apply spatial modeling to understanding the mechanisms of urban growth from both institutional and physical perspectives. This paper analyzes urban expansion in Shanghai and its development zones (DZs). We find that, as nodes of global-local interface, the DZs are the most significant c...

This study seeks to benefit from a medical science-based implication for urban and landscape planning in the Gorgan Township area, a highly developing region in northeastern Iran. Based on growth stages and patterns of a malignant cancer tumor inside a human's body, a sustainable, realistic and practical urban growth pattern is introduced applying land suitability analysis, SLEUTH urban growth ...

Spatial models of urban growth have the ability to play an important role in the planning process; if not in aiding in policy decisions, then in processes such as visioning, storytelling, and scenario evaluation. One question that has not adequately been addressed is to what degree does disaggregating land use types from urban/non-urban categories add to these simulations? This paper aims to an...

Cellular automata (CA) modelling is one of the recent advances in spatial–temporal modeling techniques in the field of growth dynamics. Spatio-temporal modeling of growth patterns has gained more importance in the recent years especially in the field of crystal growth, urban growth, biological growth etc. It has become an interest for researchers to study the model on spatial and temporal dynam...