Computers, Environment and Urban Systems, Volume 35, Issue 2, March 2011, Pages 93-103
Ellen-Wien Augustijn-Beckers, Johannes Flacke, and Bas Retsios
- We developed an agent-based model for simulating informal settlement growth.
- The simulation model is vector-based representing individual houses as polygons.
- Three rules of extension, infilling, and enlargement of houses were implemented.
- For model evaluation results were compared to observations in empirical data.
“The simulation of the growth of informal settlements can be an essential building block to manage urbanization processes in cities of the developing world. We used agent-based modelling to develop a vector-based, micro-scale housing model to simulate the growth of informal settlements. A prototype of the housing model was implemented for Dar es Salaam, Tanzania. The results show that such a vector-based housing model built on three simple rules of spatial change (infilling, extension and enlargement of existing houses) can successfully simulate the housing pattern of informal settlements growth.”
GeoJournal, Published Online 13 August 2011
Paul J. Gruenewald
“Over the past four decades geospatial analyses of alcohol and drug problems have moved to the forefront of ecological studies of the correlates and determinants of drug addictions in community health. These advances have been predicated upon the expanding computational capabilities of geographic information systems, advancement of statistical tools for the analysis of spatial data, and the formulation of suitable social ecological theory. This paper provides an introduction to the study of drug markets in the US as a model social problem for geospatial research and analysis.
Growth of Methamphetamine Hospital admissions in California 1995–2005
“Market and epidemic models of the growth of the methamphetamine abuse and dependence in California are used as examples of two fruitful approaches to understanding the social processes that underlie use of this dangerous substance. Data on the growth of the epidemic are described and used to motivate theoretical and empirical concerns regarding further analyses of the development of drug markets over space and time. These concerns, in turn, begin to be addressed by the remaining four papers in this series, each providing some examples and insights into avenues of geospatial research which can be profitably explored in the future.”
GeoViz: Linking Geovisualization with Spatial Analysis and Modeling, 10-11 March 2011, Hamburg, Germany
Markus Wolff and Julia Gonschorek
“This contribution presents selected approaches, methods and tools to facilitate geovisual analytical data exploration for civil security purposes. To analyse large emergency service data of a major German city’s fire department, different data mining techniques are applied. This allows identifying statistical significant clusters in space and time. To facilitate convenient methods for exploring such complex datasets, a GIS-based software is developed. For visualisation and interactive exploration these results are integrated into a three-dimensional geovirtual environment.”