The contributed volume collects cutting-edge research in GeoComputational Analysis of Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of regional contexts.
Jean-Claude Thill is Knight Distinguished Professor of Public Policy at the University of North Carolina at Charlotte. He received his doctoral degree in Geography from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium. He is the Editor-in-Chief of Computers, Environment and Urban Systems, and serves on the editorial board of a number of international journals in geography, urban science and regional science. He served as President of the Regional Science Association International (RSAI) and has been elected Fellow of RSAI. His research has focused on the spatial organization of socio-economic systems across scales. His recent contributions have involved leveraging spatial data analytics (including GeoComputation) to better apprehend urban and regional systems at a finer spatio-temporal granularity.
Suzana Dragicevic is a Professor at the Department of Geography and director of the Spatial Analysis and Modeling (SAM) Research Laboratory, Simon Fraser University, Canada. She is co-editor of the Springer book series Advances in Geographic Information Science and associate editor for the journals Computers, Environment and Urban Systems; Landscape and Urban Planning; Geomatica; and Earth Science Informatics. In addition she is a member of several international journal editorial boards. Dr. Dragicevic currently serves as vice-president of the International Society of Photogrammetry and Remote Sensing (ISPRS) Technical Commission IV for Spatial Information Science. Her main research work is in the fields of GeoComputation and GeoSimulations, particularly dealing with the integration of GIS, complexity science and artificial intelligence for the analysis and modeling of complex dynamic geographical systems.
Introduction: Progress in GeoComputational Research.- Code as Text: Open Source Lessons for Geospatial Research and Education.- Considering diversity in spatial decision making.- Cyberinfrastructure-enabled High-performance and Parallel Computing for Geocomputational Modeling.- Agent-Based Modeling of Climate Change, Land Acquisition and Household Dynamics in Southern Ethiopia.- Modelling Regional Urban Dynamics: the JingJinJi Metropolitical Area in China.- Simulation of land use change and building construction for construction of new road infrastructure.- A Cellular Automata Model to Study Classical Technical Change at Municipalities in Mexico 1999-2009.- Multi-Agent-based Simulation on the Evolution and Development of Chinese Regional Economy with Technology and Capital Diffusion.- Integrating GIS and ABM to Explore Spatio-temporal Dynamics of Slum Formation in Ahmedabad, India.- The Spread of Cholera in Dadaab Refugee Camps: An Agent Based Modeling Perspective.- Labor mobility and Creative Class across Metropolitan Areas of Mexico: an agent based modeling approach.- Mapping Brazilian Economic and Social Scenario Using GIS, Multivariate Statistics and Neural Networks.- Machine Learning and landslide assessment in a GIS environment.- Influence of DEM Uncertainty on the Individual-based Modeling of Dispersal Behavior: A Simple Experiment.- A Microsimulation Model of Labor Force Updating for the Integrated Land Use, Transportation, Environment (ILUTE) Model System.- Can remotely sensed data capture socio-economic spatial patterns?.- Integration of soft computing with GIS for modeling land-use suitability.- A Semi-Automated Software Framework for Delineating Oil And Well Pad Footprints In Alberta, Canada.- A heuristic approach for delineating functional regions.- Comparative Space-Time Analysis of Warn Notices.- School facility location-allocation problems: modeling challenges, algorithmic development and visualization (a variation of this at least).- A space-time approach to reducing child pedestrian exposure to motor-vehicle commuter traffic.- pRPL 2.0: An Improved Parallel Raster Processing Library for High-performance GeoComputation.- Markov Chain Monte Carlo (MCMC) Simulation of Geostatistical Variogram Parameters of Unstructured Spatial Soil Test Phosphorus using Gibbs Sampler.- Visualizing and Detecting Space-Time Chain.