This book presents a systematic analysis of challenges in the field of Geographical Information Systems and Science, geographical analysis, and regional science for Ontario, one of the fastest-changing provinces in Canada and one of North America's largest economic hubs. In nine chapters, the book offers advanced spatial analysis techniques and digital data content to integrate Geographic Information Systems (GIS) as tools to tackle regional and urban challenges. The chapters address the following main topics: 1) state-of-the-art approaches for regional discrepancies, 2) investigations of available methods for advanced spatial analysis, 3) identification of regional patterns and land use dynamics, 4) availability of Web 3.0 data content for regions without standardized data, and 5) the limitations and challenges of urbanization and its impact on landscape, heritage and ecosystems.

The volume is divided into four sections dealing with key issues in Ontario, each addressing the use of GIS for crucial regional decision-making. The book will be of interest to researchers, undergraduate and graduate students, planners, regional scientists, and policy makers.

Dr. Eric Vaz is Full Professor and Graduate Program Director of the Masters of Spatial Analysis in the Department of Geography and Environmental Studies at Toronto Metropolitan University. His research interests reside in understanding the complex spatial interactions of spatial modeling and spatial analysis, and the impacts the future may bring at a geographical and regional science level on cities, regions, economies, ecosystems, and health. 

Auteur

Dr. Eric Vaz is Full Professor and Graduate Program Director of the Masters of Spatial Analysis in the Department of Geography and Environmental Studies at Toronto Metropolitan University. His research interests reside in understanding the complex spatial interactions of spatial modeling and spatial analysis, and the impacts the future may bring at a geographical and regional science level on cities, regions, economies, ecosystems, and health.