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This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge. Contributions from key scholars working in the field bring together an international series of case studies on demography and migration, retail and consumer analytics, health care planning, urban planning and transport studies. Chapters also discuss how data sets leveraged from commercial and public agency sources can greatly improve the data traditionally worked with in academic geography, regional science and planning. While addressing the challenges and limitations of big data, the book also demonstrates the usefulness of data sets held by commercial agencies and explores data linkage between big data and traditional public domain data sources. Focusing on the applications of big data to investigate issues in a spatial context, this book will be an essential guide for scholars and students of planning, mobility and human geography, particularly those who specialise in economic and transport geography. Its use of key case studies to demonstrate the applications of big data analytics in planning will also be useful for planners in these fields.
The 1990s have seen some remarkable changes in geographical information (GI) provision and computer technology that have impacted on many of the activities that constitute planning in all its different forms. However, relatively few texts in the field of geographical information systems (GIS) and planning have been published since Henk Scholten and John Stillwell edited Geographical Information Systems for Urban and Regional Planning in 1990. This volume seeks to redress the balance by showing how GI of various types is being used in urban, physical, environmental, socio-economic and business planning contexts at local, regional and national scales with the assistance of GIS and modelling methods, and how the uses of GI and GI technologies have evolved over the last decade. During this period, a number of meetings took place in Europe in different locations organised initially by European Geographical Information Systems (EGIS, 1990- 94) and more recently by the Joint European Conference and Exhibition (JEC) on Geographical Information (1995-97). These meetings brought together members of the GI community from across the world to discuss GI research and GIS applications. One of the Special Interest Groups associated with the JEC gatherings was that on 'Geographical Information and Planning' and several of the contributions in this book have their origins in papers presented to the group's meetings.
The book deals with the integration of temporal information in Geographic Information Systems. The main purpose of an historical or time-integrative GIS is to reproduce spatio- temporal processes or sequents of events in the real world in the form of a model. The model thus making them accessible for spatial query, analysis and visualization. This volume reflects both theoretical thoughts on the interrelations of space and time, as well as practical examples taken from various fields of application (e.g. business data warehousing, demographics, history and spatial analysis).
Geographical Information Systems (GIS) provide an enhanced environment for spatial data processing. The ability of geographic information systems to handle and analyse spatially referenced data may be seen as a major characteristic which distinguishes GIS from information systems developed to serve the needs of business data processing as well as from CAD systems or other systems whose primary objective is map production. This book, which contains contributions from a wide-ranging group of international scholars, demonstrates the progress which has been achieved so far at the interface of GIS technology and spatial analysis and planning. The various contributions bring together theoretical and conceptual, technical and applied issues. Topics covered include the design and use of GIS and spatial models, AI tools for spatial modelling in GIS, spatial statistical analysis and GIS, GIS and dynamic modelling, GIS in urban planning and policy making, information systems for policy evaluation, and spatial decision support systems.
"Retail Intelligence & Network Planning" baut auf dem Erfolg des Vorgängerbandes "Intelligent GIS" auf, in dem Grundlagen und Anwendungen von GIS und Raummodellen für die strategische Planung ausführlich dargelegt wurden. "Retail Intelligence & Network Planning" konzentriert sich in erster Linie auf den breiten Einzelhandelssektor; die hier behandelten Beispiele stammen aus einer Vielzahl von Branchen. Die Autoren erläutern, wie wichtig Fallstudien für die moderne Standortforschung sind und behandeln eine breite Palette von Fragen zu Standort, Distribution und Management der Vertriebskanalproblematik, die für Einzelhandels- und Dienstleistungsunternehmen von großem Interesse sind.
With planning support software, citizen planners can move buildings from block to block, tear them down, build complete subdivisions, run new highways in and around town, analyze any number of scenarios, and see with their own eyes the consequences of each action. This reference offers new possibilities and discusses the most important aspects of computer-aided land-use planning.
Fuzzy logic and continuous classification methods are presented as methods for linking the two spatial paradigms.
Targeting those charged with launching or implementing a geographic information system for their organization, this book details a practical method for planning a GIS proven successful in public and private sector organizations.
This book presents the theory and methodology of geographical data acquisition, providing comprehensive coverage ranging from the definition of geo-referencing systems and transformation between these systems to the acquisition of geographical data using different methods. The material provides readers with a good understanding of the nature of spatial data, the accuracy of spatial data, and the theory behind various data acquisition methodologies.