Socio Economic Applications Of Geographic Information Science

To date, no one volume in the Innovations in GIS series has been given over to solely highlighting the use of up-to-date GIS-based techniques in a range of socio-economic applications. This monograph redresses this gap. The book begins with a short introductory chapter on the fundamental principles of GIS, followed by an examination of recen

This second edition of Geographic Information Systems builds on the strengths of the first, and incorporates important recent advances in GIS development and major new socioeconomic datasets including new census data. Martin presents an accessible introduction to the history, principles and techniques of GIS, with a unique focus on socioeconomic applications. This non-technical volume addresses the needs of students and professionals who must understand and use GIS for the first time.

The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) me

In June/July 2008 the Institute for Geoinformation and Cartography at the Vienna University of Technology organized a scientific colloquium in this city, where 15 well-known scientists presented their ideas on research for the upcoming decade. This book contains papers prepared by the participants as well as by other researchers. The eighteen papers in this book reflect the opinion of a core group of Geoinformation scientists about future research topics. Dealing with these topics poses multiple research questions for the coming years

Geographical information systems (GIS) have found wide and growing applications, as digital remote-sensing data and computer technology have become more sophisticated, more easily available and less expensive. This report describes preliminary research undertaken by NRI into how GIS might be used to identify and potentially describe the non-physical, human environment in which people make decisions relating to resource allocation. A number of general issues concerning the availability of suitable data sets, are highlighted in case studies. Recommendations are made about how data can be made more amenable to this type of application, and the criteria that should be applied in assessing the feasibility of projects involving the use of GIS in socio-economic studies.

This chapter has shown a small sample of GIS applications in economic devel- ment. GIS is a powerful tool for data analysis and presentation, and the economic development rami cations are truly signi cant. The speed at which data and stra- gies can be coordinated is clearly changing the way economic developers approach their job. There are a number of important trends that are likely to result in GIS becoming more pervasive in the economic development community. These include declining costs of GIS software, increased computing power, and the growth of Web-based GIS applications. There also has been increase in GIS skills among economic development professionals. References Bastian, L. (2002). Getting the best from the web. Area Development Site and Facility Planning, March 1–7. Accessed 5 September 2008. Batheldt, H. (2005). Geographies of production: growth regimes in spatial perspective (II) – kno- edge creation and growth in clusters. Progress in Human Geography, 29(2), 204–216. Bathelt,H.,Malmberg,A.,Maskell,P.(2004). Clustersandknowledge: localbuzz,globalpipelines and the process of knowledge creation. Progress in Human Geography, 28(1), 31–56. Bernthal, M., Regan, T. (2004). The economic impact of a NASCAR racetrack on a rural com- nity and region. Sports Marketing Quarterly, 13(1), 26–34. Blackwell, M., Cobb, S. Weinbert, D. (2002). The economic impact of educational institutions: Issues and methodology. Economic Development Quarterly, 16(1), 88–95. Blair, J. (1995). Local Economic Development, Analysis and Practice. Thousand Oaks, CA: Sage Publications.

Self-Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the SOM algorithm, and provides readers with a snapshot of these tools that can then be adapted and used in new research projects. The book begins with an overview of the SOM technique and the most commonly used (and freely available) software; it is then sectioned to look at the different uses of the technique, namely clustering, data mining and cartography, from a range of application-areas in the biophysical and socio-economic environments. Only book that takes SOM algorithm to the GIS and Geography research communities The Editors draw together expert contributors from the UK, Europe, USA, New Zealand, and South Africa Covers a range of techniques in clustering, data mining cartography, all featuring an appropriate case study