Diffusion of geograpgic information system at municipalities in Istanbul
Proceedings of the 24th International Mining Congress of Turkey, IMCET 2015
TMMOB Maden Muhendisleri Odasi
810 - 820
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28130
This study aims to develop a better understanding of diffusion of Geographic Information Systems within municipalities and examines the infrastructure of Istanbul municipalities and whether they are ready for this technology or not. This study uses two research methods: The first one comprises interviews with the experts of GIS in Turkey. The second one comprises questionnaires conducted with Geographic Information Systems - related departments of Istanbul municipalities. Data collected online have been analyzed by using descriptive statistics, reliability tests, Anova and regression to test the hypotheses. One of the findings is that almost half of the municipalities implement Geographic Information Systems without a vision or a plan for the future. Another finding is that Geographic Information Systems is mainly used to perform registration and maintenance functions instead of supporting the decision-making process. Finally, there is an optimistic expectation of municipalities regarding the use of Geographic Information Systems in the future.
- Conference Paper 2294
Showing items related by title, author, creator and subject.
An analysis of manipulated information and respective alternative costs in information systems and in decision making structures Güvenen O.; Öztürk, M.H. (International Institute of Informatics and Systemics, IIIS, 2006)Today Information Technologies create base for the most important decision support systems for the practices in academia, business and politics. The effectiveness and success of operations that are supported by information ...
Soysal, E.; Cicekli I.; Baykal, N. (2010)This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules ...
Wu, Y.; Alagoz O.; Ayvaci, M.U.S.; Munoz Del Rio, A.; Vanness, D.J.; Woods, R.; Burnside, E.S. (2013)This study aims to determine the most informative mammographic features for breast cancer diagnosis using mutual information (MI) analysis. Our Health Insurance Portability and Accountability Act-approved database consists ...