DOI: 10.5593/SGEM2014/B21/S8.061


M. Leszczynska
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 1, 481-488 pp

The literature relating to cartography highlights the longevity of some of the most fundamental problems with modeling selected elements of the natural environment of the Earth and the interpretation of geographic information. Good representation supports the exploration and understanding of the phenomena occurring in the specified area of the real world and provides knowledge about the phenomena studied. New methods for creating maps as models of the world are being continually developed supported by advances in technology. The digital map, among the many forms of specific models, has a special place and has made possible the solution of many previously unsolved problem. A particular challenge is to create a model to represent the social phenomena and their impact on economic development and the environment. The aim of the author’s research is, therefore, to develop a method for creating spatial models that allow the representation of complex socio-economic and natural processes. During the implementation, a formulated objective was prepared and tested using the intelligent spatial decision support system to optimize the development of the risk of social marginalization of rural areas. The system allows the storage of the cartographic modeling process without use of algorithms, taking account of both qualitative and quantitative traits. Here, the map is treated not only as a final result, but also as a whole, functioning in the computing environment. In this form the map is both a model of the studied phenomena, as well as research tool that allows testing of hypotheses and predictions. This functionality has been achieved as a result of extending an objectrelational data model, which is the basic model of digital mapping data, with the characteristics of deductive reasoning. It also allows for dynamic creation of thematic maps representing an effective tool for the decision-making process, which cannot be structured and thus described in the form of an algorithm. Which makes the modeling of spatial data also effective in terms of representation of social phenomena and their impact on nature and the economy.

Keywords: spatial model, cartographic modeling, intelligent spatial decision support system, artificial Intelligence, digital map

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