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Title: MAPPING THE ECONOMIC DATA - CASE STUDIES AND BEST PRACTICES
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MAPPING THE ECONOMIC DATA - CASE STUDIES AND BEST PRACTICES
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1314-2704
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English
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Economists usually apply quantitative methods for analysing economic data. Most of this data has a connection to a particular place or space. In geography, the location plays a crucial role, and together with attributes of such location it represents geospatial data. Collaborative work of economists and geographers (geoinformaticians) offer great opportunities in geospatial-economic data analysis and visualisation. Joining two relatively distinct disciplines brings added value for both economy and geography. In other words, mapping the economic data opens new perspectives for (geo)data knowledge discovery. In this paper, we present case studies and best practices in the field of economic data analysis and visualisation. The first case study covers analysis of financial performance of medium and small enterprises in one region of the Czechia. The second case study is dealing with innovation activities of enterprises in the Czechia. As the third case study, analysis of the development of land price maps in Olomouc city is introduced. All these case studies show a broad range of potential benefits from combination geospatial and economic data.
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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975-982
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29 June - 5 July, 2017
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website
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cdrom
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3051
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GIScience; economy; spationomy; visualisation
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