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MAPPING THE ECONOMIC DATA - CASE STUDIES AND BEST PRACTICES

Paszto, Jaroslav Burian, Burian, Karel MackЕЇ

First published: 2017-06-20https://doi.org/10.5593/sgem2017/21/s08.123View metrics

Abstract

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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Publication details

Title
MAPPING THE ECONOMIC DATA - CASE STUDIES AND BEST PRACTICES
Authors
Paszto, Jaroslav Burian, Burian, Karel MackЕЇ
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
975-982
SWS Citekey
Paszto20178975982
ISSN
1314-2704
ISBN
978-619-7408-01-0
Language
en
Publication type
Conference Paper
Keywords
References10
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Number of times cited according to Crossref: 2

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