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        Spationomy

        Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics

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        Contributor(s)
        Pászto, Vít (editor)
        Jürgens, Carsten (editor)
        Tominc, Polona (editor)
        Burian, Jaroslav (editor)
        Language
        English
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        Abstract
        This open access book is based on "Spationomy – Spatial Exploration of Economic Data", an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works.
        URI
        http://library.oapen.org/handle/20.500.12657/22853
        Keywords
        Geography; Economic geography; Regional economics; Spatial economics; Geographical information systems; Technology
        DOI
        10.1007/978-3-030-26626-4
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2020
        Classification
        Political economy
        Mathematics and Science
        Economic geography
        Geographical information systems, geodata and remote sensing
        Pages
        325
        Rights
        https://creativecommons.org/licenses/by/4.0
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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