Spationomy [electronic resource] :Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics / edited by Vít Pászto, Carsten Jürgens, Polona Tominc, Jaroslav Burian.
Contributor(s): Pászto, Vít [editor.] | Jürgens, Carsten [editor.] | Tominc, Polona [editor.] | Burian, Jaroslav [editor.] | SpringerLink (Online service).Material type: BookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2020.Edition: 1st ed. 2020.Description: VIII, 325 p. 209 illus., 199 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030266264.Subject(s): Economic geography | Regional economics | Spatial economics | Geographical information systems | Technology | Economic Geography | Regional/Spatial Science | Geographical Information Systems/Cartography | Applied Science, multidisciplinaryDDC classification: 330.9 Online resources: Click here to access online
1. Part A Methodological overview (Data sources (spatial and economic data, Quantitative methods in economy, Spatial analysis in geomatics, Business informatics principles, Methods in Microeconomics and Macroeconomics, Finance and Business, Economic Geography) -- 2. Part B - Techniques of data visualization (Non-spatial visualization, Spatial visualization, Interactive visualization) -- 3. Part C - Spatial exploration of economic data (Methods of interdisciplinary analytics, Case studies and applications I - V) -- 4. Part D - Simulation game-based framework (Introduction, Simulation Game Concept, Simulation Game Rounds, Evaluation/Scoring, Experiences/Good Practices).
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.