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Spationomy = spatial exploration of ...

Paszto, Vit.

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Spationomy = spatial exploration of economic data and methods of interdisciplinary analytics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spationomy/ edited by Vit Paszto ... [et al.].
其他題名:	spatial exploration of economic data and methods of interdisciplinary analytics /
其他作者:	Paszto, Vit.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	viii, 325 p. :ill., digital ;24 cm.
內容註:	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)
Contained By:	Springer eBooks
標題:	Economics. -
電子資源:	https://doi.org/10.1007/978-3-030-26626-4
ISBN:	9783030266264

Spationomy = spatial exploration of economic data and methods of interdisciplinary analytics /
Spationomyspatial exploration of economic data and methods of interdisciplinary analytics /[electronic resource] :edited by Vit Paszto ... [et al.]. - Cham :Springer International Publishing :2020. - viii, 325 p. :ill., digital ;24 cm.

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)

Open access.

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.

ISBN: 9783030266264

Standard No.: 10.1007/978-3-030-26626-4doiSubjects--Topical Terms:

517137
Economics.

LC Class. No.: HF1025 / .S638 2020

Dewey Class. No.: 330.9

Spationomy = spatial exploration of economic data and methods of interdisciplinary analytics /
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505 0 $a 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)
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