Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/235806 
Authors: 
Year of Publication: 
2019
Citation: 
[Journal:] REGION [ISSN:] 2409-5370 [Volume:] 6 [Issue:] 3 [Publisher:] European Regional Science Association (ERSA) [Place:] Louvain-la-Neuve [Year:] 2019 [Pages:] R1-R57
Publisher: 
European Regional Science Association (ERSA), Louvain-la-Neuve
Abstract: 
Methods of regional economic analysis are widely used in regional and urban economics as well as in economic geography. This paper introduces the REAT (Regional Economic Analysis Toolbox) package for the programming environment R, which provides a collection of mathematical regional analysis methods in a user-friendly way. The focus is on the identification of regional inequality, beta and sigma convergence, measurement of agglomerations, point-based measures of clustering and accessibility as well as regional growth. The theoretical basics of the applications are briefly introduced, while the usage of the most important functions is presented and explained using real data.
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Document Type: 
Article

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