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This editorial launches REGION, the new online and open-access journal of ERSA. REGION aims to be a high-quality academic journal in the field of regional science. To its contributors, it offers a solid peer-review process and immediate publica- tion upon acceptance. Also, it will be a flexible...
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This paper proposes an empirical analysis of the sensitivity of Discrete Choice Model (DCM) to the size of the spatial units used as choice set (which relates to the well-known Modifiable Areal Unit Problem). Job's location choices in Brussels (Belgium) are used as the case study. DCMs are...
Persistent link: https://www.econbiz.de/10011304174
Urbanization and localization effects are known to boost the regional economy and its growth potential. The emergence of these effects is due to localized knowledge flows, the closeness to markets, but also due to the diversity of services and industries. All these effects have the potential to...
Persistent link: https://www.econbiz.de/10011304181
This Manifesto provides a joint proposal to create a Regional Science Academy as a think-tank support platform for a strategic development of the spatial sciences. The Regional Science Academy is a strategic spatial knowledge catalyst: it acts as a global intellectual powerhouse for new...
Persistent link: https://www.econbiz.de/10011446279
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I have given this paper the title ‘Regional Science in a time of uncertainty’ because that is what it appears to be, very much a time of uncertainty. Uncertainty is always with us, but what I mean is the future is more uncertain than usual. There are multiple unanticipated and threatening...
Persistent link: https://www.econbiz.de/10011614202
Although spatial interaction modeling is a fundamental technique to many geographic disciplines, relatively little software exists for spatial interaction modeling and for the analysis of flow data. This applies particularly to the realm of free and open source software. As a result, this primer...
Persistent link: https://www.econbiz.de/10011614843
This resource contains the materials and structure suggested to run a mini course of approximately 14 hours on spatial data, analysis and regression. The course is structured along four lectures and four labs that require the use of computers.
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