High Education networks analytics. A Tobler First Law of Geography evidenced-based

Authors: Paulo Morgado Sousa*, , Paulo Morgado, IGOT-ULisboa, Herculano Cachinho, IGOT-ULisboa, Mário Vale, IGOT-ULisboa
Topics: Applied Geography, Geographic Information Science and Systems, Higher Education
Keywords: Erasmus program; spatial analytics; TFLG; gravity model and spatial dependence
Session Type: Paper
Day: 4/11/2018
Start / End Time: 8:00 AM / 9:40 AM
Room: Galerie 5, Marriott, 2nd Floor
Presentation File: No File Uploaded


Recently, we were invited by the Portuguese Erasmus National Agency to map the High Education Institutions (HEI) networks throughout students, teachers and non-academic staff mobility for the 2014-16 periods. Beside the statistics of the big numbers (e.g. where do Portuguese students go out studying? Are students and teachers going for the same places? Which are the study areas that send more students abroad? What’s the ratio of Portuguese Erasmus students? Is there some spatial overlay between incoming and outgoing students? if yes, what’s the degree of it? Are our students mainly gone for schools in the Top500 of Shangai Academic Ranking?, etc.), what have captures our attention was the influence of geography in the HEI networks, when it comes to choose where to go out for studying or research in Europe from the Portuguese engaged with the Erasmus program. The aim of this article is to show how geography matters by evoke what have been called by the Tobler First Law of Geography (TFL). The way we decided to do it was through a set of spatial analytics methods such as geographic distributions, gravity model and network analysis. Results suggests that there’s different levels of spatial dependence when it comes to students from different study areas, such as, engineering; medical sciences, health and welfare; business management, administration and law and from different HEI from different Portuguese regions.

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