The summer school aims at equipping participants with knowledge and tools and at enabling them to geocode and cluster the geographic data associated to their own datasets.
It addresses a growing question in knowledge dynamics about agglomeration processes in science technology and innovation dynamics.
The course has thus two objectives for researchers: (a) geocoding addresses (geo coordinates, city, Functional Urban Area, region) of their own dataset; (b) clustering and analysis of spatial distribution of relevant data.
The course aims to present to participants with the developments undertaken within RISIS, with a focus on specific issues and methods related to the uses of geographical information. This concerns the collection of unambiguous geographical coordinates attributed to the addresses (automated process) and the on-line methods for qualifying them (UPEM and VU SMS platform). Participants will be introduced and equipped with the clustering software developed by UPEM tailored for a problem-based ‘detailed’ qualification of geo-clusters and spatial analysis. The objective of the course is to apply them to participants’ datasets, enabling them to master both clustering methods first, and network analyses second.
The course will be divided into teaching parts and practical trainings sessions in the treatment of data regarding research outputs.
The course aims at involving 20 participants max. It is addressed to:
June 9th, 2016