Geographic Information Systems (GIS) are a fundamental part of the tools for analysis and management of the territory used by various disciplinary teams, allowing the manipulation and classification of large amounts of data in an efficient way. However, the sensitive approach from the field of landscape planning is not the context most explored by users of this spatial analysis tool.
From the understanding of the landscape as a confluence and superposition of both natural and anthropic elements that interact with each other in a dynamic way, this course will try to implement the work in GIS as a tool that speeds up the understanding of these elements in the analytical framework and that, at the same time, it founds the foundations of the subsequent project attitude. More specifically, this course will address the collection, deployment and subsequent analysis of geographically referenced information through the use of space and tourism territory as a work topic. Special emphasis will be placed on the different anthropic approaches (land use; settlements; infrastructures; population; seasonality) and their fit within the framework of existing natural structures from geoinformation.
Continuous training course
3 ECTS, 24 teaching hours
Is held over six weeks with classes on Fridays from 15:30 h to 20:30 h.
GIS technology will be used in this course as a research tool that will allow the student to approach tourism territories from a trans-scale perspective that will suggest, organize or propose certain changes through the landscape to improve and facilitate the future management of the tourist destination. Specifically, this course will be focused on the specific implementation of the QGIS software, as a work tool. On this basis, the student will be able to assess the situation of the tourism space and detect its potential, while recognizing its limitations.
Geographic Information Systems (GIS) will be understood as a strategic piece in the evaluation of these areas, allowing the student to superimpose socio-cultural, economic and environmental data simultaneously from a landscape perspective.
Qualitative (*competences) and quantitative (ECTS credits) analysis:
*According to the EBANELAS ECLAS competences frame