Summer School in "Spatial Analysis, Land Use and the Environment" in Lima, Peru
All economic activities have a spatial dimension, which is particularly important in the interface between the economy and the environment. However, this dimension is rarely taken into account when designing economic policies.
This summer school motivates a learning process about the state-of-the-art tools and models for spatial analysis in the fields of land-use and natural environment. In particular, students will have an introduction to spatial methods of analysis and how these methods can be used to improve economic policy advice and landscape management, as well as, be efficient tools for stakeholder involvement (e.g., landscape visualization).
The summer school also makes available the methodologies for applying spatial statistics for economic analysis of environmental problems, urban land management, and urban amenities/disamenities. Students will, thus, learn ways to incorporate space in economic applications, model spatial autocorrelation and spatial heterogeneity, and examples of how these methods can be applied to evaluate environmental amenities and help design policies. To this effect, up-to-date software, such as R, ArcGIS and Stata is part of the tool kit used in the summer school.
Topics addressed in the summer school include urbanization, ecosystem service mapping, conservation management, socio-economic development, as well as, conflict assessments between different land-use interests.
This summer school was an educational collaboration between the Faculty of Economics and Finance, Department of Economics, Master Program in Economics and Research Vice-presidency at Universidad del Pacífico in Lima, Peru and the Nova Environmental Economics Knowledge Center at Nova School of Business and Economics in Lisbon, Portugal. The Nova SBE team included Maria A. Cunha-e-Sá, Sofia Franco, Renato Rosa, Carina Silva, Jacob Macdonald and Finn-Henrik Barton. The Universidad del Pacífico team included Joanna Kámiche and Jacques Julien.
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