In this paper, we introduce a new spatially constrained clustering problem called the max-p-regions problem. It involves the clustering of a set of geographic areas into the maximum number of homogeneous regions such that the value of a spatially extensive regional attribute is above a prede- fined threshold value. We formulate the max-p-regions problem as a mixed integer programming (MIP) problem, and propose a heuristic solution.
The dropout rate among Spanish university students is very high compared to the European mean, creating a pressing need for the introduction of policies and programmes aimed at increasing rates of persistence.
Propuesta metodologica para la desagregación espacio-temporal de los indicadores de demografía empresarial
A review of regional science applications of satellite remote sensing in urban settings
Python library with spatially constrained clustering algorithms
Interactive tool for visualizing the interindustry dynamics in Colombian economy.
Interactive tool for visualizing the spatial distribution of economic impacts in Colombian metropolitan areas.
RiSE-group was invited to the workshop "The Role of Cities In Creating Improved Economic Opportunities" in the UN-Habitat Governing Council... here are some pictures of the event, Link
The student of the Master in Economics from the University EAFIT, Oswaldo Zapata, was one of the awarded students by the Government of Antioquia
The thesis of economics student, Miguel Norena, has been published in the book Defining the Regional Spatial Scale in Modern Analysis.