This research brings together experts in different quantitative areas in order to develop new methods for spatial data analysis derived from the combination of techniques such as stochastic calculus, fractal theory, computational geometry and remote sensing.
This research seeks the continuation of a research line that started more than seven years ago, whose main objective is the development of new tools for spatial analysis in the field of regional science and applied economics. These new techniques combine different concepts developed within field of operations research, spatial econometrics and computational geometry.
This project seeks to generate new empirical and theoretic developments that can emerge from the combination of techniques for exploratory spatial data analysis (ESDA) and heuristic optimization methods, which have not been very exploited so far.
Although the quality of statistical data regarding demographic and socio-economic variables of the Colombian population have improved considerably, the quantitative techniques used for its analysis still show an important lag with respect to the latest methodological developments proposed in the literature.
The application of new quantitative techniques allow for proposing new research hypotheses and, in general, for a better analysis and exploitation of the available information that result in better support for decision making and policy formulation.
This project, cofinanced by EAFIT university and the University of Barcelona, seeks to carry out a series of investigations where the latest developments in regional science quantitative analysis are applied to study different aspects of the colombian housing and labor markets.
The main objective of this proposal is the design and implementation of new quantitative techniques which allow researchers in applied economics and regional science to profit better from the growing availability of georeferenced socio-economic and socio-demographic data.
In this line of research, through the year 2009 special interest will be given to the design and implementation of new quantitative methodologies that satisfy a growing need of tools for the design of analytical regions, that is, geographical regions that accurately represent a studied phenomenon.
HouSI: A heuristic for the delimitation of housing submarkets and price homogeneous areas
Python library with spatially constrained clustering algorithms
Interactive tool for visualizing the interindustry dynamics in Colombian economy.
The Center for Urban and Environmental Studies, Urbam, is a new RiSE's partner. Interesting projects are coming!
Doctor Xinyue Ye, a RiSE’s academic affiliate, was awarded the Regional Development and Planning (RDPSG) Emerging Scholar by the Association of American Geographers (AAG).
The VI World Conference of the Spatial Econometrics Association (SEA) Conference in Latin America
