EAFIT

A multidisciplinary approach to the development of new quantitative methods in regional science (2012)

Funding by EAFIT University (83,525 USD)

Principal Investigator: Juan C. Duque



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.

EAFIT

New techniques for spatial data analysis (2011)

Funding by EAFIT University (31,500 USD)

Principal Investigator: Juan C. Duque



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.

EAFIT

New methods for spatial data analysis: Combination of ESDA and heuristic optimization techniques (2010)

Funding by EAFIT University (37.800 USD)

Principal Investigator: Juan C. Duque



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.

EAFIT

Research in topics of regional science within the Colombian context (2009)

Funding by EAFIT University (59.200 USD)

Principal Investigator: Juan C. Duque



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.

EAFIT

Aggregation on spatial data for economic analysis: New methods and applications (2009)

Funding by EAFIT University (35.500 USD)

Principal Investigator: Juan C. Duque



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.

+ Publications

An algorithmic approach for simulating realistic irregular lattices

In this paper, we propose an algorithm, RI-Maps, that combines fractal theory, stochastic calculus and computational geometry for simulating realistic irregular lattices with a predefined number of polygons.

Learning outcomes and dropout intentions: An analytical model for Spanish universities

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

Propuesta metodologica para la desagregación espacio-temporal de los indicadores de demografía empresarial

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+ Software and tools

spatially constrained clustering algorithms

Python library with spatially constrained clustering algorithms

Economic multipliers for Colombia

Interactive tool for visualizing the interindustry dynamics in Colombian economy.

Spatial deagregation of multipliers

Interactive tool for visualizing the spatial distribution of economic impacts in Colombian metropolitan areas.

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+ News

RiSE participates in the UN-Habitat Council (Kenya)

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 Oswaldo Zapata awarded

The student of the Master in Economics from the University EAFIT, Oswaldo Zapata, was one of the awarded students by the Government of Antioquia

Noreña's undergraduate thesis published in international book

The thesis of economics student, Miguel Norena, has been published in the book Defining the Regional Spatial Scale in Modern Analysis.

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