In this research, the authors propose a supervised machine learning approach, Random Forest, for population density appraisal in a large and dense developing city.
Using Landsat satellite data, the authors propose driving forces of deforestation along the Colombia - Ecuador Border. Colonization and road construction are among the candidates.
By using multi-criteria decision analysis (MCDA) uided by expert opinion and decision support algorithms implemented in a raster-based GIS, the authors produced a new, high spatial resolution (90 ? 90 m) vector exposure risk map for Colombia and surround
This paper analyses how international migration could be facilitated for disaster-affected communities through a case study of the Colombian Temporary and Circular Labour Migration (TCLM) project - an innovative migration model, based on an agreement between Colombia and Spain.
Using global (Moran's I index) and local (LISA) spatial autocorrelation indicators, and multiple regression analyses (OLS and ML spatial error model), the authors analyzed the spatial patterns of effects on the population, measured as the number of affected persons in each municipality normalized to the total municipal population for 2011.
This paper analyzes population change, land use, and deforestation in the Amazon regions of six countries.
This study attempts to value air quality (a non marketable good) from the urban housing market in Bogotá (a marketable good). Furthermore, the study examines the impacts of air pollution on housing values. By means of a Geographical Information System (GIS), the housing market is characterized from a random sub-sample of 1006 observations that correspond to properties within the 19 localities of the Capital District of Bogotá. Total of Suspended Particles (TSP) is used as the pollution variable. The methodological framework for estimations is based on a hedonic price model.
Using a household survey conducted in the Colombian Andes, the authors explore the relationship between poverty and environmental degradation.
In a this study of the land cover and land use practices over the Amazon and Tocantins basins of South America, the authors provided a geographically explicit, fine-scale description of land cover and land use practices, through merging of satellite imagery and agricultural censuses.
