Zonas potencialmente acondicionadas para la distribución y comercio de mango para el nororiente del Valle del Cauca

Abstract

Through the use of geographic information obtained from open data by different entities, Potentially Conditioned areas for Mango Distribution and Trade were obtained. The data obtained were classified according to result of spatial analysis derived from map algebra, in which the weighting by layers was established according to characteristics of variables used. Was selected for the study area, one of areas considered as a high aptitude zone and with greater extension according to research carried out by the UPRA (Unidad de Planificación Rural Agropecuaria). Information on roads was used where it was relevant to know the state, which is associated with estimated speed to travel. Regarding the toll information, it was necessary to determine roads and sectors directly related, and that would be affected by costs that this generates. The demographic and geographic information of study area, allowed to identify the population available and directly benefited from this analysis. From the result obtained, it can be estimated that around 5% of the prioritized area in terms of available resources such as information on roads, population and tolls, is potentially attractive for future investments, due to collection of geographic and statistical data.