Determinación del factor de cambio en el glaciar de la Sierra Nevada de Santa Marta, a partir de regiones en movimiento en bases de datos espacio temporales.

Abstract

The evolution of databases over the years, with the aim of storing and managing large volumes of information through computerized systems (Durango Vanegas, 2013), has allowed the development of new types of databases, such as spatial databases, which allow the management of geographic data, its associated data, and the design data of the geometries, assisted by computational intelligence (R. H. Güting, 2005), these databases improved the management of spatial information giving step to geographic information systems, however time is a dimension that allows us to understand and perform analysis of spatial data in a better way, thus producing a relationship between spatiality and time that later came to be called spatial-temporal data stored in data vector, thus achieving the construction of spatio-temporal databases that approximates They are increasingly up to date and deliver data and analysis more accurately.