Revista de Matemática Teoría y Aplicaciones
versión ISSN 1409-2433
ROSA ALVARADO, Welman. Geostatistical spatio-time model of crime in el salvador: structural and predictive analysis. Rev. Mat [online]. 2011, vol.18, n.2, pp. 325-342. ISSN 1409-2433.
Today, to study a geospatial and spatio-temporal phenomena requires searching statistical tools that enable the analysis of the dependency of space, time and interactions. The science that studies this kind of subjects is the Geoestatics which the goal is to predict spatial phenomenon. This science is considered the base for modeling phenomena that involves interactions between space and time. In the past 10 years, the Geostatistic had seen a great development in areas like the geology, soils, remote sensing, epidemiology, agriculture, ecology, economy, etc. In this research, the geostatistic had been apply to build a predictive map about crime in El Salvador; for that the variability of space and time together is studied to generate crime scenarios: crime hot spots are determined, crime vulnerable groups are identified, to improve political decisions and facilitate to decision makers about the insecurity in the country.
Palabras llave : Geostatistics; Spatio-Time; Non-Separable; Crime; Structural; Variability; Autocorrelation.