L. R. Manzano-Solís and R. Franco-Plata, “Modelo en SIG Para Inferir la Distribución Espacial Continua de la Población a Partir de datos por Localidad,” Proceedings memorias del XI Seminario Internacional La Dimensión Humana en las Ciudades y Metrópolis, Jalisco, 2009, pp 649-663.

has been cited by the following article:

• TITLE: Using a GIS Tool to Map the Spatial Distribution ofPopulation for 2010 in the State of Mexico, Mexico

  AUTHORS: Roberto Franco-Plata, L. Ricardo Manzano-Solís, Miguel A. Gómez-Albores, José I. Juan-Pérez, Noel B. Pineda-Jaimes, Araceli Martínez-Carrillo

  KEYWORDS: Spatial Distribution of the Population; Idrisi Taiga; GIS Tool; State of Mexico

  JOURNAL NAME: Journal of Geographic Information System, Vol.4 No.1, January 17, 2012

  ABSTRACT: The present document describes the experience of using a Geography Information System (GIS) tool to map the spatial distribution of the population of the State of Mexico, Mexico, for 2010. Prior to the development of the experience, dif- ferent projects, tools and products, which offered cartographic representations of the population, were presented, se- lecting one that was developed to function in Idrisi Taiga GIS. Likewise, the GIS tool and the process followed to apply it to a case study in the State of Mexico are described. The result is a raster image that shows the distribution of the population on the analyzed state, offering the possibility to identify the zones where the population concentrates and disperses and to produce an opinion from a geographic point of view on what the origin of these distribution patterns is. Among the conclusions from the analysis of results, distinguishable are the applications that the obtained image can have; for instance, the population can be estimated by basins or risk zones by only adding the values of the cells inside these zones. It is also concluded that the degree of detail expressed by the spatial distribution image of the population will depend on several factors, among them the scale and resolution of the input information and the resolution fixed for the output information.