cubierta_poblacion-espanola-en-alta-resolucion

PublicationMonographs

La población española en alta resolución

De la grid de 1 km × 1 km a una de 100 m × 100 m. Metodología, análisis y aplicaciones Francisco

Social Sciences > Economics > Capitalization and Growth

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This monograph takes as its subject the construction of a high-resolution (100 m × 100 m) grid of Spain’s population, representing a significant methodological advance for the study of rural and urban economies and the georeferencing of statistics. It has been drawn up using the 1 km × 1 km census grid of the National Statistics Institute (INE), along with other auxiliary sources of information.

Accurate mapping of the population across the territory is essential for studying a wide range of issues, from access to public and private services or consumer-oriented marketing analysis to determining the incidence and risk of meteorological or environmental events.

In addition to methodological details of the spatial disaggregation of the population grid from 1 km × 1 km to 100 m × 100 m, the monograph includes a series of applications intended to demonstrate the potential of this type of statistics. In particular, it features two applications based on the 1 km × 1 km census grid: one dedicated to the degree of urbanization of the territory and another to the functioning of the road transport network. Two further applications are presented based on the 100 m × 100 m grid, in order to illustrate the potential of having demographic information with this level of detail: one analyzing the public’s access to green spaces in Spain’s ten most populous cities, and the other exploring healthy accessibility – on foot and by bike – for the largest possible number of people in the same ten cities.

The resulting database and its applications are primarily intended for professionals and academics working in the fields of demography, economic geography, and spatial data science, as well as for public officials and administrators, particularly at regional and local levels.