To evaluate and control the pollution in an urban area, diverse graphic representation techniques should be used to map the spatial patterns of the studied pollutants. This is a complex task, which is only feasible if a spatial correlation of the variable of interest is identified. Moreover, the small scale spatial distribution is unusually determined, despite it is fundamental to make a decision from an environmental point of view.
In this work, the link between the Geographic Information System and Geostatistics is proposed to generate pollution maps in urban areas, in which the spatial distribution patterns have high resolution to provide the variability at small distances.
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