Resumen
Despite the numerous studies in the area of urban climatology, there is still a relevant gap in this area corresponding to the demarcation of the footprint area on a variable. Various authors arbitrarily delimit this area without a prior study, which leads to significant errors in the results. In recent years, a variety of models to estimate the footprint area was presented mainly with stochastic and analytical approaches, usually expensive. Thus this article aimed to develop a methodology based on geostatistics for inference of the footprint area for temperature and relative humidity. By using geostatistics it was possible to observe that the radius of footprint had a temporal variation (between times and days) and spatial variation (between points), pointing out the great importance in assessing the footprint area. However, for a better analysis of this method we suggest to model the anisotropy in future studies, because the footprint area behaves like an ellipse with different radii at different directions. And for this, it is necessary to collect data with a regular distribution within a mesh.