In this paper we present an application of spatial data analysis to the evaluation of microclimate. Air temperature was measured in 39 sites randomly distributed in a Dialysis Ward, following complaints of thermal discomfort by some patients. The application of geostatistical methods allowed the definition of mathematical modeling of spatial variability, model validation and plotting of thermal isovalue maps. Thus, a cold air source was identified, which was able to modify thermal conditions of the whole ward.
Evaluation of indoor climate by spatial modelling: A geostatistical approach
Capelli G.;
1996-01-01
Abstract
In this paper we present an application of spatial data analysis to the evaluation of microclimate. Air temperature was measured in 39 sites randomly distributed in a Dialysis Ward, following complaints of thermal discomfort by some patients. The application of geostatistical methods allowed the definition of mathematical modeling of spatial variability, model validation and plotting of thermal isovalue maps. Thus, a cold air source was identified, which was able to modify thermal conditions of the whole ward.File in questo prodotto:
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