We propose a novel approach for calculating an air temperature entropy of environment over a region using concepts from statistical mechanics. The proposed method is intended for use in analysing spatially distributed environmental data. Spatially distributed environmental time-series temperature data from an atmospheric model have been used to illustrate this approach. Our results show that entropy reveals the underlying structure of a data distribution for which a standard statistical analysis may be insufficient.