Noise maps based on measurements gained interest during the last decade. Network monitoring systems are deployed in various cities over the world and mobile applications allowing participatory sensing are now very common. Nevertheless, the sparseness of the collected measurements, either in space or in time, complicates the production of such noise maps. A large measurement campaign has been conducted in the XIIIthdistrict of Paris in order to test different temporal and spatial interpolating strategies. 23 fixed monitoring stations have been deployed during eight months. In parallel, mobile measurements with backpacked stations have been collected walking in every street of the district between 1 and 15 times. The data analysis of the 23 fixed monitoring stations allowed constructing a temporal interpolation model, while the mobile measurements served to construct a spatial Kriging model. The combination of both models is explored in this paper, which enables to produce a fine cartography, both spatially and temporally, of sound levels within the district.