The application already supported a wide variety of geolocalized data. These data represented probes measuring meteorological elements (temperature, precipitation, wind, etc.) or atmospheric elements (radon, CO2, dose rate, etc.). The application enabled them to be spatially correlated... … Du nouveau pour les séries temporelles dans Kalisio Maps !
Kalisio Maps improves time series management!
The application already supported a wide variety of geolocalized data. These data represented probes measuring meteorological elements (temperature, precipitation, wind, etc.) or atmospheric elements (radon, CO2, dose rate, etc.). The application enabled them to be spatially correlated.
It's now possible to make the most of your different data sets by comparing them temporally in a specific context. This is made possible by this new modular visualization and comparison tool.