Maps based on OpenStreetMap data

As an Open Source and Open Data player, Kalisio offers maps based on OpenStreetMap data. However, because the OpenStreetMap Foundation is a non-profit organization with limited resources, you simply cannot use the openstreetmap.org tile servers as you wish (see Tile Usage Policy ):

OpenStreetMap data is free for everyone to use. Our tile servers are not.

Until now, we have therefore used a third-party provider to get ready to use optimized data (ie tiles) hosted on our servers, or those of our customers. Today, we are happy to be able to generate our own tiles from the OpenStreetMap database in total autonomy, in particular thanks to the fabulous ecosystem that we are helping to enrich:

  • kaabah for the automated provisioning of computing infrastructures,
  • krawler for the orchestration of computational tasks,
  • openmaptiles for importing the OpenStreetMap database and generating tiles,
  • tippecanoe for the aggregation of tiles,
  • kargo for the provision of tiles via various standard OGC protocols.

A work that could seem trivial in 2021 but which is not, however. It required not less than 256 CPUs and several days of calculation to produce this 90 gigabytes dataset, which some statistics will illustrate:

  • 508 million buildings,
  • 602 million transport-related entities (roads, railways, etc.),
  • 80 million points of interest (public facilities, tourism, shops, etc.),
  • 113 million administrative entities (countries, states, regions, cities).

Nothing new or revolutionary (eg Google Maps), but this is a step toward digital sovereignty, a know-how allowing independence and resilience.

 Visualise the result in Kano.

 

Kalisio has started R&D activities on flood risk

Visualise the area lower than a given elevation level in real-time is now possible (watch the video) ! Combining this with real time hydrometric data would allow to identify zones at risk in a given area. Now, combine this with a predictive model and we could identify it hours ahead.

We have launched R&D activities in all of these directions, if you own precise elevation data or hydrometric data in your region and would like to join our effort, contact us.

IRSN is choosing Weacast to redesign its Meteo Server

After AIRBUS, the French Institute for Radiation Protection and Nuclear Safety (IRSN) is collaborating with KALISIO to work on the next generation meteo server. This server is part of the IRSN’s emergency response system and should deliver various meteorological forecasts (ARPEGE, AROME, GFS…) . The proposed solution will be based on our Weacast solution, just like the AIRBUS X-Wind application.