Explore OSM data with ARLAS
Get instant geo-analytic view of billions OSM data entries
- Track: Geospatial devroom
- Room: D.geospatial
- Day: Sunday
- Start: 11:20
- End: 12:00
- Video with Q&A: D.geospatial
- Video only: D.geospatial
- Chat: Join the conversation!
ARLAS Exploration is geo-analytic solution based on big-data technologies. It helps users who have big volumes of spatio-temporal data, to explore it through analytics and geo-analytics views.
In this devroom we will use ARLAS to explore OSM data with an Analytic perspective. We will go through the following steps: - Download and index OSM data in a search engine (Elasticsearch) and make it available to exploration by ARLAS stack - Configure ARLAS dashboards based on this data and create analytical and geo-analytical views
We will be able to answer questions such as: - How many buildings are in the downloaded dataset? And how are they distributed geographically ? - What are the different existing types of buildings? With what proportions ? - When this data has been created/edited and with what frequency ?
Gisaïa is a geospatial intelligence company based in France. Gisaïa developed ARLAS Exploration, and has built a robust geo-big data ecosystem to continuously update and run it. ARLAS Exploration is open-source and OGC compliant allowing users to integrate it with GIS platforms lending it to high interoperability. This promotes full access to all types of geospatial data.
ARLAS Exploration is a powerful geoanalytics platform that developers can build on and data scientists can deploy immediately to go into the depths of their geo-big data. With this devroom, Gisaïa will provide a future-centric geoanalytics tool for participants to easily conduct geo-big data analytics.
As an example, we will show how to use ARLAS with OSM data and get instantly Geo-analytic insights of it.
Speakers
| Mohamed Hamou |
