1. Open Knowledge
How we use the massive open lidar dataset
for the benefit of the client
Monday, March 12, 2018

2. Rockestate
Pietjan Vandooren
Materials science engineer
Financial markets expert
CFA Charterholder
Kasper Van Lombeek
Energy engineer
Geo statistician
Data scientist
Mathieu Carette
Mathematician, PhD
Software engineer
Data scientist

3. Business model Rockestate
● Open geospatial data is often needed in data science use cases
● Gathering, cleaning, standardizing this open geo data is hard work
● Data scientists are too scarce to do this internally

4. Business model Rockestate
By doing lots of use cases
● We improve our curated data lake
● We gather background knowledge about Machine Learning, spatial
statistics and building products in general

5. Address API
Demographics
GIS application (F)
GIS application (BE)
GIS application (W)
GIS application (B)
Feature extraction from GIS applications
Open geo data?

6. i.e. addresses
● Old school: sell your own address database
● New school: work and contribute to an address database that is
shared by all stakeholders

7. Advanced feature engineering

8. Advanced feature engineering

9. Open data helps

10. How much can we extract?
We are here

11. 3D vector models based on Lidar data

12. Demo

13. Do we give back?
Everything open source
It is not because you open
source something, that it helps
the community
We do have some secret
sauces that we can’t just open
today
Everything closed source
Doesn’t work, clients love
transparency
Is not attractive to attract
talent

14. Do we give back?
● We blog in great detail
● We give trainings to non-profits
● We tried to organise a hackathon for a good cause
● We contribute to open source geo software
● We speak at meetups and open source events

15. Why Open Knowledge?
● Measuring my weight daily allows me
to monitor my behaviour
● We believe these transparent
dashboards are needed to evaluate
policy
● i.e. dashboard about traffic accidents
● i.e. remuneration of notaries

16. Thank you