We talk about the data science under the hood of our products, some of the (technical) challenges we face and how we solve them, our views & opinions and our customer successes.
Corona Direct launched a new home insurance product. With Rock.estate's building data they have removed a lot of friction from their underwriting process.
Zimmo's Prijswijzer has been running in production for a week. The analysis of the user statistics led us to several interesting insights.
The what, the why and the how with a particular focus on open geo-data.
Zimmo has launched a new website to help its users estimate the price of a house. Rock.estate has built the predictive model behind the application.
Although heatmaps come with many pitfalls, we believe it is a good idea to interpolate listed asking prices and turn these interpolations into a heatmap using kriging.
A WMTS (Web Map Tile Service) journey in the Belgian coordinate system.
Aiming for 100% matched addresses or only match addresses where you are 100% sure? Make sure you understand your choice and its consequences.
Why 2D needs 3D: correcting building perspective in orthophotos.
Although automated feature engineering is hot today, we still highly value feature engineering based on background knowledge. We demonstrate this approach with an example.
Challenges encountered while computing volumes and how to cope with them.
Fosdem gets better year after year: we saw lots of familiar faces in the geospatial dev room, we gave a talk and list some other talks we liked.
Quickly make an interactive presentation with two lines of CSS
Combining the strengths of pdal, ipyvolume and jupyter.