Guaranteed anonymity in high-dimensional data using differential privacy
Mobility monitoring in Austria during the COVID NPI
Reproducible, effortless & great looking visualization of geospatial data.
Bring hexagons as efficient spatial operations to spark
Combine the strengths from geomesa and geospark for ultimate geoprocessing capabilities on spark
Analyze the OSM community and extract geometries from the graph.
Processing OSM in a scalable hadoop native way.
Scale out traditional sf operations in R using a spark cluster
Introduction to processing geospatial data from classical small data applications to big data workloads