http://www.bigdataspain.org/2014/conference/location-analytics
While the implementation of analytic operations on distributed computing frameworks has been widely describing, enabling the computational core of a Big Data system with capabilities for supporting geospatial querying on data is yet a challenging issue.
This session aims to target that specific aspect by reviewing how researchers at BDigital Technology Centre have designed and implemented a stack for advanced Machine Learning on Urban Data by providing a way to geoquery massive amounts of HDFS data from Spark processes without hindering the overall system performance.
2. Ciudad 2020
Exploratory lines and further work
Joana Simoes, BDigital
27/05/2014
Scaling up a in a world of geolocated data
Marc Planagumà, BDigital Technology Centre
9. Spatial data analytics
Spatial analysis or spatial statistics includes any of
the formal techniques which studies entities using
their topological, geometric or geographic
properties
23. Spatial data analytics
Geospatial data mining techniques
Geospatial querying
Spatial anomalies
Geographically weighted regressions
Self-organizing Maps
Agent-based modeling
24. Our Use Cases
Customer
activity
tracking
Spatial data analytics
Where does people
buy?
What is the profile of
the buyer?
Traffic agencies
Can we predict the
traffic status?
Can we predict the
traffic incidences?