The document discusses spatial data analytics, including its applications, operations, and various geospatial data mining techniques. It outlines the use cases for customer activity tracking and traffic predictions, along with the datasets and tools employed in the analysis. It also highlights considerations for workflow composition and future directions for spatial data analytics.

1. SPATIAL DATA ANALYTICS
MARC PLANAGUMÀ
LEAD DATA ENGINEER AND RESEARCHER BDIGITAL

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

3. Our team

4. Our work

5. A world of geolocated data

6. Applications

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

10. Spatial data analytics
Basic Spatial Types
Line Point Polygon
* plus others

11. Spatial data analytics
Geometries

12. Spatial data analytics
Operations
Contains Within

13. Spatial data analytics
Operations
Equals Disjoint

14. Spatial data analytics
Operations
Touches Overlaps
Crosses

15. Spatial data analytics
Operations
Distance

16. Spatial data analytics
Operations
Union Difference

17. Spatial data analytics
Operations
Intersection Symmetric Diff

18. Spatial data analytics
Complex operations
Buffering
Convex Hull

19. Spatial data analytics
Complex operations
Area

20. Spatial data analytics
Geospatial data mining techniques
Density-based clustering Hierarchy-based clustering

21. Spatial data analytics
Geospatial data mining techniques
Heatmaps

22. Spatial data analytics
Geospatial data mining techniques
Trajectory mining

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?

25. Spatial data analytics
Our Datasets
Twitter (Point)
Meteo (Polygon)
Traffic status (Multi-Line-String)
Traffic incidence (Multi-Point)
Credit card ops (Multi-Point)
Demographic (Point & Polygon)
Shapefiles (Multi-Polygon)

26. Our Tools
Spatial data analytics
Queries
Clustering
Heat maps
Trajectory
Anomaly detection

27. Our Stacks

28. Spatial data analytics
Old School Stack - Why Not?
PostGIS Hadoop + GIS
Kibana
Tools ElasticSearch

30. Spatial data analytics
Hadoop Stack - The new Classic
PostGIS Hadoop + GIS
Kibana
Tools ElasticSearch

32. Spatial data analytics
Complete Stack - Big Data GIS
PostGIS Hadoop + GIS
Kibana
Tools ElasticSearch

34. Do’s and Don’ts
Spatial data analytics
Geo Batch
Near Real-Time
Basic Geo Operations
Workflow Composition
Geo Streams
Real-Time
Advanced Geo Op.
Unattended Workflow

35. What’s
next?

36. Spatial data analytics
RFC ;)

37. Moltes gràcies!
nom@bdigital.org
mplanaguma@bdigital.org
@djkram @bdigital

38. 17TH ~ 18th NOV 2014
MADRID (SPAIN)