Visualising heterogeneous cinema data sets Big, Open Data and the Practice of GIScience RGS-IBG Annual Conference, London 29 August 2013 Colin Arrowsmith, School of Mathematical and Geospatial Science, RMIT University, Melbourne, Victoria, Australia Deb Verhoeven and Alwyn Davidson, School of Communication and Creative Arts, Deakin University, Melbourne, Victoria, Australia
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Visualising heterogeneous cinema data sets
Big, Open Data and the Practice of GIScienceRGS-IBG Annual Conference, London 29 August 2013
Colin Arrowsmith, School of Mathematical and Geospatial Science, RMIT University, Melbourne, Victoria, Australia
Deb Verhoeven and Alwyn Davidson, School of Communication and Creative Arts, Deakin University, Melbourne, Victoria, Australia
2
A big data project
“Only at the movies: Kinomatics”
School of Mathematical and Geospatial Sciences
3
Objective
To investigate spatial patterns of film diffusion across the world.
–How do films circulate around the world?
–Does spatial clustering affect film screening?
–How does seasonality affect screening?
School of Mathematical and Geospatial Sciences
Dimensions of “Big data”
• Variety
• Velocity
• Volume
IBM “Bringing big data to the Enterprise”
(http://www-01.ibm.com/software/au/data/bigdata/)
• Visualization
School of Mathematical and Geospatial Sciences 4
Working with “Big data”
• Database downloaded from commercial film data collector
• 2 to 2.5 million showtime records per week
• 30000 movies downloaded after seven months
• 28000 cinema venues and 118000 screens
• 63.5 million records equating to 4.8 Gbytes of data
School of Mathematical and Geospatial Sciences 5
Database schema
School of Mathematical and Geospatial Sciences 6
Projects exploring approaches for visualising and analysing big film data
• Geographic methods– Post-war cinema venues in Australia (change-over-time)