deriving near real time geospatial footprints of crisis events from social media and authoritative...
TRANSCRIPT
Deriving near real time geospatial footprints of crisis events
combining information from social media, crowdsourced and authoritative data
Valentina Cerutti
School of Science
Valentina Cerutti - ‘Beyond Research – Pathways to Impact’ 2017 RMIT Conference – 22/02/2017 2
Introduction
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DISASTER
EMERGENCY SERVICES
Geographic and temporal extent of disaster
Rapid assessment
of affected areas
and potential risks
Situational awarenessAllocation and prioritization of resources
Up-to-date
information
?? ?
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SOCIAL SENSORS
AUTHORITATIVE DATA
Geospatial data Sensors Networks Satellite Images Models …
VGI Crowdsourced data Social Media
+ Real time+ Cost effective
- Trust- Credibility- Quality- Data shadow- Unstructured- Noisy- …
Valentina Cerutti - ‘Beyond Research – Pathways to Impact’ 2017 RMIT Conference – 22/02/2017 3
Geospatial footprint
Analysis of semantic, spatial and temporal characteristics of social
media data
Combination with ancillary authoritative data geographic
contextualization
Aggregation and representation of disaster-related information as a
geospatial footprint
Near real time
Automatic procedure!Why geospatial footprint?• Approximate imprecise areal regions from point locations
• Gain insight on the (spatio-temporal) dynamics of events
• Help synthesize and contextualize various type of geographic information
• Visualize current and future (potential) impact of the event
Exploratory visual analysis of Twitter data
Comparison with ground-truth data
Valentina Cerutti - ‘Beyond Research – Pathways to Impact’ 2017 RMIT Conference – 22/02/2017 4
18-19 Nov. 2013
V. Cerutti, G.Fuchs, G. Andrienko, N. Andrienko, F. Ostermann. Identification of disaster-affected areas using exploratory visual analysis of georeferenced Tweets: application to a flood event. 19th AGILE Conference on Geographic Information Science 2016, Helsinki, Finland
Georeferenced Tweets
Data mining and visual analysis
Real-time simulations
OPTICS Distance-bounded event clustering
Data-driven territory tessellation False positive
Application case: flood in Sardinia (Italy)
18-19 Nov. 2013
Flood-related Tweets
Valentina Cerutti - ‘Beyond Research – Pathways to Impact’ 2017 RMIT Conference – 22/02/2017 5
Reproducible research
use scientific workflows to support spatial data analytics for building geospatial footprints of events from crowdsourced data
visual language and self documenting analytics
conceptualize and manage the analysis process
Research reproducibilitycreation and reuse of analysis tasks
Qualitative + quantitative evaluation
Valentina Cerutti - ‘Beyond Research – Pathways to Impact’ 2017 RMIT Conference – 22/02/2017 6
GEOSAFE project
Research application case: Bushfire in Australia
EU-funded project with several partners (Universities, stakeholders and end-users) in Europe and Australia
2016-2020
Geospatial based Environment for Optimisation Systems Addressing Fire Emergencies
Development of innovative tools for fire management Develop and assess global or semi-global dynamic tools
for: fire suppression, lives/goods protection and implementation and training
Valentina Cerutti - ‘Beyond Research – Pathways to Impact’ 2017 RMIT Conference – 22/02/2017 7
Future research and challenges
Combination of heterogenous data sources Integration of scientific workflows to create geospatial footprints from heterogeneous data
into disaster response mechanisms Representation of current and potential impacts Near real time application
Deriving near real time geospatial footprints of crisis events
combining information from social media, crowdsourced and authoritative data
Valentina Cerutti
Thanks for your attention!