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Extraction and visually driven analysis of geography and dynamics of people's reaction to events

English title Extraction and visually driven analysis of geography and dynamics of people's reaction to events
Applicant Purves Ross
Number 166788
Funding scheme Project funding (Div. I-III)
Research institution Geographisches Institut Universität Zürich
Institution of higher education University of Zurich - ZH
Main discipline Other disciplines of Engineering Sciences
Start/End 01.04.2017 - 30.09.2020
Approved amount 336'417.00
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Keywords (5)

User-generated content; Volunteered geographic information; Geographic Information Science; Visualization; Events

Lay Summary (German)

Lead
Die zunehmende Verfügbarkeit von nutzergenerierten Daten, beispielsweise in sozialen Medien und Blogbeiträgen, die im Raum verortbar sind, hat fundamentale Änderungen in der Entstehung und Nutzung dieser geographischen Informationen mit sich gebracht. Diese Änderungen haben Auswirkungen auf alle Forschungsbereiche, welche solche Daten verwenden und sich damit beschäftigen, wie Menschen untereinander und mit ihrer Umwelt interagieren. Dieses Projekt untersucht an beispielhaften Ereignissen wie Naturkatastrophen, politischer oder sozialer Ereignisse, wie verschiedene Nutzergruppen auf diese Ereignisse reagieren.
Lay summary

Ein zentraler Fokus des Projektes ist es, soziale, ökologische oder politische Ereignisse in nutzergenerierten Geodaten zu charakterisieren und auf deren Haupteinflussfaktoren Raum, Zeit, Thematik und sozialer Kontext zu untersuchen. Dazu ist es erforderlich, eine Vielzahl von heterogenen Datenquellen (z.B. Tweets und Mobildaten) miteinander in Beziehung zu setzen, die hohe Aktualisierungsraten und unterschiedliche Detailierungsgrade aufweisen. Das Ziel des Projektes ist es, ein System integrierter visueller und computertechnischer Methoden zu entwickeln, welches ermöglicht, durch Analyse von raumbezogenen Daten die Reaktionen von verschiedenen sozio-demographischen Nutzergruppen auf signifikante Ereignisse zu untersuchen. 

Die Entwicklung von Methoden zur Charakterisierung von Ereignissen in neuartigen Datenquellen raumbezogener, nutzergenerierter Inhalte ermöglicht es, Rückschlüsse darauf zu ziehen, wie Nutzergruppen durch verschiedene Faktoren beeinflusst werden und wie diese Gruppen auf Ereignisse und deren Entwicklung reagieren.

Direct link to Lay Summary Last update: 23.02.2017

Responsible applicant and co-applicants

Employees

Abstract

The rise of so-called Volunteered Geographic Information (VGI) has brought with it fundamental changes not only in the nature of geographic data, but also its production and accessibility. These changes have implications across the board for those carrying out research requiring geographic data, and most profoundly for research exploring how humans interact with and are affected by changes in their environment. In this project we propose moving beyond event detection, to investigate ways in which events can be characterised according to four key dimensions: spatial, temporal, thematic and social context. This characterisation will allow us to capture information about how groups of users are both affected by, and react to events and their evolution. To do so will require us to relate a variety of data sources with heterogeneous properties, which in some cases are generated with high velocities and volumes and have multiple granularities. Our approach to characterising events has the following central pillars: data extraction and event identification; analysis of data content and semantics and associated interactive, dynamic visualisation. Analysis methods typical generate more information, and as such, given the large volumes of data that are our starting point will require effective visual analytics approaches enabling users to interact with the expected large data volumes. Our objective is therefore to develop a system of integrated visual and computational methods enabling investigation of people’s reactions to significant events through analysis of volunteered geographic information containing both explicit and implicit georeferences. Thus we will firstly develop a taxonomy of events focusing on the four mentioned dimensions associated with events and ways in which events are reacted to. The extraction of events from VGI will be based on a combination of spatial, temporal and textual analysis methods to link events, groups and their characteristics to space, time and social context. Our analysis will focus on reactions to events, and in so doing the socio-demographics of involved groups. In the analysis of the social aspects of group reactions to events a central tenet will be the use of privacy preserving methods which effectively obfuscate individuals. We will illustrate our concepts through the implementation of a set of demonstrators including (but not limited to) disaster management, public involvement in local affairs, migration, climate and environment, social geography and medicine and health.
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