Transcript Mapping and the citizen sensor COST Action TD1202 Mapping and the citizen sensor Social Media Geographic Information (SMGI): analytical opportunities for spatial planning Pierangelo Massa and.

Mapping and the
citizen sensor
COST Action TD1202
Mapping and the citizen sensor
Social Media Geographic Information (SMGI):
analytical opportunities for spatial planning
Pierangelo Massa and Michele Campagna
Università di Cagliari
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
University Nice Sophia Antipolis
@IMREDD April 23-24 2015
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Contents
 Introduction
 Current practices with SMGI
 Analytical opportunities for spatial planning
 Our approach for SMGI analytics
 Example case studies
 Results and further research
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Introduction
Unprecedented availability of digital Geographic Information:
 Authoritative Geographic Information (A-GI)
 Volunteered Geographic Information (VGI)
 Social Media Geographic Information (SMGI)
SUPPORT
ANALYSIS,
DESIGN
DECISIONMAKING
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Current practices with SMGI
SMGI are increasingly used in diverse fields thanks to embedded Geo-information:
 Disaster management  response efforts – situation awareness – real-time analysis
 Political events
 statistical reports – trends analysis
 Media events
 events detection
 Social studies
 sentimental analysis – semantic analysis – behavioral analysis
 Urban planning
 land use investigation – urban movement – geodemographics
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Analytical opportunities for spatial planning
 Opportunities:
Citizens as volunteered (or un-volunteered) sensors for Geographic Information
Movement, interests, opinions, needs and experiential knowledge of community
Novel analytical frameworks for coupling Space, Time, User and Contents
 Issues:
Data Harvesting: new tools to collect social information
Data Management: Big Data analytics to manage, integrate and analyze information
Information Reliability: quality and credibility
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Our approach for SMGI analytics
Spatext tool
 Add-in for ESRI ArcGIS
 Developed in Python 2.7
 Connected to 5 social media
 Harvest and manage data from social media
 Geocode and georeference data
 Temporal and Textual analysis
 Spatial-User clustering
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Disaster event: the Cyclone Cleopatra
 Spatial distribution of 399 tweets for keyword “Sardinia floods”
 Cyclone occurred in Sardinia 18 November 2013
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Disaster event: the Cyclone Cleopatra
 Temporal analysis: trend and peaks
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
 Textual analysis: tag cloud Italy & World
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Perception: ‘Landscape’ in Sardinia
 Spatial distribution of 180 video at Regional Scale
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Perception: ‘Landscape’ in Sardinia
 Semantic analysis:
semantic classification
of words in title and
caption of video
 Tag Cloud analysis:
tag-cloud analysis of
most used words in title
and caption of video
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Perception: Cagliari neighbourhoods
 Spatial distribution of 395 video in neighborhoods and park at the local scale
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Perception: Cagliari neighbourhoods
 Textual analysis: tag-cloud analysis of words in title and description
The results define a clear image of the overall perception of users:
•
•
•
•
CASTELLO: historical building, places, ways and traditional events
MARINA: celebrations and specific buildings (church and harbor)
IS MIRRIONIS: football related activities and urban park
MOLENTARGIUS PARK: toponyms, flora and fauna
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Land use detection: Iglesias municipality
 Spatial distribution of 13951 photos posted by 1243 users for 1 year
 Analysis: 89% of photos within established settlements
Photo Dataset : metadata
 Place
 User / UserID / UserPIC
 Media URL
 Data Publication
 n° Likes / Comments
 Caption / Tags
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Land use detection: temporal analysis
 Temporal analysis: investigation of patterns
Seasons
Months
Workdays
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
Days
Weekends
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Land use detection: spatial clustering
 Spatial analysis: cluster detection using Density-Based scan (Ester et Al, 1996)
 Detection of popular places for local community and personal places of users
Results:
 290 clusters
 public places
 368 clusters
 personal places
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Land use detection: identifying public places
Why these clusters?
B
Results:
 A = Cathedral
C
A
D
 B = Historic Plaza
 C = Main avenue
 D = Main Plaza
 E = Public Garden
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
E
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Public places: (A) Cathedral
 SMGI related to the Cathedral of Santa Chiara
A
A
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Public places: (B) Historic Plaza
 SMGI related to the Plaza La Marmora
B
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
B
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Public places: (C) Main Avenue
 SMGI related to the Main Avenue Via Matteoti
C
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
C
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Public places: (D) Main Plaza
 SMGI related to the Piazza Sella
D
D
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Public places: (E) Public Garden
 SMGI related to the Giardini Pubblici
E
E
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Land use detection: residential areas
 Spatial analysis: how to detect ‘residential areas’ from clusters?
Used parameters
 cluster centroid Yes
 photo barycenter Yes
 number of photo => 5
 photo/area => 4
 Intersections <= 2
 photo time dist. => 30
Results:
 50 residential clusters
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Land use detection: missing buildings
 Spatial analysis: how to identify missing buildings in A-GI?
Used parameters
 cluster centroid No
 photo barycenter No
 number of photo => 5
 photo/area => 4
 Intersections <= 2
 photo time dist. => 30
A = mapped building
B = not mapped building
C = mapped building
D = not mapped building
E = mapped building
F = mapped building
Results:
 40 clusters
 9 not mapped buildings
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Results and further development






Spatext tool for SMGI analytics
Integration with standard GIS tools
Spatial-Temporal Textual analysis
Topics trend, Perceptions and Topography from SMGI
Pluralist information with professional knowledge
Innovative methods for supporting urban and regional planning
 Integration of further Social Media platforms in Spatext:
 Flickr, Panoramio, Vkontakte, Booking.com
 Implementation of sentiment analysis
 Formalization of SMGI analytics for practices
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE
Mapping and the
citizen sensor
Thank you for your attention!
Pierangelo MASSA
Michele CAMPAGNA
University of Cagliari
University of Cagliari
[email protected]
[email protected]
Pierangelo MASSA & Michele CAMPAGNA
University of Cagliari, DICAAR
COST ACTION TD1202
ESR EVENT
23 – 24 April 2015
IMREDD - Nice, FRANCE