1. 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 COST Action TD1202 Mapping and the citizen sensor Social Media Geographic Information (SMGI): analytical opportunities for spatial planning Pierangelo Massa and Michele Campagna University Nice Sophia Antipolis @IMREDD April 23-24 2015 Università di Cagliari

2. 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 Contents  Introduction  Current practices with SMGI  Analytical opportunities for spatial planning  Our approach for SMGI analytics  Example case studies  Results and further research

3. 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: SUPPORT ANALYSIS, DESIGN DECISION- MAKING  Authoritative Geographic Information (A-GI)  Volunteered Geographic Information (VGI)  Social Media Geographic Information (SMGI)

4. 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  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 SMGI are increasingly used in diverse fields thanks to embedded Geo-information:

5. 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

6. 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

7. 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

8. 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  Textual analysis: tag cloud Italy & World

9. 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  Spatial distribution of 180 video at Regional Scale Perception: ‘Landscape’ in Sardinia

10. 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  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 Perception: ‘Landscape’ in Sardinia

11. 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  Spatial distribution of 395 video in neighborhoods and park at the local scale Perception: Cagliari neighbourhoods

12. 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 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  Textual analysis: tag-cloud analysis of words in title and description Perception: Cagliari neighbourhoods

13. 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 Photo Dataset : metadata  Place  User / UserID / UserPIC  Media URL  Data Publication  n° Likes / Comments  Caption / Tags  Spatial distribution of 13951 photos posted by 1243 users for 1 year  Analysis: 89% of photos within established settlements

14. 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 SeasonsMonthsDays Workdays Weekends

15. 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: spatial clustering Results:  290 clusters  public places  368 clusters  personal places  Spatial analysis: cluster detection using Density-Based scan (Ester et Al, 1996)  Detection of popular places for local community and personal places of users

16. 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 Results: A B C D E  A = Cathedral  B = Historic Plaza  C = Main avenue  D = Main Plaza  E = Public Garden Why these clusters?

17. 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: (A) Cathedral A A  SMGI related to the Cathedral of Santa Chiara

18. 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 BB  SMGI related to the Plaza La Marmora

19. 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: (C) Main Avenue C C  SMGI related to the Main Avenue Via Matteoti

20. 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: (D) Main Plaza D D  SMGI related to the Piazza Sella

21. 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 E E  SMGI related to the Giardini Pubblici

22. 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 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  Spatial analysis: how to detect ‘residential areas’ from clusters?

23. 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 Results:  40 clusters  9 not mapped buildings A = mapped building B = not mapped building C = mapped building D = not mapped building E = mapped building F = mapped building

24. 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  Integration of further Social Media platforms in Spatext:  Flickr, Panoramio, Vkontakte, Booking.com  Implementation of sentiment analysis  Formalization of SMGI analytics for practices  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

25. 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 University of Cagliari pmassa@unica.it Michele CAMPAGNA University of Cagliari campagna@unica.it