public participatory gis (ppgis) and volunteered geographic information (vgi)

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Public Participatory GIS (PPGIS) and Volunteered Geographic Information (VGI) April 16, 2013

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Public Participatory GIS (PPGIS) and Volunteered Geographic Information (VGI). April 16, 2013. Definition of VGI: - PowerPoint PPT Presentation

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Page 1: Public Participatory GIS (PPGIS) and Volunteered Geographic Information (VGI)

Public Participatory GIS (PPGIS) and Volunteered Geographic Information (VGI)

April 16, 2013

Page 2: Public Participatory GIS (PPGIS) and Volunteered Geographic Information (VGI)

Definition of VGI:

Private citizens creating and sharing geographic information, often without formal qualifications, intentionally or otherwise. This is a function that for centuries has been mainly reserved to official agencies.

Volunteered Geographic Information operates at many levels – the followingexamples are arranged in terms of experience required, from high to low to none

Goodchild MF. Citizens as sensors: the world of volunteered geography. GeoJournal 2007; 69: 211-221.

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Real-time reporting of soil bacteria data based at Imperial College, London. Aanensen DM et al. EpiCollect: Linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS One 2009; 4:9.

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http://www.globe.gov/web/surface-temperature-field-campaign/overview/globe-surface-temperature-earth-observation-field-day

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North Korea, Google Maps, January 2013

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North Korea, Google Maps, February 2013

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Port-au-Prince, Haiti, December 2009

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Port-au-Prince, Haiti, January 2010

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Comet Hyakutake

Is it possible to build from these images a true sky survey? We expect the answer is “yes”

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Epidemic intelligence

- Focuses on event detection, prior to official health care reporting, laboratory confirmation and eventual official notification

- Ad hoc detection and interpretation of unstructured information available on the Internet

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Table 3. Detection rate, positive predictive value and F1 score for A/H5N1 human cases and epizootic detected by systems from 1st to 31st March 2010.

Barboza P, Vaillant L, Mawudeku A, Nelson NP, et al. (2013) Evaluation of Epidemic Intelligence Systems Integrated in the Early Alerting and Reporting Project for the Detection of A/H5N1 Influenza Events. PLoS ONE 8(3): e57252. doi:10.1371/journal.pone.0057252http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057252

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Figure 2. Timeliness of the systems for A/H5N1 cases (total, human, epizootic) reported in March 2010.

Barboza P, Vaillant L, Mawudeku A, Nelson NP, et al. (2013) Evaluation of Epidemic Intelligence Systems Integrated in the Early Alerting and Reporting Project for the Detection of A/H5N1 Influenza Events. PLoS ONE 8(3): e57252. doi:10.1371/journal.pone.0057252http://www.plosone.org/article/info:doi/10.1371/journal.pone.0057252

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https://mightymoriver.crowdmap.com/