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What is it?

Harnessing the potential of crowd sourcing for geospatial inventorying in disaster response using Open Source Geospatial Tools. What is it?.

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What is it?

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  1. Harnessing the potential of crowd sourcing for geospatial inventorying in disaster response using Open Source Geospatial Tools

  2. What is it? • Crowdsourcing is the practice of outsourcing tasks to a broad, loosely defined external group of people. The idea is generally to introduce new or more developed skill sets or a larger work force to achieve some specific goal. • The term was first coined in 2006 by Wired magazine author Jeff Howe in an article titled "The Rise of Crowdsourcing."

  3. Other Name of Crowd Sourcing in GIS • Neo-Geography • Volunteered Geographic Information • Collaboration GIS

  4. Some Examples • Possibly, the earliest example of Crowd Sourcing is the collection of words for the Oxford English Dictionary (OED). In 1858, a group called the Philological Society contracted with over 800 volunteer readers to collect words from all available books and document their usages. Subsequently, the group solicited broader public input and received over six million submissions over the 70 years of the project. • In 1936, Toyota held a contest seeking a new logo design. The winning design from over 26,000 entries remained the company's corporate logo until 1989.  • Wikipedia launched as a collaboratively written and edited online encyclopaedia in January 2001. Free registration enabled anyone to submit or edit an entry. The multilingual site now hosts several million entries in English alone.  

  5. Mapping Using Crowd Sourcing Wikimapia

  6. Mapping Using Crowd Sourcing Open Street Map

  7. Mapping Using Crowd Sourcing

  8. Mapping Using Crowd Sourcing

  9. How it Works • Feature Service • User Input

  10. Crowd Sourcing can Provide Solutions where….. Maps are OLD

  11. Crowd Sourcing can Provide Solutions where….. We have No funds

  12. Crowd Sourcing can Provide Solutions where….. Survey becomes really a very Time Consuming Process & resulting in a Low Output

  13. Disaster Management

  14. Disaster Management • Natural Disaster. • Man – Made Disaster.

  15. Planning after Disaster Management • Send team to ground for data collection • Acquire data in proper format, distribute to concerned department. • Plan evacuation • Send teams on ground.

  16. Undesired Outcome of Planning after Disaster Management Unplanned Survey = Time = Loss of Capital / Life

  17. Crowd Sourcing and Disaster Management User uploads data = Data for planning team

  18. Crowd Sourcing and Disaster Management Data(VGI) = Saves Time for Survey

  19. Crowd Sourcing and Disaster Management Data(VGI) = Saves life

  20. How It Works?

  21. Limitation

  22. Limitations 1. Non Trained Volunteers. 2. Data Authentications 3. Standards / Quality of Acquired Data

  23. A homeowner who evacuated based on information from an online map created by a volunteer might be responding to a false positive, and by waiting for officials, verified information might have avoided the need to evacuate altogether. But on the other hand the delay in acquiring information from official sources might have made the difference literally between life and death.

  24. Crowd Sourcing- A New Way! Nokia Maps Creator

  25. Crowd Sourcing- A New Way! Waze- Traffic & Roads

  26. Architect of Application using Open Source

  27. Data in XML

  28. Cycle of Data input

  29. Adityakumar/ManjushKoshy

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