By Daniel Sui, Sarah Elwood, Michael Goodchild
The phenomenon of volunteered geographic info is a part of a profound transformation in how geographic information, info, and data are produced and circulated. by means of situating volunteered geographic details (VGI) within the context of big-data deluge and the data-intensive inquiry, the 20 chapters during this booklet discover either the theories and functions of crowdsourcing for geographic wisdom creation with 3 sections concentrating on 1).VGI, Public Participation, and Citizen technology; 2). Geographic wisdom construction and position Inference; and 3). rising purposes and New demanding situations. This booklet argues that destiny growth in VGI examine relies largely on construction robust linkages with assorted geographic scholarship. members of this quantity situate VGI learn in geography’s middle issues with area and position, and supply a number of methods of addressing chronic demanding situations of caliber insurance in VGI. This ebook positions VGI as a part of a shift towards hybrid epistemologies, and very likely a fourth paradigm of data-intensive inquiry around the sciences. It additionally considers the results of VGI and the exaflood for extra time-space compression and new varieties, levels of electronic inequality, the renewed value of geography, and the position of crowdsourcing for geographic wisdom production.
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Additional info for Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice
The Ushahidi-Haiti platform represents well the social value of such an application for crisis management. Operational only 3 days after the 2010 earthquake, it received over 3,000 testimonies of relief needs in 2 weeks with more than half being posted via SMS. Basic mapping needs were accentuated by the earthquake as well, given that there had been no recent mapping by the government 2 Understanding the Value of VGI 21 and that the national Haitian map agency was totally destroyed by the earthquake.
First, it can foster a culture of bottom-up participation where citizens can have direct control over how their viewpoints are represented within a digital mapping environment with less expert oversight and control than is typical with more structured PPGIS cases (Roche 2011). Second, participation in collaborative VGI builds individual and community capacity through improved social networks and technical skill sets. Third, the potential to mobilize hundreds, if not thousands, of loosely organized contributors over short periods of time and collaboratively construct data through distributed means is often far more responsive to emerging needs than governments or even private firms could be on their own, as Goodchild and Glendon (2010) demonstrate for crisis management purposes.