Web mapping 2.0: The neogeography of the GeoWeb

By M. Haklay, A. Singleton, C. Parker. 2008

613 citations recorded by the source corpus.

Subfields: Geography, Planning and Development, Transportation, Signal Processing

View Paper: https://www.semanticscholar.org/paper/cbf14399a2be7c411a815fb1d7706820134b9df3

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In Geography, Planning and Development

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In Signal Processing

Citations in the corpus

How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (2010, background): “0 (Haklay et al., 2008; Elwood, 2009), the applications that involve geographical information collection and sharing by a wide range of participants deserve special attention, as they present a significant departure from past practices.”
Confronting the data-divide in a time of spatial turns and volunteered geographic information (2013, background): “…Web is used, hallmarked especially by interactive, user-friendly, and collaborative Web experiences where the average user is involved in content creation through platforms such as wikis, blogs, social networking sites, and the ubiquitous user-rating systems on Web sites (Hendler and Golbeck 2008).”
How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010, background): “While the use of the Internet and the World Wide Web (Web) for mapping applications is well into its second decade, the landscape has changed dramatically since 2005 (Haklay et al., 2008).”
Geo-Wiki: An online platform for improving global land cover (2012, neutral): “The GeoWeb has led to the emergence of neography (Haklay et al., 2008), which breaks away from traditional map making by professional cartographers and mapping agencies and places this capability in the hands of individuals who want to share geographical information online either in a social or info”
Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2012, background): “…mapping software for data integration and compilation, broadband connections to the Internet, and open programming interfaces to services such as Google Earth or Microsoft’s Virtual Earth (Bing) have largely removed these motivations (Haklay, Singleton, and Parker 2008; Goodchild 2009c).”
Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover (2009, methodology): “0 [8], neogeography [9] and volunteered geographic information (VGI) [10] have been used.”
GIS-Based Multiple-Criteria Decision Analysis (2011, methodology): “Beyond the PGIS realm, GIS-based MCDA can look to Web 2.0 (Haklay et al. 2008; http://oreilly.com/web2/archive/what-is-web-20.html) for developments like crowdsourcing (Hudson-Smith et al. 2009; Poore 2010), whereby members of the public could suggest novel alternatives in a decision problem.”