2013
DOI: 10.1080/17538947.2013.847125
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The emergence and evolution of OpenStreetMap: a cellular automata approach

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Cited by 50 publications
(33 citation statements)
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“…In addition to previous work, the authors extracted re-occurring mapper profiles. In a subsequent work, authors started to use the data on previous community development for predicting future development [11]. Contributing to the same research strand, Mooney and Corcoran [12] focused their analyses on heavily edited objects and investigated the share of contributors being responsible for a majority of edits.…”
Section: Related Workmentioning
confidence: 99%
“…In addition to previous work, the authors extracted re-occurring mapper profiles. In a subsequent work, authors started to use the data on previous community development for predicting future development [11]. Contributing to the same research strand, Mooney and Corcoran [12] focused their analyses on heavily edited objects and investigated the share of contributors being responsible for a majority of edits.…”
Section: Related Workmentioning
confidence: 99%
“…Arsanjani et al (2015) even simulated the potential evolution of OSM through a cellular automata model. In a study of the road network in Beijing, Zhao et al (2015) demonstrated how the mapping behaviour advances OSM data, in particular, how the evolution of the road network is shaped by exploration and densification activities.…”
Section: Related Workmentioning
confidence: 99%
“…Typically, the quality assessment of VGI is carried out by comparing VGI with external reference datagenerally in the form of authoritative data such as national topographic maps. Most studies of quality assessment for VGI have focussed on OSM, especially with regard to the data's positional accuracy (Haklay, 2010;Haklay et al, 2010;Neis et al, 2011;Canavosio-Zuzelski et al, 2013), completeness (Haklay, 2010;Neis et al, 2011;Hecht et al, 2013) semantic accuracy (Fan et al, 2014) and currency (Jokar Arsanjani et al, 2013). Few studies have focused on intrinsic quality assessment, which is necessary to assess VGI data quality in the absence of an external authoritative reference (Barron et al, 2014), perhaps because of the lack of consistent information about contributors, their skills, protocols by which VGI were collected, or the goals of the VGI projects.…”
Section: Introductionmentioning
confidence: 99%