About: How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information

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article by Mordechai Haklay et al published November 2010 in Cartographic Journal

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в листопаді 2010 (uk) im November 2010 veröffentlichter wissenschaftlicher Artikel (de) article by Mordechai Haklay et al published November 2010 in Cartographic Journal (en)
publication date	wds:Q57538233-B0FC128A-564C-42E5-B3D0-85F0A9322449
publication date	2010-11-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q57538233-2D0E0153-F3F9-467A-A258-F6FDE8F22F7A wds:Q57538233-5D67D1BC-43F3-4EBA-9504-3B0E39DBA16C wds:Q57538233-5DE873EF-699F-4187-B33E-7CA5D6A4D414 wds:Q57538233-956427F5-1D2F-4543-AC3F-DF10EFF9FC5E wds:Q57538233-FA2172A0-A23B-44C7-888E-2E74ECC8D642
cites work	The Quake-Catcher Network: Citizen Science Expanding Seismic Horizons OpenStreetMap: User-Generated Street Maps Quality Assessment of the French OpenStreetMap Dataset Web Mapping 2.0: The Neogeography of the GeoWeb Cooperation and quality in wikipedia
author name string	wds:Q57538233-639B4A5B-D25B-439C-B618-9136D293D892 wds:Q57538233-895CBC3B-04F7-4EEA-AD20-DAF62B03D65A wds:Q57538233-B061CC42-0A26-4826-81DD-E0BE51868D89
author name string	Vyron Antoniou Aamer Ather Sofia Basiouka
rdfs:label	How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (en) How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (nl)
skos:prefLabel	How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (en) How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (nl)
name	How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (en) How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (nl)
author	wds:Q57538233-1DC5D1EB-BEBA-4BCC-81C2-FBAE7ACF5DCE
author	Mordechai Haklay
title	wds:Q57538233-C1A50EB6-0BA5-4C1A-89C2-07920F72DE9F
title	How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (en)
page(s)	wds:Q57538233-327048EE-29E1-4B03-9306-385FCC29E3A1
page(s)	315-322
instance of	wds:Q57538233-400BD5AB-B972-46A5-9181-4B7960962295
instance of	scholarly article
published in	wds:Q57538233-A58F7625-EBCA-41D7-A8E2-52CB50E10131
published in	Cartographic Journal
issue	wds:Q57538233-2A0B80BE-0D8D-42C7-B3BF-6E68F4508AE4
volume	wds:Q57538233-C9F202EA-22DE-4D6C-88AA-0121DB7EDD77
issue	4
volume	47
DOI	wds:Q57538233-E87C9945-F235-4A36-B953-4EEE47C5D766
DOI	http://dx.doi.org/10.1179/000870410X12911304958827
DOI	10.1179/000870410X12911304958827
ResearchGate publication ID	wds:Q57538233-D138B453-43A3-4A7D-B0BD-31C6D59F4E5F
ResearchGate publication ID	235045357
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57538233
is cites work of	Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information High resolution global gridded data for use in population studies Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap Mass Participation During Emergency Response Citizen Science in the Age of Neogeography: Utilizing Volunteered Geographic Information for Environmental Monitoring Assessing the impact of demographic characteristics on spatial error in volunteered geographic information features Characteristics of Heavily Edited Objects in OpenStreetMap Safety-aware routing for motorised tourists based on open data and VGI Usability of VGI for validation of land cover maps Trust as a Proxy Measure for the Quality of Volunteered Geographic Information in the Case of OpenStreetMap Integrating and Generalising Volunteered Geographic Information Inferring the Scale of OpenStreetMap Features Spatial Collective Intelligence? credibility, accuracy, and Volunteered Geographic Information Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX) Degrading permafrost puts Arctic infrastructure at risk by mid-century Crowdsourcing for climate and atmospheric sciences: current status and future potential Areal Delineation of Home Regions from Contribution and Editing Patterns in OpenStreetMap VGI and Reference Data Correspondence Based on Location-Orientation Rotary Descriptor and Segment Matching Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data The epistemology(s) of volunteered geographic information: a critique Using Crowdsourced Trajectories for Automated OSM Data Entry Approach Participatory surface algal bloom monitoring in Finland in 2011–2013 Capturing Volunteered Information for Inclusive Service Design: Potential Benefits and Challenges Geocrowdsourcing and accessibility for dynamic environments Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya Work Always in Progress: Analysing Maintenance Practices in Spatial Crowd-sourced Datasets Exploring Maintenance Practices in Crowd-Mapping Citizen science for pedestrian cartography: collection and moderation of walkable routes in cities through mobile gamification Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data Using small cities to understand the crowd behind OpenStreetMap Improving Volunteered Geographic Information Quality Using a Tag Recommender System: The Case of OpenStreetMap Open data on health-related neighbourhood features in Great Britain
is cites work of	wds:Q58419560-441F2FA4-BFE4-4BC9-84DA-306014C0A175 wds:Q55674006-C98409AC-428E-458D-94A3-9E71B3B47F29 wds:Q55833070-22CB05CF-8B0C-439C-A5A4-4C156A355232 wds:Q58514425-F05815EF-B756-42D2-9BB7-5DFBD9B29216 wds:Q73251916-418EA40C-E42D-4325-8AA6-A62D803D326B wds:Q59140238-41AF3BC1-CD6E-4760-BC78-5F5EB0BEDEBA wds:Q58296791-4830D136-4512-4D31-B6AE-FEDF89DA41CF wds:Q66693704-BA23F9EF-1828-4DE0-885A-9FF73597A7BD wds:Q73119868-6869221F-86DD-4E24-86EF-034753847374 wds:Q31131949-9DDEBCAF-EE96-4D2E-92BE-778BAD04DDB0 wds:Q55887763-E1399F6B-F2DD-4DB5-B3E6-1FDD288BE926 wds:Q59789378-8A7F26E9-35C4-4208-91B2-E73A44BC6253 wds:Q28651718-9945DBE2-B61F-48AB-8401-CB901B32CA1C wds:Q56773306-FCD56B6A-45A6-43BC-B9F8-5BA447CF7A80 wds:Q58320573-D311D28B-2FCB-4279-A71F-056650A68BA6 wds:Q57902373-2C07E0D4-9B61-40F4-9656-296B96729A24 wds:Q55674011-C010F33A-B085-4886-AD3B-ACE74D18A1C3 wds:Q55674017-0FC59D4F-D2B8-46A3-9E4B-0EFAFE614756

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