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Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map. 智库出版物
2016
作者:  Lesiv M;  Moltchanova E;  Shchepashchenko D;  See L;  Shvidenko A;  Comber A;  Fritz S
Adobe PDF(2949Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2019/06/18
data fusion methods  forest map  remote sensing  geographically-weighted regression  
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information. 智库出版物
2016
作者:  See L;  Mooney P;  Foody G;  Bastin L;  Comber A;  Estima J;  Fritz S;  Kerle N
Adobe PDF(2494Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2019/06/18
crowdsourcing  volunteered geographic information  citizen science  mapping  
Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information. 智库出版物
2016
作者:  Comber A;  Fonte C;  Foody G;  Fritz S;  Harris P;  Olteanu-Raimond A-M;  See L
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Accurate attribute mapping from volunteered geographic information: issues of volunteer quantity and quality. 智库出版物
2015
作者:  Foody GM;  See L;  Fritz S;  van der Velde M;  Perger C;  Schill C;  Boyd DS;  Comber A
Adobe PDF(290Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2019/06/18
neogeography, thematic mapping, accuracy, citizen science  
The impact of contributor confidence, expertise and distance on the crowdsourced land cover data quality. 智库出版物
2014
作者:  Comber A;  See L;  Fritz S
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Semantic analysis of citizen sensing, crowdsourcing and VGI. 智库出版物
2014
作者:  Comber A;  Schade S;  See L;  Mooney P;  Foody G
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Comparing expert and non-expert conceptualisations of the land: An analysis of crowdsourced land cover data. 智库出版物
2013
作者:  Comber A;  Brunsdon C;  See L;  Fritz S;  McCallum I
收藏  |  浏览/下载：1/0  |  提交时间：2019/06/18
Geo-Wiki  Geographically Weighted Kernel  Land Cover  Volunteered Geographical Information (VGI)  
Using control data to determine the reliability of volunteered geographic information about land cover. 智库出版物
2013
作者:  Comber A;  See L;  Fritz S;  van der Velde M;  Perger C;  Foody G
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VGI  Accuracy  Geographically weighted models  User's  Producer's  Portmanteu and partial portmanteu accuracies  
Comparing the quality of crowdsourced data contributed by expert and non-experts. 智库出版物
2013
作者:  See L;  Comber A;  Salk CF;  Fritz S;  van der Velde M;  Perger C;  Schill C;  McCallum I
Adobe PDF(2407Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2019/06/18
Different methods, different wilds: Evaluating alternative mappings of wildness using fuzzy MCE and Dempster-Shafer MCE. 智库出版物
2010
作者:  Comber A;  Carver S;  Fritz S;  McMorran R;  Washtell J;  Fisher P
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Uncertainty  Wildness  Fuzzy  Dempster-Shafer  Multi-criteria evaluation