Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation
文献类型：期刊论文
| 作者 | Zhang, Guiming2; Zhu, A-Xing1,3,4,5
|
| 刊名 | TRANSACTIONS IN GIS
 |
| 出版日期 | 2020-08-17 |
| 页码 | 26 |
| ISSN号 | 1361-1682 |
| DOI | 10.1111/tgis.12679 |
| 通讯作者 | Zhang, Guiming(guiming.zhang@du.edu) |
| 英文摘要 | Volunteered geographic information (VGI) can provide field samples for predictively mapping geographic phenomena. Yet the biased spatial coverage of VGI observations often undermines the fitness of use of VGI samples for predictive mapping. Although methods have been developed to mitigate spatial bias in VGI samples to improve predictive model performance, there exist limited investigations into the impacts of VGI sample size and spatial distribution characteristics on the effectiveness of the methods. This article presents an empirical evaluation on how the two factors affect the effectiveness of bias mitigation methods with a case study of mapping habitat suitability of the red-tailed hawk (Buteo jamaicensis) using eBird data. Results reveal positive correlations between model performance improvement and sample size, given samples of similar spatial configuration. VGI samples with more spread-out spatial coverage (i.e., more representative) are more amenable to bias mitigation. However, performance improvement plateaued beyond a certain sample size and sample representativeness thresholds. |
| WOS关键词 | SELECTION BIAS ; SPECIES DISTRIBUTIONS ; HABITAT SUITABILITY ; DISTRIBUTION MODELS ; CITIZEN SCIENCE ; REPRESENTATIVENESS ; INFERENCE ; IMPROVE ; DESIGN ; VGI |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000560921300001 |
| 出版者 | WILEY |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158006]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Guiming |
| 作者单位 | 1.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China 2.Univ Denver, Dept Geog & Environm, Denver, CO 80208 USA 3.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Guiming,Zhu, A-Xing. Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation[J]. TRANSACTIONS IN GIS,2020:26. |
| APA | Zhang, Guiming,&Zhu, A-Xing.(2020).Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation.TRANSACTIONS IN GIS,26. |
| MLA | Zhang, Guiming,et al."Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation".TRANSACTIONS IN GIS (2020):26. |
入库方式： OAI收割
来源：地理科学与资源研究所
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