[1] |
YAN Yingwei, FENG C C, HUANG Wei, et al. Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience[J]. International Journal of Geographical Information Science, 2020, 34(9): 1765-1791.
doi: 10.1080/13658816.2020.1730848
|
[2] |
Osm/Full. OpenStreetMap Wiki—Planet[EB/OL]. [2020-11-13]. https://wiki.openstreetmap.org/w/index.php?title=Planet.osm/full&oldid=1661018 .
|
[3] |
RAMM F, TOPF J, CHILTON S. OpenStreetMap: using and enhancing the free map of the world[M]. Cambridge: UIT Cambridge, 2010.
|
[4] |
YANG Anran, FAN Hongchao, JING Ning. Amateur or professional: assessing the expertise of major contributors in OpenStreetMap based on contributing behaviors[J]. ISPRS International Journal of Geo-Information, 2016, 5(2): 21. DOI: 10.3390/ijgi5020021.
doi: 10.3390/ijgi5020021
|
[5] |
ROBERTSON C, FEICK R. Inference and analysis across spatial supports in the big data era: uncertain point observations and geographic contexts[J]. Transactions in GIS, 2018, 22(2): 455-476.
doi: 10.1111/tgis.12321
|
[6] |
SEE L, MOONEY P, FOODY G, et al. Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information[J]. ISPRS International Journal of Geo-Information, 2016, 5(5): 55.
doi: 10.3390/ijgi5050055
|
[7] |
BUDHATHOKI N R, HAYTHORNTHWAITE C. Motivation for open collaboration: crowd and community models and the case of OpenStreetMap[J]. American Behavioral Scientist, 2013, 57(5): 548-575.
doi: 10.1177/0002764212469364
|
[8] |
SEHRA S S, SINGH J, RAI H S. Using latent semantic analysis to identify research trends in OpenStreetMap[J]. ISPRS International Journal of Geo-Information, 2017, 6(7): 195.
doi: 10.3390/ijgi6070195
|
[9] |
NEIS P, ZIELSTRA D. Recent developments and future trends in volunteered geographic information research: the case of OpenStreetMap[J]. Future Internet, 2014, 6(1): 76-106. DOI: 10.3390/fi6010076.
doi: 10.3390/fi6010076
|
[10] |
MA Ding, SANDBERG M, JIANG Bin. Characterizing the heterogeneity of the OpenStreetMap data and community[J]. ISPRS International Journal of Geo-Information, 2015, 4(2): 535-550.
doi: 10.3390/ijgi4020535
|
[11] |
MUTTAQIEN B I, OSTERMANN F O, LEMMENS R L G. Modeling aggregated expertise of user contributions to assess the credibility of OpenStreetMap features[J]. Transactions in GIS, 2018, 22(3): 823-841. DOI: 10.1111/tgis.12454.
doi: 10.1111/tgis.12454
|
[12] |
MOHAMMADI N, SEDAGHAT A. A framework for classification of volunteered geographic data based on user’s need[J]. Geocarto International, 2021, 36(11): 1276-1291.
doi: 10.1080/10106049.2019.1641562
|
[13] |
NIELSEN J. Participation inequality: encouraging more users to contribute[D]. Japan: National Institute of Informatics, 2006.
|
[14] |
VIEIRA M R, FRIAS-MARTINEZ V, OLIVER N, et al. Characterizing dense urban areas from mobile phone-call data: discovery and social dynamics[C]//Proceedings of the 2010 IEEE Second International Conference on Social Computing. Minneapolis: IEEE, 2010: 241-248.
|
[15] |
TRUJILLO N, CHAPUIS R, CHAUSSE F, et al. Object recognition: a focused vision based approach[C]//Proceedings of the 3rd International Symposium on Visual Computing. Lake Tahoe: Springer, 2007: 631-642.
|
[16] |
FAROKHI M, HASHEMI M. The analysis of children’s drawings: social, emotional, physical, and psychological aspects[J]. Procedia-Social and Behavioral Sciences, 2011, 30: 2219-2224.
doi: 10.1016/j.sbspro.2011.10.433
|
[17] |
ALIPOUR A, KAZEMI S. Dominant right hemisphere controls biased rotation perception[J]. Psychology & Neuroscience, 2015, 8(4): 435-441.
|
[18] |
FAGARD J, DAHMEN R. The effects of reading-writing direction on the asymmetry of space perception and directional tendencies: a comparison between French and Tunisian children[J]. Laterality: Asymmetries of Body, Brain and Cognition, 2003, 8(1): 39-52.
doi: 10.1080/713754473
|
[19] |
LUCAFÒ C, MARZOLI D, PRETE G, et al. Laterality effects in the spinning dancer illusion: The viewing-from-above bias is only part of the story[J]. British Journal of Psychology, 2016, 107(4): 698-709.
doi: 10.1111/bjop.12166
|
[20] |
BÉGIN D, DEVILLERS R, ROCHE S. The life cycle of contributors in collaborative online communities—the case of OpenStreetMap[J]. International Journal of Geographical Information Science, 2018, 32(8): 1611-1630.
doi: 10.1080/13658816.2018.1458312
|
[21] |
KATSUKI F, CONSTANTINIDIS C. Bottom-up and top-down attention: different processes and overlapping neural systems[J]. The Neuroscientist, 2014, 20(5): 509-521.
doi: 10.1177/1073858413514136
|
[22] |
ZHANG Hongyu, MALCZEWSKI J. Quality evaluation of volunteered geographic information: the case of OpenStreetMap[M]//Information Resources Management Association (USA). Crowdsourcing:Concepts, Methodologies, Tools, and Applications. [S.l.]: IGI Global. 2019: 1173-1201.
|
[23] |
VEAL A J. Leisure, income inequality and the Veblen effect: cross-national analysis of leisure time and sport and cultural activity[J]. Leisure Studies, 2016, 35(2): 215-240.
doi: 10.1080/02614367.2015.1036104
|