Volunteered Geographic Information: a 10-year bibliometric investigation
DOI:
https://doi.org/10.11606/eISSN.2236-2878.rdg.2023.181687Keywords:
Crowdsourced Geographic Information, Collaborative Mapping, Participatory Mapping, BibliometricsAbstract
Volunteered Geographic Information (VGI) has become more evident at the same time as open-source platforms become worldwide popular, both resulting from people easily accessing geographic information on their smartphones. Aiming to investigate the main aspects of this research field, a bibliometric investigation was developed focusing on 10-year period (2011-2020). The analyses were performed based on Scopus database, VOS Viewer and Bibliometrix softwares, approaching: publications over years, document types, subject areas, core sources, main papers, countries, authors and most recurrent keywords. The initial results indicated that: publications have increased at an annual rate of 21.69%, the most published document type was article and only 16 journals were responsible for 33.33% of those 1200 articles published. USA, Germany and UK are major countries researching VGI and the last two are also host countries of the main authors. Although the term VGI has been defined among Citizen Science, the network of keywords occurrence showed that GIS (Geographic Information Systems) is an outstanding study field. However, the network visualization based on average publication per year revealed Citizen Science as a research field still moving forward. Keywords such as OpenStreetMap, data quality, accuracy assessment, social media and crowdsourcing showed to be more widespread among the field, the opposite occurs with applications in urban areas, land use and ecosystem services. Overall, the bibliometric indicators have revealed to be effective in order to access VGI as a research topic and indicated a promising trend in themes involving social media, remote sensing, urban area, crowdsourcing and PPGIS.
Downloads
References
BROWN, G. A Review of Sampling Effects and Response Bias in Internet Participatory Mapping (PPGIS/PGIS/VGI). Transactions in GIS; v. 21, n. 1, 39-56, 2017. DOI: 21. 10.1111/tgis.12207
BUCZKOWSKI, A. To pay or not to pay – Google Maps dilemma, 2012. Available at: <https://geoawesomeness.com/to-pay-or-not-to-pay-google-maps-dilemma/>.
CAPINERI, C.; HAKLAY, M.; HUANG, H.; ANTONIOU, V.; KETTUNEN, J.; FRANK, O.; ROSS, P. Introduction. In: CAPINERI, C.; HAKLAY, M.; HUANG, H.; ANTONIOU, V.; KETTUNEN, J.; FRANK, O.; ROSS, P. (eds.). European Handbook of Crowdsourced Geographic Information. London: Ubiquity Press; 2016. p.1–13.
CASTRO, R., TIERRA, A.; LUNA, M. Assessing the horizontal positional accuracy in Openstreetmap: A big data approach. Advances in Intelligent Systems and Computing; v. 931, 513–523, 2019. DOI: 10.1007/978-3-030-16184-2_49
CHEN, X.; VO, H.; WANG, Y.; WANG, F. A framework for annotating OpenStreetMap objects using geo-tagged tweets. GeoInformatica; v. 22, n. 3, 589–613, 2018. DOI: 10.1007/s10707-018-0323-8
DE ALBUQUERQUE, J.; ECKLE, M.; HERFORT, B.; ZIPF, A. Crowdsourcing geographic information for disaster management and improving urban resilience: an overview of recent developments and lessons learned. In: Capineri, C.; Haklay, M.; Huang, H.; Antoniou, V.; Kettunen, J.; Frank, O.; Ross, P. (eds.). European Handbook of Crowdsourced Geographic Information. London: Ubiquity Press; 2016. p.309–321.
DEVKOTA, B.; MIYAZAKI, H.; WITAYANGKURN, A.; KIM, S. Using volunteered geographic information and night-time light remote sensing data to identify tourism areas of interest. Sustainability (Switzerland); v. 11, n. 17, 1-29, 2019. DOI: 10.3390/su11174718.
DORNER, W.; CAMARGO, L. R.; HOFMANN, P. Can geoinformation help to better protect informal settlements? A concept for the city of Medellin. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; v. XLII-3/W8, 115-120, 2019. DOI: 10.5194/isprs-archives-XLII-3-W8-115-2019.
ELSEVIER. Scopus: The Bibliographic Indexing Leader, 2021. Available at: <https://www.elsevier.com/research-intelligence/campaigns/get-to-know-scopus/the-bibliographic-indexing-leader>.
ELWOOD, S., GOODCHILD, M. F.; SUI, D. Z. Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice, Annals of the Association of American Geographers; v. 102, n. 3, 571–590, 2012. DOI: 10.1080/00045608.2011.595657.
FERREIRA, D. Research on big data, VGI, and the tourism and hospitality sector: Concepts, methods, and geographies. In: Sigala, M.; Rahimi, R.; Thelwall, M. (eds.). Big Data and Innovation in Tourism, Travel, and Hospitality: Managerial Approaches, Techniques and Applications. Singapore: Springer; 2019. p. 75-85.
FOSSUM, M. Websites Bypassing Google Maps Due to Fees, 2012. Available at: <https://www.webpronews.com/websites-bypassing-google-maps-due-to-new-fees>.
GARCIA, X.; GOTTWALD, S.; BENAGES-ALBERT, M.; PAVÓN, D.; RIBAS, A.; VALL-CASAS, P. Evaluating a web-based PPGIS for the rehabilitation of urban riparian corridors. Applied Geography; v. 125, 102341, 2020. DOI: 10.1016/j.apgeog.2020.102341
GARFIELD, E. Citation Indexing: Its Theory and Application in Science, Technology and Humanities. New York: John Wiley & Sons; 1972.
GOODCHILD, M. F. Citizens as Sensors: The World of Volunteered Geography. GeoJournal; v. 69, 211–221, 2007. DOI: 10.1007/s10708-007-9111-y.
HAKLAY, M. Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation. In: SUI, D.; ELWOOD, S.; GOODCHILD, M. (eds). Crowdsourced Geographic Knowledge. Dordrecht: Springer; 2013. p. 105–122, 2013.
KELER, A.; MAZIMPAKA, J. D. Safety-aware routing for motorised tourists based on open data and VGI. Journal of Location Based Services; v. 10, n. (1), 64–77, 2016. DOI: 10.1080/17489725.2016.1170216.
LULEWICZ-SAS, A. Corporate social responsibility in the light of management science - Bibliometric analysis. Procedia Eng.; v. 182, 412–417, 2017. DOI: 10.1016/j.proeng.2017.03.124
MENDES, I. A. C.; MARZIALE, M. H. P. O fator de impacto das publicações científica. Revista Latino-Americana de Enfermagem; v. 10, n. 4, 466–467, 2002. DOI: 10.1590/S0104-11692002000400001
MIAO, Z.; XIAO, Y.; SHI, W.; HE, Y.; SAMAT, A.; LIU, S. Synergy of Satellite Image and Volunteered Geographic Information to Change Analysis of Impervious Surface. In: International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 10.; 2019, Shanghai, China. Annals… Shangai: Hong Kong Polytechnic University, 2019. p. 1-5. DOI: 10.1109/Multi-Temp.2019.8866978
MONDZECH, J.; SESTER, M. Quality Analysis of OpenStreetMap Data Based on Application Needs. Cartographica: The International Journal for Geographic Information and Geovisualization; v. 46, n. 2, 115–125, 2011. DOI: 10.3138/carto.46.2.115.
NEIS, P.; ZIELSTRA, D. Generation of a tailored routing network for disabled people based on collaboratively collected geodata; Applied Geography, v. 47, 70–77, 2014. DOI: 10.1016/j.apgeog.2013.12.004.
NOVACK, T., WANG, Z.; ZIPF, A. A system for generating customized pleasant pedestrian routes based on openstreetmap data. Sensors (Switzerland); v. 18, n. 11, 3794, 2018. DOI: 10.3390/s18113794.
OKUBO, Y. Bibliometric Indicators and Analysis of Research Systems: Methods and Examples. Paris: OECD Publishing; 1997.
OSM. OpenStreetMap stats report, 2020. Available at: <https://www.openstreetmap.org/stats/data_stats.html>.
PANDIAN, Y. New Wikipedia app for iOS (and an update for our Android App), 2012. Available at: <https://diff.wikimedia.org/2012/04/05/new-wikipedia-app-for-ios-and-an-update-for-our-android-app/>.
PAUL, J. D.; HANNAH, D. M.; LIU, W. Editorial: Citizen Science: Reducing Risk and Building Resilience to Natural Hazards. Frontiers in Earth Science; v. 7, 320, 2019. DOI: 10.3389/feart.2019.00320.
ROMANELLI, J. P.; FUJIMOTO, J. T.; FERREIRA, M. D.; MILANEZ, H. D. Assessing ecological restoration as a research topic using bibliometric indicators. Ecological Engineering; v. 120, 311-320, 2018. DOI: 10.1016/j.ecoleng.2018.06.015.
SANTIN, D. M.; VANZ, S. A. de S.; CAREGNATO, S. E. The analysis of scientific collaboration networks based on bibliometric indicators. In: FRANCO, S. R. K.; FRANCO, M. E. D. P.; LEITE, D. B. C. (eds). Higher education and knowledge in the centenary of the Córdoba Reform: new perspectives in emerging contexts. Porto Alegre: EDIPUCRS, 2019. p. 189-207.
SCHMITZ, S.; ZIPF, A.; NEIS, P. New Applications based on collaborative geodata: the case of Routing, 2008. Available at: <https://www.semanticscholar.org/paper/New-Applications-based-on-collaborative-geodata-–-Schmitz-Zipf/0cae7b250a72aa477725577ab2badf65d2f94bca>.
SENTURK, I. F.; KEBE, G. Y. A New Approach to Simulating Node Deployment for Smart City Applications Using Geospatial Data. In: International Symposium on Networks, Computers and Communications (ISNCC), 2019, Istanbul, Turkey. Annals… Istanbul: IEEE, 2019. p. 1-5. DOI: 10.1109/ISNCC.2019.8909101
VAN ECK, N. J.; WALTMAN, L. Visualizing Bibliometric Networks. In: DING, Y.; ROUSSEAU, R.; WOLFRAM, D. (eds). Measuring scholarly impact: Methods and practice. Cham: Springer, 2014. p. 285–320.
WANG, X.; FANG, Z.; SUN, X. Usage patterns of scholarly articles on web of science: A study on web of science usage count. Scientometrics; v. 109, 917–926, 2016. DOI: 10.1007/s11192-016-2093-0
ZHAO, D.; STROTMANN, A. Evolution of Research Activities and Intellectual Influences in Information Science 1996–2005: Introducing Author Bibliographic-Coupling Analysis. Journal of the American Society for Information Science and Tecnhology, v. 59, 13, 2070-2086, 2008.
ZIPF, A.; MOBASHERI, A.; ROUSELL, A.; HAHMANN, S. Crowdsourcing for individual needs – the case of routing and navigation for mobility-impaired persons. In: CAPINERI, C.; HAKLAY, M.; HUANG, H.; ANTONIOU, V.; KETTUNEN, J.; FRANK, O.; ROSS, P. (eds.). European Handbook of Crowdsourced Geographic Information. London: Ubiquity Press; 2016. p. 325–337.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Tatiane Ferreira Olivatto
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Autores que publicam nesta revista concordam com os seguintes termos:
- Autores mantém os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Licença Creative Commons Attribution BY-NC-SA que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista.
- Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista. A licença adotada enquadra-se no padrão CC-BY-NC-SA.
- Autores têm permissão e são estimulados a publicar e distribuir seu trabalho online (ex.: em repositórios institucionais ou na sua página pessoal) a qualquer ponto antes ou durante o processo editorial, já que isso pode gerar alterações produtivas, bem como aumentar o impacto e a citação do trabalho publicado (Veja O Efeito do Acesso Livre).
How to Cite
Funding data
-
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Grant numbers 001