Geomatics in the Era of Citizen Science
Conflicts of Interest
References
- El-Sheimy, N. Geomatics—An Open Access Journal. Geomatics 2021, 1, 1–2. [Google Scholar] [CrossRef]
- Silvertown, J. A new dawn for citizen science. Trends Ecol. Evol. 2009, 24, 467–471. [Google Scholar] [CrossRef] [PubMed]
- Sullivan, B.L.; Aycrigg, J.L.; Barry, J.H.; Bonney, R.E.; Bruns, N.; Cooper, C.B.; Damoulas, T.; Dhondt, A.A.; Dietterich, T.; Farnsworth, A.; et al. The eBird enterprise: An integrated approach to development and application of citizen science. Biol. Conserv. 2014, 169, 31–40. [Google Scholar] [CrossRef]
- Chiaravalloti, R.M.; Skarlatidou, A.; Hoyte, S.; Badia, M.M.; Haklay, M.; Lewis, J. Extreme citizen science: Lessons learned from initiatives around the globe. Conserv. Sci. Pract. 2022, 4, e577. [Google Scholar] [CrossRef]
- Lee, T.; Quinn, M.S.; Duke, D. Citizen, Science, Highways, and Wildlife: Using a Web-based GIS to Engage Citizens in Collecting Wildlife Information. Ecol. Soc. 2006, 11, 1–13. [Google Scholar] [CrossRef] [Green Version]
- Haklay, M. Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation. In Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice; Sui, D., Elwood, S., Goodchild, M., Eds.; Springer: Dordrecht, The Netherlands, 2013; pp. 105–122. ISBN 9789400745872. [Google Scholar] [CrossRef]
- Crocker, E.; Gurung, K.; Calvert, J.; Nelson, C.D.; Yang, J. Integrating GIS, Remote Sensing, and Citizen Science to Map Oak Decline Risk across the Daniel Boone National Forest. Remote Sens. 2023, 15, 2250. [Google Scholar] [CrossRef]
- Lotfian, M.; Ingensand, J.; Claramunt, C. Towards a multidimensional interaction framework for promoting public engagement in citizen science projects. In Proceedings of the 12th International Conference on Geographic Information Science, Leeds, UK, 12–15 September 2023. [Google Scholar]
- Chen, M.; Claramunt, C.; Çöltekin, A.; Liu, X.; Peng, P.; Robinson, A.C.; Wang, D.; Strobl, J.; Wilson, J.P.; Batty, M.; et al. Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges. Earth-Sci. Rev. 2023, 241, 104438. [Google Scholar] [CrossRef]
- Brovelli, M.A.; Celino, I.; Fiano, A.; Molinari, M.E.; Venkatachalam, V. A crowdsourcing-based game for land cover validation. Appl. Geomat. 2018, 10, 1–11. [Google Scholar] [CrossRef]
- Franzen, M.; Kloetzer, L.; Ponti, M.; Trojan, J.; Vicens, J. Machine Learning in Citizen Science: Promises and Implications. In The Science of Citizen Science; Springer: Cham, Switzerland, 2021; pp. 183–198. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Claramunt, C.; Lotfian, M. Geomatics in the Era of Citizen Science. Geomatics 2023, 3, 364-366. https://doi.org/10.3390/geomatics3020020
Claramunt C, Lotfian M. Geomatics in the Era of Citizen Science. Geomatics. 2023; 3(2):364-366. https://doi.org/10.3390/geomatics3020020
Chicago/Turabian StyleClaramunt, Christophe, and Maryam Lotfian. 2023. "Geomatics in the Era of Citizen Science" Geomatics 3, no. 2: 364-366. https://doi.org/10.3390/geomatics3020020