Understanding the multifaceted geospatial software ecosystem: a survey approach

References

• Anselin, L., 2012. From SpaceStat to CyberGIS: twenty years of spatial data analysis software. International Regional Science Review, 35 (2), 131–157. doi:https://doi.org/10.1177/0160017612438615
   Web of Science ®Google Scholar
• Anselin, L. and Rey, S.J., 2012. Spatial econometrics in an age of CyberGIScience. International Journal of Geographical Information Science, 26 (12), 2211–2226. doi:https://doi.org/10.1080/13658816.2012.664276
   Web of Science ®Google Scholar
• Atkins, D.E., et al., 2003. Revolutionizing Science and Engineering Through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure. Washington, D.C.: National Science Foundation.
   Google Scholar
• Bernard, L., et al., 2005. Towards an SDI research agenda. In: K. Fullerton, ed. 11th EC GI & GIS Workshop ESDI: Setting the Framework, Sardinia, June 2005: Abstracts Handbook. 147–151.
   Google Scholar
• Bernard, L. and Craglia, M., 2005. SDI - From Spatial Data Infrastructure to Service Driven Infrastructure. In: Research Workshop on Cross-Learning Between Spatial Data Infrastructures and Information Infrastructures. Enschede, The Netherlands.
   Google Scholar
• Budhathoki, N.R. and Nedović-Budić, Z., 2007. Expanding the Spatial Data Infrastructure Knowledge Base. In: H. Onsrud, ed. Research and Theory in Advancing Spatial Data Infrastructure Concepts. Redlands, CA: ESRI Press, 7–31.
   Google Scholar
• Budhathoki, N.R., Bruce, B.C., and Nedović-Budić, Z., 2008. Reconceptualizing the role of the user of spatial data infrastructure. GeoJournal, 72, 148–160. doi:https://doi.org/10.1007/s10708-008-9189-x
   Google Scholar
• Coleman, D.J. and McLaughlin, J.D., 1998. Defining global geospatial data infrastructure (GGDI): components, stakeholders and interfaces. Geomatica, 51 (2), 129–143.
   Google Scholar
• Corbin, J. and Strauss, A., 2015. Basics of qualitative research: techniques and procedures for developing grounded theory. 4th ed. Los Angeles: SAGE.
   Google Scholar
• Cutcher-Gershenfeld, J., et al. 2016. Build it, but will they come? A geoscience cyberinfrastructure baseline analysis. Data Science Journal, 15 (8), 1–14. doi:https://doi.org/10.5334/dsj-2016-008
   Google Scholar
• Dangermond, J. and Goodchild, M.F., 2020. Building geospatial infrastructure. Geo-spatial Information Science, 23 (1), 1–9. doi:https://doi.org/10.1080/10095020.2019.1698274
   Web of Science ®Google Scholar
• Finholt, T.A. and Birnholtz, J.P., 2006. If We Build It, Will They Come? The Cultural Challenges of Cyberinfrastructure Development. In: W.S. Bainbridge and M.C. Roco, eds. Managing Nano-Bio-Info-Cogno Innovations: converging Technologies in Society. The Netherlands: Springer, 89–101.
   Google Scholar
• Gahegan, M., 2018. Our GIS is too small. The Canadian Geographer/Le Géographe Canadien, 62 (1), 15–26. doi:https://doi.org/10.1111/cag.12434
   Web of Science ®Google Scholar
• Harvey, F. and Tulloch, D., 2006. Local‐government data sharing: evaluating the foundations of spatial data infrastructures. International Journal of Geographical Information Science, 20 (7), 743–768.
   Web of Science ®Google Scholar
• Kedron, P., et al., 2019. Reproducibility and replicability in geographical analysis. Geographical Analysis. doi:https://doi.org/10.1111/gean.12221
   PubMed Web of Science ®Google Scholar
• Kemp, K.K. and Frank, A.U., 1996. Toward consensus on a European GIS curriculum: the international post-graduate course on GIS. International Journal of Geographical Information Systems, 10 (4), 477–497. doi:https://doi.org/10.1080/02693799608902091
   Web of Science ®Google Scholar
• Kim, Y. and Stanton, J.M., 2013. Institutional and individual influences on Scientists’ data sharing behaviors: a multilevel analysis. In: ASIST 1- 6 November 2013, 2013. Montreal, Quebec, Canada.
   Google Scholar
• Konkol, M., Kray, C., and Pfeiffer, M., 2019. Computational reproducibility in geoscientific papers: insights from a series of studies with geoscientists and a reproduction study. International Journal of Geographical Information Science, 33 (2), 408–429.
   Web of Science ®Google Scholar
• Kumar, V.D. and Alencar, P., 2016. Software engineering for big data projects: domains, methodologies and gaps. In: 2016 IEEE International Conference on Big Data (Big Data). Washington D.C., 2886–2895.
   Google Scholar
• Lee, C.P., Bietz, M.J., and Thayer, A., 2010. Research-driven stakeholders in cyberinfrastructure use and development. In: 2010 International Symposium on Collaborative Technologies and Systems. Chicago, 163–172.
   Google Scholar
• Li, A., et al. 2015. Space-time analysis: concepts, quantitative methods, and future directions. Annals of the Association of American Geographers, 105 (5), 891–914. doi:https://doi.org/10.1080/00045608.2015.1064510
   Google Scholar
• Madhavji, N.H., Miranskyy, A., and Kontogiannis, K., 2015. Big picture of big data software engineering: with example research challenges. In: 2015 IEEE/ACM 1st International Workshop on Big Data Software Engineering. Florence, Italy, 11–14.
   Google Scholar
• Masser, I., 2006. What’s Special about SDI Related Research? International Journal of Spatial Data Infrastructures Research, 1, 14–23.
   Google Scholar
• Masser, I., Rajabifard, A., and Williamson, I., 2008. Spatially enabling governments through SDI implementation. International Journal of Geographical Information Science, 22 (1), 5–20. doi:https://doi.org/10.1080/13658810601177751
   Web of Science ®Google Scholar
• Michener, W.K., et al., 2012. Participatory design of DataONE—enabling cyberinfrastructure for the biological and environmental sciences. Ecological Informatics, 11, 5–15. doi:https://doi.org/10.1016/j.ecoinf.2011.08.007
   Web of Science ®Google Scholar
• Miller, H.J. and Goodchild, M.F., 2016. Data-driven geography. GeoJournal, 80, 449–461. doi:https://doi.org/10.1007/s10708-014-9602-6
   Google Scholar
• Murray, A., 2019. Anticipating the next half‐century of geographical analysis, Geographical Analysis, https://doi.10.1111/gean.12200.
   Google Scholar
• National Research Council, 1991. Research and Development in the National Mapping Division, USGS: trends and Prospects. Washington, DC: The National Academies Press. doi:https://doi.org/10.17226/10986
   Google Scholar
• National Research Council, 1993. Toward a Coordinated Spatial Data Infrastructure for the Nation. Washington, DC: The National Academies Press. doi:https://doi.org/10.17226/2105
   Google Scholar
• National Research Council, 1994. Promoting the National Spatial Data Infrastructure Through Partnerships. Washington, DC: The National Academies Press. doi:https://doi.org/10.17226/4895
   Google Scholar
• National Research Council, 1997. The Future of Spatial Data and Society: summary of a Workshop. Washington, DC: The National Academies Press. doi:https://doi.org/10.17226/5581
   Google Scholar
• Office of Management and Budget, 2002. Coordination of Geographic Information, and Related Spatial Data Activities. OMB Circular A-16. Washington, DC.
   Google Scholar
• Onsrud, H., et al. 2005. The Future of the Spatial Information Infrastructure. In: R. McMaster and E.L. Usery, eds. A Research Agenda for Geographic Information Science. Boca Raton, Florida: CRC Press, 225–255.
   Google Scholar
• Poore, B.S., 2011. Users as essential contributors to spatial cyberinfrastructures. Proceedings of the National Academy of Sciences, 108 (14), 5510–5515. doi:https://doi.org/10.1073/pnas.0907677108
   PubMed Web of Science ®Google Scholar
• Rajabifard, A. and Williamson, I., 2001. Spatial data infrastructures: concept, SDI hierarchy and future directions. In Proceedings of GEOMATICS’80 Conference, Tehran, Iran.
   Google Scholar
• Schade, S., et al. 2020. Geospatial Information Infrastructures. In: H. Guo, M. Goodchild, and A. Annoni, eds. Manual of Digital Earth. Singapore: Springer, 161–190.
   Google Scholar
• Shaw, S.L. and Sui, D., 2018. GIScience for human dynamics research in a changing world. Transactions in GIS, 22 (4), 891–899.
   Web of Science ®Google Scholar
• Shook, E., et al. 2019. Cyber literacy for GIScience: toward formalizing geospatial computing education. The Professional Geographer, 71 (2), 221–238. doi:https://doi.org/10.1080/00330124.2018.1518720
   Web of Science ®Google Scholar
• Stewart, C.A., et al., 2011. Technical report: survey of cyberinfrastructure needs and interests of NSF-funded principal investigators.
   Google Scholar
• Stewart, C.A., et al., 2013. Initial findings from a study of best practices and models for cyberinfrastructure software sustainability. arXiv preprint arXiv:1309.1817.
   Google Scholar
• Stocks, K.I., et al. 2019. Geoscientists’ perspectives on cyberinfrastructure needs: a collection of user scenarios. Data Science Journal, 18 (21), 1–15. doi:https://doi.org/10.5334/dsj-2019-021
   Google Scholar
• Stodden, V., et al. 2015. Enhancing reproducibility for computational methods. Science, 354 (6317), 1240–1241. doi:https://doi.org/10.1126/science.aah6168
   Google Scholar
• Tracy, S.J., 2020. Qualitative research methods: collecting evidence, crafting analysis, communicating impact. 2nd ed. Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Wang, S., 2010. A CyberGIS framework for the synthesis of cyberinfrastructure, GIS, and spatial analysis. Annals of the Association of American Geographers, 100 (3), 535–557. doi:https://doi.org/10.1080/00045601003791243
   Web of Science ®Google Scholar
• Wang, S., 2013. CyberGIS: blueprint for integrated and scalable geospatial software ecosystems. International Journal of Geographical Information Science, 27 (11), 2119–2121. doi:https://doi.org/10.1080/13658816.2013.841318
   Web of Science ®Google Scholar
• Wang, S., 2016. CyberGIS and spatial data science. GeoJournal, 81 (6), 965–968.
   Web of Science ®Google Scholar
• Wang, S. and Goodchild, M.F., 2019. CyberGIS for Geospatial Innovation and Discovery. Dordrecht, Netherlands: Springer. doi:https://doi.org/10.1007/978-94-024-1531-5
   Google Scholar
• Wang, S., Liu, Y., and Padmanabhan, A., 2016. Open cyberGIS software for geospatial research and education in the big data era. SoftwareX, 5, 1–5. doi:https://doi.org/10.1016/j.softx.2015.10.003
   Google Scholar
• Wang, S., Wilkins-Diehr, N.R., and Nyerges, T.L., 2012. CyberGIS—Toward synergistic advancement of cyberinfrastructure and GIScience: a workshop summary. Journal of Spatial Information Science, 4, 125–148.
   Google Scholar
• Wang, S. and Zhu, X.-G., 2008. Coupling cyberinfrastructure and geographic information systems to empower ecological and environmental research. BioScience, 58 (2), 94–95.
   Web of Science ®Google Scholar
• Wright, D.J. and Wang, S., 2011. The emergence of spatial cyberinfrastructure. Proceedings of the National Academy of Sciences, 108 (14), 5488–5491. doi:https://doi.org/10.1073/pnas.1103051108
   PubMed Web of Science ®Google Scholar
• Yang, C., et al. 2010. Geospatial cyberinfrastructure: past, present and future. Computers, Environment and Urban Systems, 34 (4), 264–277. doi:https://doi.org/10.1016/j.compenvurbsys.2010.04.001
   Web of Science ®Google Scholar
• Yuan, M., 2017. 30 years of IJGIS: the changing landscape of geographical information science and the road ahead. International Journal of Geographical Information Science, 31 (3), 425–434.
   Web of Science ®Google Scholar
• Zimmerman, A., 2007. A socio-technical framework for cyberinfrastructure design. In: e-Social Science Conference, 7-9 October 2007, Ann Arbor, MI.
   Google Scholar
• Zimmerman, A. and Finholt, T.A., 2008. Report from the TeraGrid Evaluation Study, Part 1: project Findings. Ann Arbor, MI: Collaboratory for Research on Electronic Work.
   Google Scholar