Abstract
Geographic information science and systems (GIS) have undergone rapid growth during the past several decades. This growing trend seems likely to persist into the foreseeable future driven by numerous diverse applications and enabled by steady progress of related technologies. As a geospatial data deluge permeates broad scientific and societal realms, to sustain the trend, however, requires GIS to be innovated based on synergistic integration of data-intensive and spatial approaches enabled by advanced cyberinfrastructure—a rapidly evolving infrastructure of communication, computing, and information technologies. Consequently, cyberGIS has been developed as a fundamentally new cyberinfrastructure and GIS modality comprising a seamless blending of advanced cyberinfrastructure, GIS, and spatial analysis and modeling capabilities and, thus, has enabled scientific advances and shown broad societal impacts while contributing to the advancement of cyberinfrastructure. For example, the U.S. National Science Foundation (NSF) has funded a major multi-institution initiative on cyberGIS software integration for sustained geospatial innovation—arguably the largest investment by NSF on related subjects during the past several years. Therefore, this book represents a timely effort to inform pertinent research communities about opportunities and challenges, roadmaps for research and development, and major progress, trends, and impacts of cyberGIS. The book serves as an authoritative source of information to fill the void of introducing this new, exciting, and growing field.
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References
Anselin L, Rey SJ (2012) Spatial econometrics in an age of cyberGIScience. Int J Geogr Inf Sci 26(12):2211–2226
Buttenfield BP, Stanislawski LV, Brewer CA (2011) Adapting generalization tools to physiographic diversity for the United States national hydrography dataset. Cartogr Geogr Inf Sci 38(3):289–301
Dewberry (2012) Final report of the national enhanced elevation assessment, Appendix H: IT Infrastructure, p 746. http://www.dewberry.com/services/geospatial/national-enhanced-elevation-assessment
Goodchild MF (1992) Geographical information science. Int J Geogr Inf Syst 6(1):31–45
Hu H, Yin D, Liu YY, Terstriep J, Hong X, Wendel J, Wang SÂ (2018) TopoLens: building a cyberGIS community data service for enhancing the usability of high-resolution national topographic datasets. Concurr Comput Pract Exp. https://doi.org/10.1002/cpe.4682
Hu H, Lin T, Wang S, Rodriguez L (2017) A cyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization. Appl Energy 203:26–40
Liu YY, Padmanabhan A, Wang S (2015) CyberGIS Gateway for enabling data-rich geospatial research and education. Concurr Comput Pract Exp 27(2):395–407
Liu YY, Maidment DR, Tarboton DG, Zheng X, Wang S (2018) A cyberGIS integration and computation framework for high-resolution continental-scale flood inundation mapping. J Am Water Resour Assoc. https://doi.org/10.1111/1752-1688.12660
National Research Council (NRC) (2007) Successful response starts with a map: improving geospatial support for disaster management. National Academies Press, Washington, DC
Snyder GI (2012) The 3D elevation program–summary of program direction: U.S. Geological survey fact sheet 2012–3089, US Department of the Interior, US Geological Survey
Tesfa TK, Tarboton DG, Watson DW, Schreuders KAT, Baker ME, Wallace RM (2011) Extraction of hydrological proximity measures from DEMs using parallel processing. Environ Model Softw 26(12):1696–1709
UNISDR (2013) Global assessment report 2013. United Nations Office for Disaster Risk Reduction, Geneva. http://www.preventionweb.net/english/hyogo/gar/2013/en/home/index.html
Usery EL (2013) Center of Excellence for Geospatial Information Science research plan 2013–18: U.S. Geological Survey Open-File Report 2013–1189, US Department of the Interior, US Geological Survey
Wang S (2010) A cyberGIS framework for the synthesis of cyberinfrastructure, GIS, and spatial analysis. Ann Assoc Am Geogr 100(3):535–557
Wang S (2013) CyberGIS: blueprint for integrated and scalable geospatial software ecosystems. Int J Geogr Inf Sci 27(11):2119–2121
Wang S (2016) CyberGIS and spatial data science. GeoJournal 81(6):965–968
Wang S (2017) CyberGIS. In: Richardson D, Castree N, Goodchild MF, Kobayashi AL, Liu W, Marston R (eds) The international encyclopedia of geography: people, the earth, environment, and technology. Wiley-Blackwell and the Association of American Geographers. https://doi.org/10.1002/9781118786352.wbieg0931
Wang S, Armstrong MP (2009) A theoretical approach to the use of cyberinfrastructure in geographical analysis. Int J Geogr Inf Sci 23(2):169–193
Wang S, Liu Y (2009) TeraGrid GIScience Gateway: Bridging cyberinfrastructure and GIScience. Int J Geogr Inf Sci 23(5):631–656
Wang S, Zhu X-G (2008) Coupling cyberinfrastructure and geographic information systems to empower ecological and environmental research. Bioscience 58(2):94–95
Wang S, Armstrong MP, Ni J, Liu Y (2005) GISolve: a Grid-based problem solving environment for computationally intensive geographic information analysis. In: Proceedings of the 14th international symposium on high performance distributed computing (HPDC-14)–challenges of large applications in distributed environments (CLADE) Workshop. Research Triangle Park, North Carolina, USA, July 24–27, 2005, pp 3–12
Wang S, Anselin L, Bhaduri B, Crosby C, Goodchild MF, Liu Y, Nyerges TL (2013) CyberGIS software: a synthetic review and integration roadmap. Int J Geogr Inf Sci 27(11):2122–2145
Wang S, Hu H, Lin T, Liu Y, Padmanabhan A, Soltani K (2014) CyberGIS for data-intensive knowledge discovery. ACM SIGSAPATIL Newslett 6(2):26–33
Wang S, Liu Y, Padmanabhan A (2016) Open cyberGIS software for geospatial research and education in the big data era. SoftwareX 5:1–5
Wright DJ, Wang S (2011) The emergence of spatial cyberinfrastructure. Proc Natl Acad Sci 108(14):5488–5491
Yildirim AA, Tarboton D, Liu Y, Sazib NS, Wang S (2016) Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset. In: Proceedings of XSEDE 2016: diversity, big data, and science at scale. Association for Computing Machinery, vol 17-21-July-2016. https://doi.org/10.1145/2949550.2949582
Yin D, Liu Y, Padmanabhan A, Terstriep J, Rush J, Wang S (2017) A CyberGIS-Jupyter framework for geospatial analytics at scale. In: PEARC 2017-practice and experience in advanced research computing 2017: sustainability, success and impact. Association for Computing Machinery, vol Part F128771. https://doi.org/10.1145/3093338.3093378
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Wang, S., Goodchild, M.F. (2019). CyberGIS for Transforming Geospatial Discovery and Innovation. In: Wang, S., Goodchild, M. (eds) CyberGIS for Geospatial Discovery and Innovation. GeoJournal Library, vol 118. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1531-5_1
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