Abstract
Knowing where you are in space and time promises a deeper understanding of neighbors, ecosystems, and the environment.
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- Ali, R.Y., Gunturi, V.M., Shekhar, S., Eldawy, A., Mokbel, M.F., Kotz, A.J., and Northrop, W.F. Future connected vehicles: Challenges and opportunities for spatiotemporal computing. In Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Seattle, WA, Nov. 3--6). ACM Press, New York, 2015.Google ScholarDigital Library
- Auchincloss, A.H., Gebreab, S.Y., Mair, C., and Roux, A.V.D. A review of spatial methods in epidemiology, 2000--2010. Annual Review of Public Health 33 (2012), 107.Google ScholarCross Ref
- Campbell, J.B. and Wynne, R.H. Introduction to Remote Sensing, Fifth Edition. The Guilford Press, New York, 2011.Google Scholar
- Caron, C., Roche, S., Goyer, D., and Jaton, A. GIScience journals ranking and evaluation: An international Delphi study. Transactions in GIS 12, 3 (2008), 293--321.Google ScholarCross Ref
- De Berg, M., Van Kreveld, M., Overmars, M., and Schwarzkopf, O. Computational Geometry. Springer, Berlin Heidelberg, Germany, 1997. Google ScholarDigital Library
- Devillers, R., Jeansoulin, R., and Goodchild, M.F. Fundamentals of Spatial Data Quality (Geographical Information Systems Series). Wiley-ISTE, New York, 2006. Google ScholarDigital Library
- Dobson, J. and Fisher, P. Geoslavery. Technology and Society Magazine 22, 1 (Spring 2003), 47--52.Google ScholarCross Ref
- Downs, R.M., Stea, D., and Boulding, K.E. Image and Environment: Cognitive Mapping and Spatial Behavior. Aldine Transaction, a division of Transaction Publishers, New Brunswick, NJ, and London, U.K., 2005.Google Scholar
- Esri. Understanding Geodesic Buffering; http://www.esri.com/news/arcuser/0111/geodesic.htmlGoogle Scholar
- Ester, M., Kriegel, H.-P. and Sander, J. Spatial data mining: A database approach. In Advances in Spatial Databases, Volume 1262 of Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, Germany, 1997, 47--66. Google ScholarDigital Library
- Faulkner, M., Olson, M., Chandy, R., Krause, J., Chandy, K., and Krause, A. The next big one: Detecting earthquakes and other rare events from community-based sensors. In Proceedings of the 10th International Conference on Information Processing in Sensor Networks (Chicago, IL, Apr. 12--14). IEEE Computer Society, Washington, D.C., 2011, 13--24.Google Scholar
- Gelfand, A.E., Diggle, P., Guttorp, P., and Fuentes, M. Handbook of Spatial Statistics. Chapman and Hall/CRC Handbooks of Modern Statistical Methods. CRC Press, Boca Raton, FL, 2010.Google Scholar
- Goodchild, M.F. Citizens as sensors: The world of volunteered geography. GeoJournal 69, 4 (Aug. 2007), 211--221.Google ScholarCross Ref
- Gore, A. The digital Earth: Understanding our planet in the 21st century. Australian Surveyor 43, 2 (1998), 89--91.Google ScholarCross Ref
- Jordan, L.J. Flood map delays spur angst for Gulf Coast, but it may be for nothing. Djournal.com (Mar. 26, 2006); http://goo.gl/IIzvzvGoogle Scholar
- Kemp, K.K. Encyclopedia of Geographic Information Science. SAGE Publications, Thousand Oaks, CA, 2007.Google Scholar
- Krause, A., Horvitz, E., Kansal, A., and Zhao, F. Toward community sensing. In Proceedings of the Seventh International Conference on Information Processing in Sensor Networks (St. Louis, MO, Apr. 22--24). IEEE Computer Society, Washington, D.C., 2008, 481--492. Google ScholarDigital Library
- Krumm, J. A survey of computational location privacy. Personal and Ubiquitous Computing 13, 6 (Aug. 2009), 391--399. Google ScholarDigital Library
- Kumar, V., Shekhar, S. and Fagmous, J., Eds. Computing & climate. Computing in Science and Engineering 17, 6 (Nov./Dec. 2015).Google Scholar
- Lovell, J. Left-hand-turn elimination. The New York Times (Dec. 9, 2007).Google Scholar
- Manyika, J., Institute, M.G., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., and Byers, A.H. Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute, 2011; http://goo.gl/BWJPqPGoogle Scholar
- McMaster, R.B. and Usery, E.L. A Research Agenda for Geographic Information Science. CRC Press, Boca Raton, FL, 2004.Google ScholarCross Ref
- National Academies of Sciences, Engineering, and Medicine. IT Roadmap to a Geospatial Future. Report of the Committee on Intersections Between Geospatial Information and Information Technology. The National Academies Press, Washington, D.C., 2003.Google Scholar
- National Academies of Sciences, Engineering, and Medicine. Global Navigation Satellite Systems: Report of a Joint Workshop of the National Academy of Engineering and the Chinese Academy of Engineering. The National Academies Press, Washington, D.C., 2012.Google Scholar
- National Academies of Sciences, Engineering, and Medicine. Priorities for GEOINT Research at the National Geospatial-Intelligence Agency. The National Academies Press, Washington, D.C., 2006.Google Scholar
- National Academies of Sciences, Engineering, and Medicine. Successful Response Starts with a Map: Improving Geospatial Support for Disaster Management. The National Academies Press, Washington, D.C., 2007.Google Scholar
- National Academies of Sciences, Engineering, and Medicine. Figure 3.1: The precision of current geodetic applications as a function of the required time interval. In Precise Geodetic Infrastructure: National Requirements for a Shared Resource. The National Academies Press, Washington, D.C., 2010.Google Scholar
- National Academies of Sciences, Engineering, and Medicine. New Research Directions for the National Geospatial-Intelligence Agency. The National Academies Press, Washington, D.C., 2010.Google Scholar
- National Academies of Sciences, Engineering, and Medicine. Understanding the Changing Planet: Strategic Directions for the Geographical Sciences. The National Academies Press, Washington, D.C., 2010.Google Scholar
- National Academies of Sciences, Engineering, and Medicine. Frontiers in Massive Data Analysis. The National Academies Press, Washington, D.C., 2013.Google Scholar
- National Academies of Sciences, Engineering, and Medicine. Continuity of NASA Earth Observation from Space: A Value Framework (prepublication draft). The National Academies Press, Washington, D.C., 2015; http://www.nap.edu/read/21789/chapter/1Google Scholar
- National Academies of Sciences, Engineering, and Medicine. Land change modeling approaches. In Advancing Land Change Modeling: Opportunities and Research Requirements. The National Academies Press, Washington, D.C., 2014.Google Scholar
- National Academies of Sciences, Engineering, and Medicine: Committee on Human and Environmental Exposure Science in the 21st Century. Exposure Science in the 21st Century: A Vision and a Strategy. The National Academies Press, Washington, D.C., 2012.Google Scholar
- National Academies of Sciences, Engineering, and Medicine: Panel on Confidentiality Issues Arising from the Integration of Remotely Sensed and Self-Identifying Data. Putting People on the Map: Protecting Confidentiality with Linked Social-Spatial Data. The National Academies Press, Washington, D.C., 2007.Google Scholar
- National Science Foundation. Report of the NSF Workshop on Intelligent Systems Research to Support Geosciences and the EarthCube Mission. Arlington, VA, Mar. 2015; http://goo.gl/MyBsQY (workshop report summary http://is-geo.org/report/)Google Scholar
- National Science Foundation. An NSF Workshop to Identify Interdisciplinary Data Science Approaches and Challenges to Enhance Understanding of Interactions of Food Systems with Energy and Water Systems. The National Institute of Food and Agriculture, Washington, D.C., Oct. 2015; http://goo.gl/GCQ2fjGoogle Scholar
- Okolloh, O. Ushahidi, or 'testimony': Web 2.0 tools for crowdsourcing crisis information. Participatory Learning and Action 59, 1 (May 2009), 65--70.Google Scholar
- Open GIS Consortium. Open GIS Simple Features for SQL; http://www.opengis.orgGoogle Scholar
- Parkinson, B.W. and Spilker, J.J. Global Positioning System: Theory and Applications, Volume One. The American Institute of Aeronautics and Astronautics, Reston, VA, 1996.Google Scholar
- Pfoser, D., Tao, Y., Mouratidis, K., Nascimento, M.A., Mobel, M., Shekhar, S., and Huang, Y., Eds. Challenge and Vision Track. In the 12th International Symposium on Spatial and Temporal Databases, Volume 6849 of Lecture Notes on Computer Science (Minneapolis, MN, Aug. 24--26). Springer, Berlin, Heidelberg, Germany, 2011; http://sstd2011.cs.umn.edu/Google Scholar
- Pomfret, K. Latitudes and Attitudes: Zooming In on Geospatial Data, Privacy, and the Law in the Digital Age. Centre for Spatial Law and Policy, Richmond, VA, Mar. 27, 2013; http://www.spatiallaw.com/Uploads/Latitudes_and_Attitudes.pdfGoogle Scholar
- Pomfret, K.D. Geotargeted Alerts: Potential Impact of Privacy Concerns. The National Academy of Sciences, Washington D.C., Feb. 21, 2013.Google Scholar
- Regalado, A. New Google Earth Engine. ScienceInsider (Dec. 3, 2010); http://news.sciencemag.org/technology/2010/12/new-google-earth-engineGoogle Scholar
- Richmond, R. Digital help for Haiti. The New York Times (Jan. 27 2010).Google Scholar
- Ripley, B.D. Spatial Statistics, Volume 575. John Wiley & Sons, Hoboken, NJ, 2005.Google Scholar
- Samet, H. The Design and Analysis of Spatial Data Structures. Addison-Wesley Series in Computer Science, Reading, MA, 1989. Google ScholarDigital Library
- Samet, H. Foundations of Multidimensional and Metric Data Structures. The Morgan Kaufmann Series in Computer Graphics, San Francisco, CA, 2006. Google ScholarDigital Library
- Schiller, J. and Voisard, A. Location-Based Services. Elsevier, San Francisco, CA, 2004. Google ScholarDigital Library
- Sellis, T. et al., Eds. Spatio-Temporal Databases: The CHOROCHRONOS Approach. Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany, 2003.Google Scholar
- Shekhar, S. and Chawla, S. Spatial Databases: A Tour. Prentice Hall, Upper Saddle River, NJ, 2003.Google Scholar
- Shekhar, S., Evans, M.R., Kang, J.M., and Mohan, P. Identifying patterns in spatial information: A survey of methods. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1, 3 (May/June 2011), 193--214.Google ScholarCross Ref
- Shekhar, S., Feiner, S., and Aref, W. From GPS and virtual globes to spatial computing---2020. GeoInformatica 19, 4 (Oct. 2015), 799--832. Google ScholarDigital Library
- Shekhar, S. and Xiong, H. Encyclopedia of GIS. Springer, New York, 2008. Google ScholarDigital Library
- Snow, J. On the Mode of Communication of Cholera. John Churchill, London, England, 1855.Google Scholar
- Sobel, D. Longitude. Walker Books, London, U.K., 2010.Google Scholar
- U.S. EPA Office of Air and Radiation. The Inside Story: A Guide to Indoor Air Quality. Technical Report EPA 402-K-93-007. U.S. Environmental Protection Agency, Washington, D.C.; http://goo.gl/RkZUBUGoogle Scholar
- Uttal, D.H. and Cohen, C.A. Spatial thinking and STEM education: When, why, and how. Psychology of Learning and Motivation 57, 2 (2012), 147--181.Google Scholar
Index Terms
- Spatial computing
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