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Mashing up Geographic Information for Emergency Response—An Earthquake Prototype

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50656#.VEh601fHRK0

Important information pertaining to emergencies and responses to the emergencies is often distributed across numerous Internet sites. In the event of a disaster like an earthquake, rapid access to such information is critical. At such moments the general public usually has a hard time navigating through numerous sites to retrieve and integrate information, and this may severely affect our capability to make critical decisions in a timely manner. Common earthquake mashups often lack relevant information like locations of first responders and routing to important facilities (e.g. hospitals and fire stations) which could save important time and lives. To address the challenges, we developed an Earthquake Information Mashup prototype. This prototype demonstrates a mashup approach to providing a Web visualization of real-time earthquake monitoring and complementary information, such as traffic conditions, the location of important facilities and routing to them. It also offers users the ability to communicate local condition. Users are thus able to better integrate information from various near real-time sources, obtain better situational awareness, and make smarter informed critical decisions.
Cite this paper
Dias, S. , Yang, C. , Stefanidis, A. and Rice, M. (2014) Mashing up Geographic Information for Emergency Response—An Earthquake Prototype. Journal of Geographic Information System, 6, 533-547. doi: 10.4236/jgis.2014.65044. 
 

[1] Cutter, S.L. (2003) GI Science, Disasters, and Emergency Management. Transactions in GIS, 7, 439-446. http://dx.doi.org/10.1111/1467-9671.00157
[2] Nolen-Hoeksema, S. and Morrow, J. (1991) A Prospective Study of Depression and Posttraumatic Stress Symptoms after a Natural Disaster: The 1989 Loma Prieta Earthquake. Journal of Personality and Social Psychology, 61, 115-121. http://dx.doi.org/10.1037/0022-3514.61.1.115
[3] Hafner, K. and Lyon, M. (1999) Where Wizards Stay up Late: The Origins of The Internet. Simon and Schuster.
[4] Crooks, A., Croitoru, A., Stefanidis, A. and Radzikowski, J. (2013) #Earthquake: Twitter as a Distributed Sensor System. Transactions in GIS, 17, 124-147. http://dx.doi.org/10.1111/j.1467-9671.2012.01359.x
[5] Live Earthquake (2013) Live Earthquake Mashup. http://www.oe-files.de/gmaps/eqmashup.html
[6] Stefanidis, A., Crooks, A. and Radzikowski, J. (2013) Harvesting Ambient Geospatial Information from Social Media Feeds. GeoJournal, 78, 319-338. http://dx.doi.org/10.1007/s10708-011-9438-2
[7] Zook, M., Graham, M., Shelton, T. and Gorman, S. (2010) Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake. World Medical & Health Policy, 2, 7-33. http://dx.doi.org/10.2202/1948-4682.1069
[8] Vieweg, S., Hughes, A.L., Starbird, K. and Palen, L. (2010) Microblogging during Two Natural Hazards Events: What Twitter May Contribute to Situational Awareness. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI’10, Atlanta, 10-15 April 2010, 1079-1088.
http://doi.acm.org/10.1145/1753326.1753486
[9] Goodchild, M.F. and Glennon, J.A. (2010) Crowdsourcing Geographic Information for Disaster Response: A Research Frontier. International Journal of Digital Earth, 3, 231-241.
http://dx.doi.org/10.1080/17538941003759255
[10] Slocum, T.A. (2009) Thematic Cartography and Geovisualization. Pearson Prentice Hall, Upper Saddle River.
[11] FEMA, H.-M. (2013) Hazus | FEMA.gov. http://www.fema.gov/hazus
[12] Petersen, J.F., Sack, D.I. and Gabler, R.E. (2011) Physical Geography. 10th Edition, Cengage Learning.
[13] Wald, D.J., Quitoriano, V., Dengler, L.A. and Dewey, J.W. (1999) Utilization of the Internet for Rapid Community Intensity Maps. Seismological Research Letters, 70, 680-697.
http://dx.doi.org/10.1785/gssrl.70.6.680
[14] Longley, P. (2005) Geographic Information Systems and Science. John Wiley & Sons, Hoboken.
[15] Johnson, R. (2011) Russ Johnson Talks Esri and All Things GIS.
http://www.emergencymgmt.com/disaster/Russ-Johnson-Talks-Esri-GIS.html?page=2&
[16] O’Reilly, T. (2005) What Is Web 2.0: O’Reilly Media. http://oreilly.com/pub/a/Web2/archive/what-is-Web-20.html?page=1
[17] Kraak, M.J. (2007) Geovisualization and Visual Analytics. Cartographica: The International Journal for Geographic Information and Geovisualization, 42, 115-116. http://dx.doi.org/10.3138/carto.42.2.115
[18] Sun, M., Li, J., Yang, C., Schmidt, G.A., Bambacus, M., Cahalan, R., Huang, Q., Xu, C., Noble, E.U. and Li, Z. (2012) A Web-Based Geovisual Analytical System for Climate Studies. Future Internet, 4, 1069-1085. http://dx.doi.org/10.3390/fi4041069
[19] Fu, P. and Sun, J. (2011) WebGIS: Principles and Applications. ESRI Press, Redlands.
[20] Goodchild, M.F. (2007) Citizens as Sensors: The World of Volunteered Geography. GeoJournal, 69, 211-221. http://dx.doi.org/10.1007/s10708-007-9111-y
[21] Yang, C., Fu, P., Goodchild, M.F. and Xu, C. (2014) Integrating GIScience Applications through Mashup. CyberGIS, in press.
[22] Batty, M., Hudson-Smith, A., Milton, R. and Crooks, A. (2010) Map Mashups, Web 2.0 and the GIS Revolution. Annals of GIS, 16, 1-13. http://dx.doi.org/10.1080/19475681003700831
[23] Butler, D. (2006) Mashups Mix Data into Global Service. Nature, 439, 6-7.
http://dx.doi.org/10.1038/439006a
[24] Liu, S.B., Palen, L., Sutton, J., Hughes, A.L. and Vieweg, S. (2008) In Search of the Bigger Picture: The Emergent Role of On-Line Photo Sharing in Times of Disaster. Proceedings of the Information Systems for Crisis Response and Management Conference (ISCRAM).
http://works.bepress.com/vieweg/11
[25] Maceachren, A.M. and Brewer, I. (2004) Developing a Conceptual Framework for Visually-Enabled Geocollaboration. International Journal of Geographical Information Science, 18, 1-34.
http://dx.doi.org/10.1080/13658810310001596094
[26] MacEachren, A.M., Gahegan, M., Pike, W., Brewer, I., Cai, G., Lengerich, E. and Hardistry, F. (2004) Geovisualization for Knowledge Construction and Decision Support. IEEE Computer Graphics and Applications, 24, 13-17. http://dx.doi.org/10.1109/MCG.2004.1255801
[27] Paulson, L.D. (2005) Building Rich Web Applications with Ajax. Computer, 38, 14-17.
http://dx.doi.org/10.1109/MC.2005.330
[28] Gui, Z., Yang, C., Xia, J., Li, J., Rezgui, A., Sun, M., Xu, Y. and Fay, D. (2013) A Visualization-Enhanced Graphical User Interface for Geospatial Resource Discovery. Annals of GIS, 19, 109-121.
http://dx.doi.org/10.1080/19475683.2013.782467
[29] USGS Earthquake, Ha. P. (2013) 1 Day, Magnitude 2.5+ Worldwide.
http://earthquake.usgs.gov/earthquakes/map/
[30] USGS, Live Feeds (2013) Real-Time Feeds & Notifications.
http://earthquake.usgs.gov/earthquakes/feed/v1.0/
[31] RSOE, E. (2013) RSOE EDIS: Emergency and Disaster Information Service.
http://hisz.rsoe.hu/alertmap/index2.php?area=usa
[32] IRIS Earthquake B. (2013) IRIS Earthquake Browser. http://www.iris.edu/ieb/
[33] REV, E.V. (2013) REV: Earthquake View. http://rev.seis.sc.edu/earthquakes.html?view=contig_us
[34] ESRI, P. I. M. (2013) Earthquakes. http://tmappsevents.esri.com/Website/earthquake-responsive/
[35] Google (2013) Too Many Markers! Google Maps API—Google Developers.
https://developers.google.com/maps/articles/toomanymarkers
[36] Dojo (2013) Unbeatable JavaScript Tools—The Dojo Toolkit. http://dojotoolkit.org/
[37] Putz, S. (1994) Interactive Information Services Using World-Wide Web Hypertext. Computer Networks and ISDN Systems, 27, 273-280. http://dx.doi.org/10.1016/0169-7552(94)90141-4
[38] Yang, C., Wong, D.W., Yang, R., Kafatos, M. and Li, Q. (2005) Performance-Improving Techniques in Web-Based GIS. International Journal of Geographical Information Science, 19, 319-342.
http://dx.doi.org/10.1080/13658810412331280202
[39] Google Maps (2013) Getting Started: Google Maps JavaScript API v3—Google Developers.
https://developers.google.com/maps/documentation/javascript/tutorial
[40] Google Traffic API (2013) Traffic Layer—Google Maps JavaScript API v3—Google Developers.
https://developers.google.com/maps/documentation/javascript/examples/layer-traffic
[41] Google Directions (2013) The Google Directions API: Google Maps API Web Services—Google Developers. https://developers.google.com/maps/documentation/directions/
[42] Murphy, G.C., Kersten, M. and Findlater, L. (2006) How Are Java Software Developers Using the Elipse IDE? IEEE Software, 23, 76-83. http://dx.doi.org/10.1109/MS.2006.105
[43] MYSQL (2013) MySQL?: The World’s Most Popular Open Source Database. http://www.mysql.com/
[44] Amazon, EC2. (2013) AWS | Amazon Elastic Compute Cloud (EC2)—Scalable Cloud Servers.
http://aws.amazon.com/ec2/
[45] Rice, M.T., Aburizaiza, A.O., Jacobson, R.D., Shore, B.M. and Paez, F.I. (2012) Supporting Accessibility for Blind and Vision-Impaired People with a Localized Gazetteer and Open Source Geotechnology. Transactions in GIS, 16, 177-190. http://dx.doi.org/10.1111/j.1467-9671.2012.01318.x
[46] MacEachren, A.M. (2004) How Maps Work: Representation, Visualization, and Design. Guilford Press, New York.
[47] Goodchild, M. and Li, L. (2012) Assuring the Quality of Volunteered Geographic Information. Spatial Statistics, 1, 110-120. http://dx.doi.org/10.1016/j.spasta.2012.03.002
[48] Girres, J. and Touya, G. (2010) Quality Assessment of the French OpenStreetMap Dataset. Transactions in GIS, 14, 435-459. http://dx.doi.org/10.1111/j.1467-9671.2010.01203.x
[49] Haklay, M. (2010) How Good Is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets. Environment and Planning B: Planning & Design, 37, 682-703. http://dx.doi.org/10.1068/b35097
[50] Rice, M., Paez, F., Mulhollen, A., Shore, B. and Caldwell, D. (2012) Crowdsourced Geospatial Data: A Report on the Emerging Phenomena of Crowdsourced and User-Generated Geospatial Data. Annual. George Mason University, Fairfax. http://www.dtic.mil/dtic/tr/fulltext/u2/a576607.pdf
[51] Li, Z., Yang, C.P., Wu, H., Li, W. and Miao, L. (2011) An Optimized Framework for Seamlessly Integrating OGC Web Services to Support Geospatial Sciences. International Journal of Geographical Information Science, 25, 595-613. http://dx.doi.org/10.1080/13658816.2010.484811
[52] Yang, C., Xu, Y. and Nebert, D. (2013) Redefining the Possibility of Digital Earth and Geosciences with Spatial Cloud Computing. International Journal of Digital Earth, 6, 297-312.
http://dx.doi.org/10.1080/17538947.2013.769783            eww141023lx
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