15 Putting 200 Million People “on the Map”: Evolving Methods …
185
“data readiness”—the ability of an organization to utilize data in response operations
for situation awareness, planning, implementation, monitoring, and reporting.
As the Missing Maps project moves forward, the American Red Cross and its
partner organizations will continue to evaluate their methods and tools for mapping,
evolving new tools and engagement strategies to address the challenges experienced
along the way. By mapping vulnerable communities, humanitarians are better able to
share better analysis of hazards, mitigations, and response capacity in communities,
enabling stronger disaster response efforts, and program planning in the future.
References
Cassano, J. (2014, October 22). Inside the crowdsourced map project that is helping contain the
Ebola epidemic. Fast Co. Labs. Retrieved from: http://www.fastcolabs.com/3037350/elasticity/
inside-the-crowdsourced-map-project-that-is-helping-contain-the-ebola-epidemic.
Ciepłuch, B., Jacob, R., Mooney, P., & Winstanley, A. (2010). Comparison of the accuracy of
OpenStreetMap for Ireland with Google Maps and Bing Maps. In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental
Sciences, July 20–23rd, 2010. Leicester: University of Leicester.
Facebook Connectivity Lab and Center for International Earth Science Information Network
(CIESIN), Columbia University. (2016). High resolution settlement layer (HRSL). Retrieved
November 6, 2017 from: https://ciesin.columbia.edu/data/hrsl/.
Forghani, M., & Delavar, M. R. (2014). A quality study of the OpenStreetMap dataset for Tehran.
ISPRS International Journal of Geo-Information, 3(2), 750–763.
Girres, J. F., & Touya, G. (2010). Quality assessment of the French OpenStreetMap dataset. Transactions in GIS, 14(4), 435–459.
Goodchild, M. F. (2007). Citizens as sensors: the world of volunteered geography. GeoJournal,
69(4), 211–221.
Goodchild, M. F., & Glennon, J. A. (2010). Crowdsourcing geographic information for disaster
response: a research frontier. International Journal of Digital Earth, 3(3), 231–241.
Hagen, E. (2011). Mapping Change: Community Information Empowerment in Kibera (Innovations
Case Narrative: Map Kibera). Innovations, 6(1), 69–94.
Haklay, M. (2010). How good is volunteered geographical information? A comparative study of
OpenStreetMap and Ordnance Survey datasets. Environment and Planning B: Planning and
Design, 37(4), 682–703.
Heinzelman, J., & Waters, C. (2010). Crowdsourcing crisis information in disaster-affected Haiti.
Washington, DC: US Institute of Peace.
Howe, J. (2008). Crowdsourcing: Why the power of the crowd is driving the future of business. New
York: McGraw-Hill.
Neis, P., & Zielstra, D. (2014). Recent developments and future trends in volunteered geographic
information research: The case of OpenStreetMap. Future Internet, 6(1), 76–106.
OpenStreetMap Contributors. (2016). Wiki: Stats. Retrieved January 13, 2016 from: http://wiki.
openstreetmap.org/wiki/Stats.
Palen, L., Soden, R., Anderson, T. J., & Barrenechea, M. (2015, April). Success & scale in a
data-producing organization: the socio-technical evolution of OpenStreetMap in response to
Humanitarian events. In Proceedings of the 33rd Annual ACM Conference on Human Factors in
Computing Systems (pp. 4113–4122). New York: ACM.
Sneed, A. (2015, May 8). The open source maps that make rescues in Nepal possible. Wired. Retrieved from: http://www.wired.com/2015/05/the-open-source-maps-that-maderescues-in-nepal-possible/.
185
“data readiness”—the ability of an organization to utilize data in response operations
for situation awareness, planning, implementation, monitoring, and reporting.
As the Missing Maps project moves forward, the American Red Cross and its
partner organizations will continue to evaluate their methods and tools for mapping,
evolving new tools and engagement strategies to address the challenges experienced
along the way. By mapping vulnerable communities, humanitarians are better able to
share better analysis of hazards, mitigations, and response capacity in communities,
enabling stronger disaster response efforts, and program planning in the future.
References
Cassano, J. (2014, October 22). Inside the crowdsourced map project that is helping contain the
Ebola epidemic. Fast Co. Labs. Retrieved from: http://www.fastcolabs.com/3037350/elasticity/
inside-the-crowdsourced-map-project-that-is-helping-contain-the-ebola-epidemic.
Ciepłuch, B., Jacob, R., Mooney, P., & Winstanley, A. (2010). Comparison of the accuracy of
OpenStreetMap for Ireland with Google Maps and Bing Maps. In Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental
Sciences, July 20–23rd, 2010. Leicester: University of Leicester.
Facebook Connectivity Lab and Center for International Earth Science Information Network
(CIESIN), Columbia University. (2016). High resolution settlement layer (HRSL). Retrieved
November 6, 2017 from: https://ciesin.columbia.edu/data/hrsl/.
Forghani, M., & Delavar, M. R. (2014). A quality study of the OpenStreetMap dataset for Tehran.
ISPRS International Journal of Geo-Information, 3(2), 750–763.
Girres, J. F., & Touya, G. (2010). Quality assessment of the French OpenStreetMap dataset. Transactions in GIS, 14(4), 435–459.
Goodchild, M. F. (2007). Citizens as sensors: the world of volunteered geography. GeoJournal,
69(4), 211–221.
Goodchild, M. F., & Glennon, J. A. (2010). Crowdsourcing geographic information for disaster
response: a research frontier. International Journal of Digital Earth, 3(3), 231–241.
Hagen, E. (2011). Mapping Change: Community Information Empowerment in Kibera (Innovations
Case Narrative: Map Kibera). Innovations, 6(1), 69–94.
Haklay, M. (2010). How good is volunteered geographical information? A comparative study of
OpenStreetMap and Ordnance Survey datasets. Environment and Planning B: Planning and
Design, 37(4), 682–703.
Heinzelman, J., & Waters, C. (2010). Crowdsourcing crisis information in disaster-affected Haiti.
Washington, DC: US Institute of Peace.
Howe, J. (2008). Crowdsourcing: Why the power of the crowd is driving the future of business. New
York: McGraw-Hill.
Neis, P., & Zielstra, D. (2014). Recent developments and future trends in volunteered geographic
information research: The case of OpenStreetMap. Future Internet, 6(1), 76–106.
OpenStreetMap Contributors. (2016). Wiki: Stats. Retrieved January 13, 2016 from: http://wiki.
openstreetmap.org/wiki/Stats.
Palen, L., Soden, R., Anderson, T. J., & Barrenechea, M. (2015, April). Success & scale in a
data-producing organization: the socio-technical evolution of OpenStreetMap in response to
Humanitarian events. In Proceedings of the 33rd Annual ACM Conference on Human Factors in
Computing Systems (pp. 4113–4122). New York: ACM.
Sneed, A. (2015, May 8). The open source maps that make rescues in Nepal possible. Wired. Retrieved from: http://www.wired.com/2015/05/the-open-source-maps-that-maderescues-in-nepal-possible/.