Filtering UGC Maps
I read a quote this morning about which summed up the power of crowd-sourced maps:
“While (the mapping of the Haiti Relief Efforts was) not without problem, this effort nevertheless represents a remarkable example of the power of crowdsourced online mapping and the potential for new avenues of interaction between physically distant places.“
The map below (created by the Louisiana Bucket Brigade) illustrates the recent Gulf Oil Spill. This map is maintained by a concerned populace, and enables them to effectively illustrate damage done to their community. The most powerful aspect of the map is that it allows users to digest and filter information rapidly. These filters enable users to examine local incidents, examine particulars of the event (oil slicks vs. bird deaths), or view time-specific information (recent events).


UGC maps are an increasingly powerful tool that help us understand and analyze event, communities, and society. Much as Google’s analysis of user search terms has helped the CDC understand the spread of endemic diseases, UGC maps present a more complete picture of an event.
One of the strongest indicators of the power of UGC maps is the rapid, widespread, and universal adoption of this technology. UGC maps have been used to organize relief efforts in Haiti, monitor voting procedures in Africa and India, and record violence in Gaza. Since a large portion of the global population can already contribute to these maps, the framework is in place for this avenue of data dissemination to expand and improve.
Do you have hesitations regarding UGC maps?
Have you helped to construct a UGC map? Why?
How else would you want to filter the data from the oil map?
As always, we are curious to hear your thoughts.
The entire article that the opening quoting references can be downloaded
here.
The Oil Spill Map was created by the Oil Spill Bucket Brigade.
More amazing UGC maps can be found at Ushahidi.com.
- Andrew




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