Big Boulder: Adding the Geo-Spatial Layer to Social Data with ESRI

An interview with ESRI’s S.J. Camarata and Myles Sutherland about adding the geo-spatial layer to social data.

ESRI on Geospatial Data at Big BoulderWhile the number of geotagged tweets are small, when people use social media there is actually a geo-location indicator somewhere in the content. At the first Where 2.0, 80% of web content was rooted in geo if you actually culled the content. That can mean that they indicated a restaurant location or some other geo indicator in the content. People refer to places via names, addresses and directions in many documents but this isn’t structured location data. ESRI helps do geo-location data based on the inference of text.

Another aspect where geolocation can matter is planning for new locations if you’re a brick-and-mortar establishment. For example, a company such as Starbucks with a real estate planning team does a lot of demographic analyzation on opening a new store. Another interesting aspect would be to add an overlay of social data to help understand consumer behavior.

At the first Where 2.0, 80% of web content was rooted in geo-somehow if you actually culled the content, it was rooted in something geophysical. Any corporate database out there has some geolocation associated with it. If you look at all these disparate data sets companies have, the key thing that ties it together is geography of the data set. It becomes the common link. Commercial (Fortune 1,000) are ESRI’s fastest growing aspect.

Recently, ESRI started switching to a cloud-based platform making it easier to take GIS information and integrate it with different data sets. With ESRI being in the cloud, whether you’re a large company or a single developer, there is something for everybody.

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