Algorithms for Geospatial Data Analysis

For the July Data Science DC Meetup we're having a themed evening where we'll look at the intersection of data science with mapping and spatial analysis. We will feature two presentations - the first by Anthony Fox from CCRI, who will discuss GeoMesa and how they analyze high-velocity streaming spatio-temporal data. The second speaker is Jason Dalton of Azimuth1, who will discuss using spatial graph analysis to model the US fuel energy infrastructure for the Dept of Energy.

Agenda:

• 6:30pm -- Networking, Empanadas, and Refreshments

• 7:00pm -- Introduction, Announcements

• 7:15pm -- Presentation and Discussion

• 8:30pm -- Data Drinks (Tonic, 2036 G St NW)

Abstracts:

Anthony Fox - In this presentation, Anthony will describe several examples of high-velocity streaming spatio-temporal data. He will highlight challenges faced when dealing with these types of data and some techniques for addressing these challenges. These techniques revolve around indexing, distributed computation, and visualization with the GeoMesa platform.

Anthony is Director of Data Science and System Architecture at Commonwealth Computer Research, Inc. (http://www.ccri.com/), where he specializes in scaling compute intensive statistical algorithms using distributed systems. He is the lead developer on GeoMesa, a LocationTech open-source project that brings OGC compliant spatial support to the Accumulo distributed database. Follow Anthony on Twitter @algoriffic (https://twitter.com/algoriffic).

Jason Dalton - By combining graph and geospatial analytics we describe the flow of oil, gas, and other petroleum products around the country with a high degree of accuracy. These techniques allow us to determine the causes of price spikes, and determine areas that have a weak supply chain and may be particularly vulnerable to future price spikes.

Jason is Founder and CEO of Azimuth1 (http://www.azimuth1.com/). Follow him on Twitter @jasonrdalton (https://twitter.com/jasonrdalton).

Sponsors:

This event is sponsored by the GWU Department of Decision Sciences (http://business.gwu.edu/about-us/departments/decision-sciences/), Statistics.com (http://bit.ly/12YljkP), Elder Research (http://datamininglab.com/), WeddingWire (http://www.weddingwire.com/corp/tech-jobs), Novetta Solutions (http://www.novetta.com/), and Booz Allen Hamilton (https://www.boozallen.com/consulting/strategic-innovation/nextgen-analytics-data-science). (Would your organization like to sponsor too? Please get in touch!)