SURGE – Social Unrest Reconnaissance GazEteer (Demo Paper)

Deepti Joshi, Leen-Kiat Soh, Sudeep Basnet, Ashok K Samal, Regina E Werum, Hariharan Arunachalam, Shawn Ratcliff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social Unrest Reconnaissance Gazetteer (or SURGE) is a Web-based application that provides an open system to visualize and integrate spatio-temporal data about social unrest events with related data layers in South Asia to facilitate data-driven as well as model-based investigations and analyses. Currently, the system displays eight categories of unrest, based primarily on the Global Database of Events, Language and Tone (GDELT) and the Global Terrorism Database (GTD). Users have the ability to select a single day or a range of dates along with the category of unrest they are interested to investigate. The users also have the option to normalize the raw event counts by population density. Additionally, the users can view infrastructure layers that facilitate or hinder the diffusion of unrest events (e.g., collated from an open GIS data-source: OpenStreetMap (www.openstreetmap.org)) and choropleth layers to display various socio-economic indicators (e.g., derived from global surveys and government census data such as the 2011 India census data (cenusindia.gov.in) and IPUMS Terra (data.terrapop.org)). Currently, SURGE displays unrest events for India, Pakistan and Bangladesh as heat map layers in multiple spatial resolutions. Challenges have involved geo-synchronization, data conversions, and displaying multiple layers of dense geospatial datasets. Future capabilities include automatic ingestion of raw data and standardizing levels of unrest using significant predictors.

Original languageEnglish (US)
Title of host publicationGIS
Subtitle of host publicationProceedings of the ACM International Symposium on Advances in Geographic Information Systems
EditorsSiva Ravada, Erik Hoel, Roberto Tamassia, Shawn Newsam, Goce Trajcevski, Goce Trajcevski
PublisherAssociation for Computing Machinery
ISBN (Print)9781450354905
DOIs
StatePublished - Nov 7 2017
Event25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2017 - Redondo Beach, United States
Duration: Nov 7 2017Nov 10 2017

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Volume2017-November

Other

Other25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2017
CountryUnited States
CityRedondo Beach
Period11/7/1711/10/17

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Keywords

  • Geographic Information System
  • Social Unrest
  • South-East Asia
  • Spatio-Temporal Data Analytics

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Computer Science Applications
  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

Cite this

Joshi, D., Soh, L-K., Basnet, S., Samal, A. K., Werum, R. E., Arunachalam, H., & Ratcliff, S. (2017). SURGE – Social Unrest Reconnaissance GazEteer (Demo Paper). In S. Ravada, E. Hoel, R. Tamassia, S. Newsam, G. Trajcevski, & G. Trajcevski (Eds.), GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems [94] (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems; Vol. 2017-November). Association for Computing Machinery. https://doi.org/10.1145/3139958.3140052