Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/25702
Title: Social and political event data to support Army requirements : volume 1
Authors: Perkins, Timothy K.
Wood, Colin D.
Dos Santos, Raimundo F.
Meyer, William D.
Garfinkle, Noah W.
Enscore, Susan I.
Selig, Lucas A.
Calfas, George W.
Wang, Xue
Keywords: Geospatial data
Geographic information systems
Cities and towns
Situational awareness
Military planning
Military bases
Violent Events Socio-Cultural Analysis (VESCA)
Publisher: Construction Engineering Research Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC/CERL;TR-17-40 Volume 1
Abstract: Military success requires applying judgement and decision making in a high-tempo atmosphere, based on available information. Geographic data at the city level is not enough spatial fidelity for tactical-level analyses. Violent Events Socio-Cultural Analysis (VESCA) work enables an analyst to evaluate and integrate multiple data sources, work with enhanced event data spatial resolution, and analyze and/or visualize the data to produce mission-relevant information. Hand-coded datasets can be more precise, but they require added time and labor to produce, have a significant lag between last observation and present day, are produced with varying schemas, and often duplicate events across datasets. This report includes back-ground regarding event data sources; study of protests, demonstrations, and rallies; and relevant analytical methods. It describes doctrine regarding civil considerations, sociocultural analysis, and contingency basing to present how event data can be transformed from its original form and interpreted to support doctrinal analysis. The report also describes enhancing event data through geoparsing and through harmonization processes and tools to align datasets to a common schema and identify duplicate entries. Finally, the report presents how data may be analyzed and processed for mission-relevant results. The VESCA team’s work yielded an event data harmonization prototype and recommendations for refinement.
URI: http://hdl.handle.net/11681/25702
http://dx.doi.org/10.21079/11681/25702
Appears in Collections:Technical Report

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