Mobile Data Collection and Analysis in Conservation

Nickolas M. Wergeles, Charles Shang, Zeshan Peng, Haidong Wang, Joel Sartwell, Tom Treiman, Jeff Beringer, Jerrold L. Belant, Joshua Millspaugh, Jon T. McRoberts, Yi Shang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Mobile computing and big data analytics have great potential for improving efficiency, productivity, and knowledge discovery in conservation tasks. This paper presents some recent development of mobile computing and data analysis systems for the Missouri Department of Conservation (MDC), including a mobile data collection system, an improved bear tracking website, and new analytics results obtained from real Missouri bear and deer GPS trajectories. The mobile data collection system using Android tablets is developed for surveying the usage and status of conservation areas. The new bear tracking website is developed to be mobile friendly and can dynamically present information of tracked bears. Lastly, for analyzing real GPS trajectories obtained from Missouri bears and deer, a density-based spatial and temporal clustering method is developed for identifying stay regions in trajectories of low sampling rate GPS points. Using real world data, interesting movement patterns of a large number of bears and white-tailed deer have been obtained, therefore advancing a step in achieving a better understanding of the behaviors of various types of animals in their natural environments.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Smart Computing, SMARTCOMP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509008988
StatePublished - Jun 28 2016
Event2nd IEEE International Conference on Smart Computing, SMARTCOMP 2016 - St. Louis, United States
Duration: May 18 2016May 20 2016

Publication series

Name2016 IEEE International Conference on Smart Computing, SMARTCOMP 2016


Conference2nd IEEE International Conference on Smart Computing, SMARTCOMP 2016
Country/TerritoryUnited States
CitySt. Louis


  • Bear and Deer Tracking
  • Data Analytics
  • Mobile Data Collection
  • Trajectory Analysis
  • Wildlife Conservation


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