USAMM-Shiny allows users to explore an interactive map of predicted U.S. cattle and swine shipments based on USAMM. Users choose either a county or state of interest and can explore incoming or outgoing shipments. A downloadable summary table provides summarized predictions of the mean number of shipments and range between the focal county/state and those that it ships to or from. Developed using the Shiny package app in R.

USAMM Cattle v1 Shiny Visualization

USAMM Cattle v3 Shiny Visualization

USAMM Swine Shiny Visualization

U.S. Animal Movement Shiny Visualization Literature

Buhnerkempe, M.G., Grear, D.A., Portacci, K., Miller, R.S., Lombard, J., Webb, C.T. 2013. A national-scale picture of U.S. cattle movements obtained from Interstate Certificate of Veterinary Inspection data. Prev. Vet. Med.112: 318-329.

Chang, C.W., J. Cheng, J.J. Allaire, Y. Xie and J. McPherson (2017). shiny: Web Application Framework for R. R package version 1.0.0.

Gorsich, E., A.D. Luis, M.G. Buhnerkempe, D.A. Grear, K. Portacci, R.S. Miller, and C.T. Webb (2016) Mapping U.S. cattle shipment networks: spatial and temporal patterns of trade communities from 2009 to 2011. Preventive Veterinary Medicine, 134: 82-91.

Lindström, T., Grear, D.A., Buhnerkempe, M., Webb, C.T., Miller, R.S., Portacci, K., Wennergren, U. 2013. A Bayesian approach for modeling cattle movements in the United States: scaling up a partially observed network. PLoS ONE.

McKee, C., C. Hallman, C.T. Webb, T. Lindstrom, R.S. Miller, and K. Portacci. 2015. USAMM Shiny Visualization (R package).

R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.