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Attribution
ShinCam initially started by the need to better understand and ananlyze some larger camera trap datasets, the TEAM Network and the Marin Wildlife Picture Index. (See below for more information).
The ShinyCam Project is a collaboration between Conservation International (CI) and DataKind San Francisco (DKSF). ShinyCam originated as a project developed at DKSF's August 2016 DataDive. See the DataKind blog post regarding the DataDive for more information. Additional work has been provided by Brian Gerber along with Carrie Tribble and Karin Norman.
ShinyCam is primarily built using the R language and Shiny web framework.
The Tropical Ecology Assessment and Monitoring (TEAM) Network is the first and largest global-scale conservation network on the planet -- essentially an early warning system for life on Earth. It is an ambitious program designed to monitor long-term biodiversity, land cover change, climate, and ecosystem services in tropical forests. It is now one of the most robust datasets on the health of tropical forests in the world, with more than 1,000 camera traps capturing almost 3 million images, ~8 million weather observations, and 70,000 forest trees measurements.
The Marin Wildlife Picture Index Project (MWPIP) is a project that combines statistical analysis of wildlife camera photos with other environmental data to help land managers understand wildlife on California's Mount Tamalpais. With data collected from the cameras, land managers can establish baseline population figures, identify wildlife "hotspots" and crucial corridors for movement, and begin to assess trends in wildlife populations.