264 citations · 459 across the 19 of their papers we have counts for
4 papers · 1 filter
Website visits can predict angler presence using machine learning
Julia S. Schmid, Sean Simmons, Mark A. Lewis +2
Understanding and predicting recreational angler effort is important for sustainable fisheries management. However, conventional methods of measuring angler effort, such as surveys…
Analyzing recreational fishing effort -- Gender differences and the impact of Covid-19
Julia S. Schmid, Sean Simmons, Mark S. Poesch +2
Recreational fishing is an important economic driver and provides multiple social benefits. To predict fishing activity, identifying variables related to variation, such as gender…
Key Science Goals for the Next Generation Very Large Array (ngVLA): Update from the ngVLA Science Advisory Council (2024)
David J. Wilner, Brenda C. Matthews, Brett McGuire +32
In 2017, the next generation Very Large Array (ngVLA) Science Advisory Council, together with the international astronomy community, developed a set of five Key Science Goals (KSGs…
Webpage Views as a Proxy for Angler Pressure and Effort: Insights from Bayesian Networks
Azar Taheri Tayebi, Julia S. Schmid, Sean Simmons +3
Reliable angler activity data inform fisheries management. Traditionally, such data are gathered through surveys, but an innovative cost-effective approach involves utilizing onlin…