Efforts to make scientific knowledge open and accessible have provided incredible opportunities to share resources and knowledge. GitHub and other software-sharing platforms have made software and underlying code and algorithms more accessible than ever, and have provided opportunities to apply ideas and methods from one scientific discipline to another.
An example of this is applying movement ecology tools and metrics to human behavior in Park and Protected Area (PPA) settings. Although they are relatively recent to the field of recreation ecology, there are some excellent examples of more complex applications of resource utilization (Olsen et al., 2017) and step selection functions (Sitter et al., 2023) to recreation studies. One tool I have found useful recently is MovingPandas (Graser, 2019) which provides a range of tools to calculate, summarize, aggregate, and generalize movement behavior and develop useful insights. We have been using this tool in the lab with some of our recent GPS studies and have found it to be a powerful tool to process and prepare data as well as to generate visualizations of movement behavior. The example below shows an output from MovingPandas which can help inform recreation management use because patterns of recreation use are patterns of recreation disturbance.
An example of this is applying movement ecology tools and metrics to human behavior in Park and Protected Area (PPA) settings. Although they are relatively recent to the field of recreation ecology, there are some excellent examples of more complex applications of resource utilization (Olsen et al., 2017) and step selection functions (Sitter et al., 2023) to recreation studies. One tool I have found useful recently is MovingPandas (Graser, 2019) which provides a range of tools to calculate, summarize, aggregate, and generalize movement behavior and develop useful insights. We have been using this tool in the lab with some of our recent GPS studies and have found it to be a powerful tool to process and prepare data as well as to generate visualizations of movement behavior. The example below shows an output from MovingPandas which can help inform recreation management use because patterns of recreation use are patterns of recreation disturbance.
