Summer Course: Next Generation Data Management in Movement Ecology
The advancement of a movement ecology theoretical framework has been paralleled by technological progress that allows ecologists to obtain a huge amount and diversity of empirical animal movement data sets. In addition to the increasing spatial and temporal resolution and size of data sets available from tagging technology, locations of animals come with complex associated information related to the environmental context, such as habitat types and vegetation indexes based on remote sensing, population density, weather. This fast-growing process must be matched by proper procedures to manage and integrate animal movement data sets, thus filling leaving the gap between the acquisition of data and the overarching scientific questions. This summer school is designed to support this process: what to do with these data? How to handle, manage, store and retrieve them and how to eventually feed them to analysis tools?
The course is organized in two modules. In the first module (3 days), participants are exposed to basis of spatial databases and SQL. The second module (5 days) is focused on the specific data management requirements of wildlife tracking data. The second module is further divided in three sections: practical lessons to use spatial database for wildlife tracking data management; practical and theoretical lessons to introduce R in connection with the database as tool for data analysis; theoretical lessons to explore general topics of interest in tracking data management (such as use of remote sensing data, concept of landscape variability, dissemination of information on the web and data sharing) and examples of existing e-infrastructure.