The management and processing of environmental data is essential to reach solid conclusions on the functioning of the natural environment. This is particularly important as a management and decision-making tool. However, it often proves to be a complex task given the large series of data obtained, their complexity, or the location of field stations. GEA has specialized in the processing of complex data using cutting-edge techniques to model the behavior of our natural environment and associated fauna (García-Vega et al. 2021, 2018), aiming to summarize and understand the functioning of a system simply and, when appropriate, establish adaptive management strategies. Likewise, we have taken a step further in data management by betting on sensor networks that allow us to obtain online data, aiming to manage data in real-time and establish alert systems when necessary (Fuentes-Pérez et al. 2021a, 2021b). Our main lines of work in this field are:
- Development of on-line data management platforms
- Real-time data handling and management
- Modeling of environmental data (physical and biological) using machine learning techniques
- Development of adaptive management strategies for river management
