SICyR 2025: R course
Image credit: Dr. M. Zambrano-Bigiarini
R Course: Spatiotemporal Data Analysis
On November 4, I taught the course Using R for Spatiotemporal Data Analysis: Application to Precipitation from CR2Met2.5, which was attended by undergraduate and graduate students, as well as public and private sector professionals.

Course Using R for Spatiotemporal Data Analysis: Application to Precipitation from CR2Met2.5
I am an Associate Professor in the Department of Civil Engineering at the University of La Frontera. I hold a PhD in Environmental Engineering from the University of Trento (Italy) and completed postdoctoral training at the European Commission’s Joint Research Centre. I have more than 20 years of experience in water resources research and have previously served as an Associate Researcher at the Center for Climate and Resilience Research (CR)2 and as a member of the Earth Sciences Assessment Group of the Chilean National Research and Development Agency (ANID).
My research lies at the interface of hydrology, data science, and environmental sciences, with a particular focus on the use of gridded datasets and open-source tools to investigate droughts, extreme events, and water-related impacts of global change.
I work across spatial and temporal scales to improve the understanding of catchment-scale hydrological processes and to translate this knowledge into operational modelling, forecasting, and early-warning systems that support robust environmental decision-making.
Please reach out to collaborate 😃