R has become an essential tool in oceanography and marine ecology. For instance, R is specifically used to read, process and represent in situ oceanographic data and to manage satellite data in order to produce high temporal and spatial resolution maps useful to synoptically explore and monitoring vast areas of the world oceans. In this post we briefly describe a practical use of R in conjunction with satellite data to identify marine bioregions of the Labrador Sea with different patters in the phytoplankton seasonal cycle.
I am currently employed as a PhD candidate at the University of Quebec. My work is interdisciplinary as it encompasses various biological and physical aspects of marine ecology. The focus of my research is to investigate through a synthesis of satellite and in-situ data the phytoplankton bloom dynamics in Arctic and Subarctic marine hotspots. More precisely, my research combines both physical and biological parameters together with statistical models to better understand links between physical drivers and the timing and magnitude of spring blooms.