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Introduction. As many other countries, France is facing the challenge of modelling its residential energy consumption (which is cccounting for more than 30% of the total energy consumption and is contributing for more than 16% of national CO2 emissions ). Modelling residential energy consumption is essential to be able to understand national energy problematic and predict future trends, thus to be prepared to adapt policies and legislation in order to meet energy efficiency requirements at global and European levels as, for instance, the recent adopted Loi Relative à la Transition Energetique (2015) ...

Summary Using this Shiny app, one can visualize oil prices (from 2000 to 2021) and events that may have had an impact on prices. The idea here is to overlay historical event data on top of a time series graph. The user can select a year and a type of source of event data to be displayed (Oil Timeline or Wikipedia). Oil prices were retrieved thanks to the U.S. Energy Information Administration API (EIA). ...

Introduction. While conducting a marine seismic survey, a high variety of data is collected by the seismic vessel operating the survey. In addition to the seismic data acquired, water depths measured by the vessel’s echo sounder are providing useful information about the ocean floor. The high density of the spatial points with measured water depths makes it possible to create a 3D bathymetry map of the local area surveyed. In R, several packages allow for building 3D surface maps, such as rgl, plot3D, lattice, . ...