Penguins serve as marine sentinels because the health of their populations signals to change conditions in the ocean and on land. The 18 penguin species are affected by environmental pressures with varying intensity. In this project, we used bird sightings and climate data to predict the distribution of penguins and see how its distribution changed over the years. For data cleaning and visualization, ML prediction was used R. For visualization geographic data was used Kepler.gl.

Our analysis uses data provided at the workshop and from OBIS ( global open-access data and information clearing-house on marine biodiversity for science, conservation, and sustainable development) to build a species distribution model using machine learning. This model should be able to predict where our bird species of interest is likely to occur in the future - information that is invaluable to preserve these species and save them from extinction. Plying with ML - shows that was the wrong direction - predicted latitude provide useless information.

After we decided to communicate an idea about penguin's problem with VR-solution. For communication idea was used React360 to creating mockup for VR experience. The scenario of VR experience - contains 3D video penguins in natural circumstances and way how people can minimize negative impact.

Built With

  • kepler.gl
  • r
  • react360
  • vr
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