At the core of scientific visualization is the representation of data graphically - through images, animations, and videos - to improve understanding and develop insight. Data visualizers develop data-driven images, maps, and visualizations from information collected by Earth-observing satellites, airborne missions, and ground measurements. Visualizations allow us to explore data, phenomena and behavior; they are particularly effective for showing large scales of time and space, and "invisible" processes (e.g. flows of energy and matter) as integral parts of the models.
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This video provides tips for teachers on helping students make sense of data to help them understand and work with data. It is based on the work of Kristin Hunter-Thomson of Dataspire.org and uses data from the My NASA Data Earth System Data Explorer.
GLOBE protocols and learning activities that complement the Volcanic Eruptions phenomenon through hands-on investigations are detailed.
In this NASA-JPL lesson, students create a model of a volcano, produce and record lava flows, and interpret geologic history through volcano formation and excavation.
Learn about volcanic ash and watch a visualization of the Calbuco volcano to see how ash travels around the world.
Students use scale to determine the area of volcanic deposits following the March 3, 2015 eruption of Chile's Mount Villarrica stratovolcano, one of the country's most active volcanoes.
Students will describe the changes in a newly-formed volcanic island over the first three years of its life.
Students model Earth's tectonic plate movement and explore the relationship between these movements and different types of volcanoes.
Students will review the NASA Space Place video, "Tectonic Forces", and answer questions about tectonic plates.
A Data Support Specialist works with the user community to understand their science needs with the goal of providing support for NASA data and information services. They represent the user in product development and development resources to assist with the user community's needs. This person works directly with users to solve problems using NASA data, or to provide resources to improve understanding of the data.