Information from satellites if often used to display information about objects. This information can include how things appear, as well as their contents. Explore how pixel data sequences can be used to create an image and interpret it.

Students identify patterns in chlorophyll concentration data to formulate their explanations of phytoplankton distribution. 

Students will identify and describe the relationship between watersheds and phytoplankton distribution. 

Students identify patterns and describe the relationship between chlorophyll concentration and incoming shortwave radiation. 

NASA visualizers take data – numbers, codes – and turn them into animations people can see and quickly understand.

Interpret the map, or model, to find patterns in the occurrence of tropical cyclones from 1842 through 2018.

Students will use coloring sheets to create a color coded model of El Niño and analyze it. If the Data Literacy Map Cube is used with this, students will color their models first.

Hands-on demonstration of the El Niño Effect, trade winds, and upwelling provided by NASA's Jet Propulsion Lab.

Learners will analyze and interpret a box plot and evaluate the spread of the data. Learners will compare it with a different visualization of the data to see how the two compare, discuss the limitations of the two types of data displays and formulate questions.

Interpret a scatter plot to find patterns in the number of tropical cyclones from 1842 to 2018.