This mini lesson focuses on the 2015-2016 El Niño event and how its weather conditions triggered regional disease outbreaks throughout the world. Students will review a NASA article and watch the associated video to use as a tool to compare with maps related to 2015-2016 rainfall and elevated disease risk, and answer the questions.
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The Earth System Satellite Images, along with the Data Literacy Cubes, helps the learner identify patterns in a specific image.
This Lesson Plan provides some generic maps, graphs, and data tables for use with the Data Literacy Cube. Because this is a differentiated resource, it is appropriate for multiple grade bands.
This Lesson Plan provides maps, graphs, and data tables for use with the Data Literacy Cubes. Because it is a differentiated resource, it is appropriate for multiple grade bands.
This lesson plan provides some generic maps, graphs, and data tables for use with the Data Literacy Cube. Because it is a differentiated resource, this lesson plan is appropriate for multiple grade bands.
This video addresses the following question: "We know that there are a number of ways that data can be visualized. Would you please describe your process for looking at the same data as represented by different graph types and how this helps inform your meaning making from the data?"
Joshua Stevens,Lead for Data Visualization for NASA Earth Observatory at NASA Goddard Space Flight Center. Learn how he translates data from NASA missions and instruments into intuitive maps, charts and graphics which meet high quality standards and are consistent with current research.
This video addresses the following question: "We know that science is very much an iterative process. Can you describe for us your process for developing your follow-up questions after you have interpreted a set of data?"
NASA Earth Observations (NEO) strives to make global satellite imagery as accessible as possible. Here you can browse and download imagery of satellite data from NASA's constellation of Earth Observing System satellites.
This video addresses the following question: "As you think about exploring the data that you have collected, what are the approaches that you use to organize your data and/or process your data before you make meaning from the data?"