An environmental planner tries to minimize the environmental impacts of housing, industrial, and transportation-related construction projects. Environmental planners help project managers navigate the environmental permitting process where they review a site to investigate potential environmental effects. This includes the effects of natural disasters.

Check out this interactive data visualization and simulation tool.  It explores the impact of collapsing polar ice sheets (Greenland and Antarctica) and their impact on global mean sea level rise, along with shrinkage in the livable area around the world.

Geospatial Information Scientists and Technologists research geospatial data or develop geospatial technologies. Geospatial data is data that has a geographic component associated with it, such as coordinates or an address, and geospatial technologies are the technologies used to collect and analyze geospatial data. 

Mathematical modelers use mathematics to create models that demonstrate complex processes or solve problems. Many mathematical modelers use their skills to create and animate 3D representations of their processes with the assistance of software technology. 

LIDAR Remote Sensing Technologists uses remote sensing strategies to analyze data to solve problems in areas across the globe. They use LIDAR - Light Detection and Ranging - as a method of remote sensing to examine the surface of the Earth. 

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

Using various visualizations (i.e., images, charts, and graphs), students will explore the energy exchange that occurs when hurricanes extract heat energy from the ocean. This StoryMap is intended to be used with students who have access to the internet in a 1:1 or 1:2 setting. 

Students investigate the effects of Hurricane Sandy and make a scale model of the storm over the continental United States to assess the area of impact.

The purpose of this lesson is for students to compare data displays to determine which best answers the driving question. To do this they will evaluate the spread of the data and what the displays show. 

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.