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Investigating Earthquakes: GIS Mapping and Analysis (College Level) part of Teaching with GIS:Examples
This is a college-level adaptation of a chapter from the Earth Exploration Toolbook. The students download global quake data over a time range and use GIS to interpret the tectonic context. -
The Heat is On: Understanding Local Climate Change part of Cutting Edge:Visualization:Examples
Students draw conclusions about the extent to which multiple decades of temperature data about Phoenix suggest that a shift in local climate is taking place as opposed to exhibiting nothing more than natural ...
Exercise 8: Using LiDAR and GPS data to model the water table in ArcScene part of Cutting Edge:GIS and Remote Sensing:Activities2
Barbara and David Tewksbury, Hamilton College Tutorial for using the new LiDAR tools (LAS dataset and LAS toolbar) in ArcGIS 10.1 (Acrobat (PDF) 13.8MB Nov6 13). Same LiDAR Tutorial as a Word doc (Microsoft Word ...
When is Dinner Served? Predicting the Spring Phytoplankton Bloom in the Gulf of Maine (College Level) part of Teaching with GIS:Examples
College-level adaptation of the Earth Exploration Toolbook chapter. Students explore the critical role phytoplankton play in the marine food web. -
Exploring Personal Footprints part of Curriculum for the Bioregion:Activities
Students apply the main research methods in sociology to explore their personal footprints (i.e., the global consequences of their individual actions).
Race and Space part of Curriculum for the Bioregion:Activities
This assignment exposes students to racial inequalities in their own communities and helps them to identify the impact of racial segregation on quality of life. The big ideas in this assignment are racial inequality, residential segregation, and environmental justice.
Nitrate Levels in the Rock Creek Park Watershed, Washington DC, 1: Measures of Central Tendency part of Spreadsheets Across the Curriculum:Examples
Spreadsheets Across the Curriculum module/Geology of National Parks course. Students examine the histogram of a positively skewed data set and calculate its mean, median and mode.