GIS6005- Communicating GIS - Student Spotlight

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​
GIS 6005 - Communicating GIS, Instructor, Dr. Derek Morgan


Communicating GIS is the first course to be offered from the M.S.A. with a specialization in Geographic Information Science (GIS) degree plan. This course begins with the basic theory of graphic design, cartography, and map production and distribution. Students then learn to communicate specific types of spatial and analytical information through maps, written and oral explanations, graphs, tables, charts, and interactive web mapping applications.

During week 9, students built on previous exercises and worked with techniques for including multiple variables within a single map. When effectively designed multivariate mapping can be used to show relationships between variables, making this method particularly useful for exploration and confirmation purposes. The lab drew on previous material such as color, choropleth and map design in general.

STUDENT SPOTLIGHT AWARDS


We would like to recognize EmilyVandenheuvel for her multivariate module work.


Emily has been a pleasure to have in the class. Emily comes to us with a BA in Geography & Psychology from Northern Michigan University. Her previous education has served her well in Communicating GIS, as she has thoughtfully contributed to course discussions both as a student and discussion leader. For instance during the week of lab 6 Emily asked clarifying questions regarding the usage of normalized variables within Choropleth mapping that fostered a subsequent dialog that was useful to her classmates. For the multivariate lab Emily successfully created a bivariate map illustrating obesity as it relates to physical activity rates across the USA. Her legend (shown here) demonstrates many of the design principles that we covered in the class. She makes use of different typography and colors effectively showing the relationship between these two variables. Also, her blog post is well written and shows the corresponding map she produced.

Great work Emily!

Multivariate Mapping Module Learning Outcomes
  • Recall map design choice for multivariate maps
  • Explain how multivariate maps contribute to a better understanding of the relationship between variables.
  • Carry out bivariate choropleth using GIS software

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