Monday, July 18, 2016

GIS 5100 – GIS Applications - Student Spotlight

Module #5:  Spatial Accessibility Modeling

Module 5's lab assignment required students to work with network-related GIS data to create a spatial accessibility model. Students were asked to work through a simple example of measuring spatial accessibility. Then, they were tasked with completing a more complex spatial accessibility analysis using network analysis skills obtained through the earlier lab work.

The STUDENT SPOTLIGHT AWARD goes to... Taylor Moore! 

Taylor excelled in this lab. Not only did he answer nearly all of the deliverable questions correctly, but he also produced a final map deliverable that illustrates some of the finer approaches to cartographic design (e.g. good map balance, color choice and typographic support). See for yourself:

Taylor has consistently delivered quality work this semester in GIS5100. Further, he has been active in the class both on the discussion forums (helping others) and engaged in the material by establishing an effective and positive dialog with the instructor when the material presented challenges. For instance, after asking a question to a class regarding one of the deliverables in this module, he took the time to later reply to his original post explaining how he figured out the answer. Finally, all of his blog posts have been narrated well and are very professional looking. 

Follow Taylor’s progress at his student blog:

Friday, July 1, 2016

GIS 4048 – GIS Applications - Student Spotlight

Module 5: Crime Analysis

The Washington D.C. Crime Analysis lab kicked off the Homeland Security and Law Enforcement topic.  Students utilized crime data from the DC Metropolitan Police Department to determine crime patterns in proximity to police stations and to identify underserved area(s) potentially in need of a police substation to curb crime.  Additionally students utilized density analysis to locate hot spots of certain crimes. The student spotlight award goes to.... Rachel Hamaty!

Rachel is no stranger to the spotlight as she has an eye for detail! This week her crime analysis map stood out as a spotlight for it’s crisp and clear presentation and the ease to which it communicates results.  The range graded police siren symbols are classified and symbolized for quick data acquisition--it is clear at a glance which police stations handle the most crime.  The added subtext on the map provides useful information such as an overview of DC crime patterns, the location of the proposed substation and why.  The crime graphs easily and aesthetically communicate the crime dynamics of city.  Excellent work Rachel!

Follow Rachel's progress at her student blog: