Project Design, Organization, and Analysis (60 points)

In order to receive all points in this area, the project must include the following sections.

  • Introduction (5 points)

    • Project has a title

    • Project’s geographic area is clearly defined

    • Project stakeholders are identified

    • Project goals and objectives are clearly stated

    • Project helps solve a real-world problem and/or has real-world application (briefly describe)

  • Data Preparation (20 points)

    • Source of data layers is clearly explained (i.e. created vs. downloaded).

    • Challenges related to data preparation are presented

    • Discussion of types of data is included (formats, coordinate systems, etc.)

    • Discussion of types of software used (software, extensions, APIs, etc.)

  • Data Analysis (30 points)

    • Data analysis types are clearly discussed (what types and why?)

    • Challenges encountered during analysis explained

    • Describe how project helps solve a real-world problem and/or has real-world application

    • Explanation of additional types of analysis that could be used in the future

  • Conclusions (5 points)

    • Summarize your project

Project Presentation (40 points)

  • Application of geospatial technology (10 Points)

    • Project uses at least 2 technologies or applications related to geospatial, e.g., GIS, GPS, remote sensing, mobile GIS, web-based GIS, etc.

  • Presentation quality (20 Points)

    • Video presentation is clear

    • Video presentation is well-organized

    • Video presentation is within time limit

    • Video presentation makes use of cartographic output (and/or the use of tables or graphs)

    • Video presentation highlights project deliverable/outputs and they are easily readable within the video

  • Attribution (10 Points)

    • All data was used with permission and attribution as to its source*

*Data sources must be well documented including, if necessary, permissions for use. Project data that is downloaded from the internet must include the date of the data as well as the date that the URL was accessed and/or the date the data was downloaded. Field data that was collected as part of the project must be identified with the date of collection.