Overview
The course main project consists of 3 graded checkpoints:
2. Proposal
You’ll create a proposal, detailing the context of your research ideas, your data, and the spatial analytical techniques you plan to use.
3. Report
Here, you’ll create a report detailing the context of your project; your data, analyses, and results; and your interpretations/conclusions.
Grading
The grading breakdown for the main project is:
Exploration and Consultation |
15% |
February 18 |
Proposal |
35% |
March 25 |
Report |
50% |
May 12 |
Project Components
Pre-Proposal Exploration and Consultation: 15pts
In this section, you’ll informally describe your project ideas in a 1-page document. Your pre-proposal will consist of:
- A description of your general project ideas and motivation.
- It doesn’t have to be overly specific at this stage.
- List any preliminary goals or questions you’d like to address.
- Describe why you are interested in your proposed topic.
- A description of the data you have (or would like to have)
- You don’t have to list specific datasets, but you can if you already have them.
- A general description of your study approach (if applicable)
- Describe any ideas you have about general or specific analyses you’d like to perform.
- Graphical, statistical, simulation, etc.
Your ideas don’t have to be solidified at this stage, we’ll have a chance to talk about your ideas during our consultation.
Proposal: 35pts
Your proposal is a concise 2-page document (excluding figures and tables).
Your proposal consists of the following sub-sections:
Introduction and background: 7pts
- Describes the big-picture context of your project.
- Should be approximately 3-4 paragraphs
Resarch questions/goals: 7pts
Include concise statements of:
- Your research question/goal
- Your null and alternative hypotheses (if applicable)
Data and proposed methods: 8pts
Your data description must include:
- A table of the specific data sets you will use. For each dataset indicate:
- Data type: vector, raster, other
- Data source: U.S. Census, Mass GIS, etc.
Your proposed methods description must include
- General approach:
- Is your project descriptive, inferential, predictive, simulation, etc.?
- Brief description of how your methods address your research question or goals.
- The specific analyses you plan use.
- Include the names of R packages and functions if possible.
Expected insights: 8 pts
If you articulated a research question, null, and alternative hypotheses describe:
- What are the implications if you can reject your null hypothesis?
- What if you are unable to reject your null?
For descriptive analyses, describe:
- The patterns you expect to see and why.
- What are the implications if you observe the expected patterns?
- What could you conclude if you observe something different?
- If you have no expected results, describe at least 2 possible outcomes.
- Describe the implications of each outcome you listed.
Report: 50pts
Your report will be in the form of a mini scientific paper consisting of the 4 traditional sections:
- Introduction: 12pts
- Methods: 12pts
- Results: 12pts
- Discussion: 14pts