Spatial Skills Exercise
General Guidelines
The Spatial Skills Exercise develops your ability to visualize, analyze, and interpret spatial data. You will respond to one or two prompts using Python and the ArcGIS suite, producing maps and analysis outputs that reinforce concepts from lecture and in-class activities. Collaboration is welcome for brainstorming, but all submitted work must be authored individually. An explicit AI use statement is required; list every prompt used or state that AI tools were not used.
Submissions are evaluated using the criteria below. Be sure to review the Academic Integrity Policy and include any supporting scripts or notebooks as an appendix.
- Accuracy and Completeness (70%): Fully answer each prompt, apply sound spatial analysis methods, and clearly link methods to findings.
- Map Design and Functionality (20%): Follow cartographic best practices, choose appropriate symbology and projections, and ensure interactive elements function as intended.
- Effort and Professionalism (10%): Present polished, well-organized work that demonstrates care, attention to detail, and thoughtful communication.
The Spatial Skills Exercise accounts for 45% of the final grade. Details are provided below.
| Assignments | % of Final Grade | Due |
|---|---|---|
|
Exercise 1. Map Fundamentals
|
10% | Feb 14 (Saturday) |
|
Exercise 2. Spatial Integration
|
15% | March 28 (Saturday) |
|
Exercise 3. Spatial Analysis
|
20% | TBD |
Focus
Map Fundamentals introduces core cartographic principles, spatial data types, projections, and foundational geoprocessing techniques using Python and ArcGIS Online.
Focus
Spatial Integration extends your skills to combine multi-source datasets, perform joins, and manage complex attribute schemas to produce decision-ready layers.
Focus
Spatial Analysis emphasizes exploratory spatial data analysis, hot spot detection, and spatial regression workflows that translate insights into policy-relevant recommendations.