Category | Written Answers | Figure Submissions | Score |
---|---|---|---|
Missing | 0% | ||
Insufficient | Missing major key points or serious logical flaws | Serious errors in analysis, missing data, or major stylistic issues | 25% |
Below Expectations | Missing a few key points or minor logical flaws | Minor errors in analysis or multiple stylistic issues | 50% |
Meets Expectations | Hits key points and mostly well constructed | Error free analysis, minor stylistic issue | 75% |
Exceeds Expectations | Clearly thought out, concise, and astute | Error free analysis and clean, aesthetically pleasing map | 100% |
Lab Assignment Questions
You can submit your answers to this Lab Quiz questions on via the corresponding Canvas Quiz. Questions in this document are hyperlinked to relevant content incase you need help finding answers. Feel free to work with peers in the lab, but make sure all work submitted is your own. Written answers can be brief and bullet point format is okay unless otherwise specified.
Rubric
Written answers and figure submissions will be evaluated using the rubric below and your TA will provide brief comments where applicable. Maps, charts, and other figure submissions will be evaluated for completeness and aesthetics. For Lab 1, as long as you can make a map with the necessary elements, you’ll get full credit! As the term progresses, figure submissions will be evaluated to a higher standard.
Quiz Questions
Unless otherwise specified, numeric answers have a margin of error of 0.01, so give all responses to at least the hundredths place.
Looking at the VanDA_2016 layer, for every $100 increase in income at the DA level, how much does rental price increase? Hint
Looking at the VanDA_2016 layer, what is the R2 score for this model? Hint
What is the median population of a Census Tract (VanCMA_CT_2016) in Metro Vancouver? Hint
Which Census Unit displays a more direct relationship between Income and Housing? What evidence supports this conclusion? Hint
What value does the Natural Breaks method determine should denotes the lower bound of the “Green Vegetation” class? Hint: Look at the Start/End values when applying the natural breaks classification. Hint
Looking at the satellite image, how well do you think the natural breaks classification method did at distinguishing areas of green vegetation from residential areas and urban/water areas? Hint
What is the highest MEAN NDVI value for any CT in the Metro Vancouver CMA? Hint Double clicking on MEAN NDVI in the attribute table allows you to sort in ascending/descending order. (Round your answer to the nearest hundredths place) Hint
What is the mean PCT_Green_Space value per Census Tract? (Round your answer to the nearest hundredths place) Hint
Why did we calculate the PCT_Green_Space field? Hint
Describe the relationship between the Mean_NDVI value per CT and and the PCT_Green_Space per CT. Are they telling us the same thing? How Strongly are they related? Hint
Are either Mean_NDVI or PCT_Green_Space strongly linked to housing cost? What evidence supports this conclusion? How might we refine our analysis using Ordinary Least Squares Regression? Suggest a two other factors you think we should include in our analysis besides Mean_NDVI or PCT_Green_Space? Are there any other more general improvements you think we could make to this analysis beyond just adding more variables to our model? Hint
Export your Layout as a .pdf and upload it to Canvas. Hint