Answered step-by-stepRead the Module 4 Lab Assignment steps and watch the videos to...
Read the Module 4 Lab Assignment steps and watch the videos to answer the following questions.
https://geos270.github.io/Module4/docs/Application.html
1) What is NDVI and what is it used for and how is it calculated? What do high and low NDVI values represent respectively? What patterns do you see in the NDVI data for the metro Vancouver area?
5) Which Census Unit displays a more direct relationship between Income and Housing? What evidence supports this conclusion?
6) 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.
7) 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?
11) Why did we calculate the PCT_Green_Space field?
12) 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?
13) 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?
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