Digital Mapping

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finalreview.docx

YOUR VERSION OF THE EXAM WILL BE EMAILED TO YOU SHORTLY FOLLOWING CLASS ON TUESDAY!!!

How to prepare for the exam that will be released on April 23rd after the review session in class. It will be due (submitted to Blackboard) by 11:59pm on Friday the 26th. We will have a drop-in lab in place of lecture on Thursday the 25th. Come with your computers and questions! No late assignments will be accepted!

THE EXAM (for the most part) REQUIRES DOING EXACTLY WHAT YOU DID IN LAB. The difference – you will have a different data set (Air BnB locations, prices, etc)

If you feel confident in your lab work you will ace the exam. There are also some short answer questions based on what we covered in lecture. You can prepare for these questions by going through the lectures and labs.

Statistics/Data/Math Issues

1. What were some of the reasons we discussed in class for student math failure? What are of the some of the solutions we discussed in class? (lecture)

2. What are some of the reasons you personally fail at math? (lecture)

3. What is cognitive load theory – how can we apply it to math failure? Can you identify solutions to cognitive overload? (lecture)

4. Why is visualization important to the way we analyze and understand data? (lecture)

5. Do you know the different types of data? (Categorical, Ordinal, Ratio) (Discrete or Continuous)

6. Can you identify if a relationship between variables is positive or negative? (correlation) (lecture)

7. Can you read and interpret a standard deviation (normal) curve given an average and standard deviation? (the curve we went over on the board) (lecture)

8. Do you know what an outlier is? Can you place it on the normal curve? (lecture)

9. Do you know the elements of a choropleth map?

10. Can you identify a choropleth map?

11. What is ecological fallacy on a choropleth map?

12. Do you know what Modifiable Areal Unit Problem is? What does it have to do with gerrymandering?

In Excel…

13. Can you fill out a frequency table based on excel data? (lab 6)

14. Can you create a histogram from a frequency table in excel? (lab 6)

15. Can you calculate a percentage in Excel? (lab 6)

16. Can you count cases/rows in Excel? (lab 6)

17. Can you calculate the mean of a data column in Excel? (lab 7)

18. Can you calculate the standard deviation of a data column in Excel? (Lab 7)

19. Can you execute an advanced sort in Excel and then calculate the average and standard deviation for multiple categories of the same variable (summarize)? (lab 7)

20. Can you define and apply mean and standard deviation to the analysis of a data set (looking at the relationship between 2 variables) (lab 7)

21. Do you know how to use snip? (lab 6-7)

Creating Your Own Maps

22. If I give you appropriate data – can you create a map and analyze it using copypastemap.com? (mapping portion from lab #6)

23. Can you access Social Explorer (Labs #9 and #10)

24. Can you create a map about specific topic/variable with a specific scale (states/counties/census tracts) in Social Explorer? (Labs #9 and #10)

25. Can you create a map with specific kind of classification (cut points and colors) (Labs #9 and #10)

26. Can you analyze/tell a story about this map and use it to discuss solutions to a real-life problem? (Labs #9, #10, #11, and #12)

Map Analysis

27. Can you read and analyze data visualizations? I will likely pull visualizations from the New York Times Graphics Twitter and FiveThirtyEight.com. You will focus on how these visualizations a) tell stories and b) how they use visual hierarchy to communicate an argument. DO NOT HAVE THE SAME STORY AS ANOTHER STUDENT.

28. How do maps and data visualizations tell stories?

29. What is visual hierarchy and how is it used on maps and other data visualizations?

30. What is spatial analysis – (What kinds of relationships can you identify on a map?)

Cartograms

31. Can you identify a cartogram?

32. Do you know what a cartogram is?

33. Can you interpret a cartogram?

34. What is a dorling cartogram? Can you identify one?

Experiential Space

35. How is our experience with space different than what is on ‘Google Maps?’

36. Can you distinguish between absolute distance, relative distance, and emotional distance?

37. What does the cover the New Yorker we discussed reveal about the perspective of the artist who drew it?

38. What is place branding?

39. How did Hip Hop culture challenge I love New York?

Conclusion lecture

40. What do I mean when I say technology is social? (Standing on the shoulders of Giants)

41. How have digital maps affected our experience of space?