- Describe how maps generalize a very complex world into something easier to understand.
- Define data classification
- Compare and contrast qualitative and quantitative classification
- Discuss the different types of quantitative classification
- quantile scheme
- equal-interval scheme
- natural-breaks scheme
- unique scheme
Chapter 8 of your text - MakingMaps: A Visual Guide to Map Design for GIS
The author's outline for this chapter from the class he teaches using this book - Thanks for sharing Dr. Krygier!
Ways to map quantitative data - ESRI ArcGIS 9.2 WebHelp
ACTIVE LEARNING EXERCISE
Create a map with at least 4 data frames. In each data frame, map Buncombe County census data using a different quantitative scheme.
- Sometimes, fewer data are often better. Give an example of this.
- What is the point of map generalization and data classification?
- List and describe the types of map generalization techniques.
- Why do we classify data?
- What is the difference between qualitative classification and quantitative classification? Give an example of each.
- When determining the number of classes to put your data into, what are some things to consider about whether to use relatively few classes or more classes?
- What is an advantage and disadvantage to using the quantile scheme for classifying your data?
- When is an equal-interval classification a good choice?
- When is an unique scheme a good choice for data classification?