- 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
- Utilize ArcWeb Services to generate a web-based map
- generalization
- classification
- simplification
- smoothing
- selection
- displacement
- quantitative
- qualitative
- quantile scheme
- equal-interval scheme
- natural-breaks scheme
- unique scheme
- ArcWeb Services
- ArcGIS Online
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
First, read about the new ArcGIS online here
Second, listen to the Instructor Series Overview of ArcGIS online podcast
Third, read about ArcWeb Services
Finally, do the tutorial from this issue of ArcUser Online - 3 Steps in One Hours - ArcWeb Services JavaScript API Tutorial - I'm still trying to determine the best way for you to show me that you have completed this work so for now just do it...STUDY QUESTIONS
- 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?
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