Chapter 13: Abstraction, Measurement, and Classification Flashcards

(21 cards)

1
Q

Classification

A

grouping features by their attributes and attribute values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Simplification

A

getting rid of unwanted detail

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Exaggeration

A

enhance or emphasize important details of the attributes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Symbolization

A

using graphic markers to encode information for visualization

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Discrete Data

A

distinct data points

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Continuous Data

A

no location is empty

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Levels of Measurement (4)

A
  1. nominal
  2. ordinal
  3. interval
  4. ratio
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Nominal Data

A
  • lowest level of descriptive richness
  • emphasis on qualitative differences
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Ordinal Data

A
  • has all capabilities of nominal
  • has an ordering and ranking dimension
  • ex: living conditions, poor - moderate - good
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Interval Data

A
  • has all capabilities of ordinal and nominal
  • must use some sort of standard unit
  • NO TRUE ZERO
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Ratio Data

A
  • has all capabilities of ordinal, nominal, and interval
  • has a true zero
  • zero indicates absence of the thing being measured
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Qualitative Data

A

data that’s grouped in classes according to differences in type or quality

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Quantitative Data

A

data that contains attributes with differences in amount or number

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Key Elements of a Classification System

A
  • ranging (determining the low and high values of classes)
  • cut points (the boundaries between classes)
  • number of classes
  • all observations must go somewhere
  • any given observation can be put in only one class
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Classification Methods (6)

A
  1. natural breaks (jenks)
  2. equal interval
  3. defined interval
  4. quantile
  5. standard deviation
  6. manual
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Natural Breaks

A
  • creates classes according to clusters and gaps inn the data
  • minimizes variation within classes and maximizes variation between classes
17
Q

Equal Interval

A
  • creates classes of equal value ranges or equal interval
  • takes the difference between the lowest and highest values and divides the difference into evenly spaces intervals
18
Q

Defined Interval

A

cartographer defines the interval number

19
Q

Quantile

A

creates classes containing an equal number of observations each

20
Q

Standard Deviation

A

creates classes according to a specified number of standard deviations away from the mean value

21
Q

Manual

A

cartographer sets the class breaks