Choropleth mapping Flashcards

1
Q

what does Choro + pleth mean

A

area + Value

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2
Q

what is a Choropleth mapping

A

mapping techniques which symbolize values applied to area

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3
Q

what are the aspatial requirements of choropleth mapping

A

derived data only
ratios, proportions, percentages, rates, commonly normalized.

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4
Q

what are 2 types of discrete areal units

A

Natural areal units
Artificial areal units

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5
Q

what is the MAUP

A

Data collected in arbitrary space results in simplification an error.
different aggregation of data creates different results

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6
Q

what are the effects of size of areal units in Choropleth mapping

A
  • higher aggregation results in higher data loss
  • impacts symbolization method
  • perceived accuracy/ appearance
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7
Q

how does map scale affect Choropleth mapping

A
  • ## smallest units must be visible
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8
Q

what is the difference between a choropleth and a chorochromatic map

A

chorochromatic maps are a form of choropleth but only show nominal area data

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9
Q

what are the two types of choropleth maps that show Interval, ordinal, or ratio data

A
  • classless Choropleth map
  • range graded choropleth map
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10
Q

what is one of the difficult aspects of range Graded Choropleth maps

A

choosing an effective classification interval

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11
Q

what are the six steps of choropleth mapping

A
  1. Judge suitability of data
  2. Order data (rank order)
  3. Classless or range-graded?
  4. Determine # of classes into which to divide data
  5. Determine class intervals (class breaks)
  6. Determine visual clues to differentiate between classes (Symbology)
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12
Q

what data is suitable for choropleth mapping

A

derved data,
- consider discrete/continuous
- aggregated by area

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13
Q

which is better, Range graded or classless choropleth maps?

A

depends, classless requires high computing power. Range graded is generally convention

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14
Q

what is the ideal number of classes

A

4-6

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15
Q

what does fewer classes convery

A

a louder message

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16
Q

what does many classes convery

A

shows more information, but messy

17
Q

what are the 4 classification schemes we used

A

natural breaks
Quanitile
Equal interval
Standard deviation

18
Q

How does natural breaks work

A

based on natural groupings in the dataset

19
Q

how does quantile work

A

each class contains an equal number of features

20
Q

how doe sEqual interval work

A

divides the range of attributes into equal sized subregions

21
Q

how does standard deviation work

A

how much a feature varies from the mean
requires normally distributed data

22
Q

when is class boundaries optimized

A

minimize variance within class, while maximizing variance between class

23
Q

what does GVF test stand for

A

goodness Variance Fit test

24
Q

what does GVF show?

A

it provides a summary statistic about the chosen classification method to show how good the scheme is.

25
Q

what is a nested mean

A

mean of the data used to divide the data into two classes, values above and below the mean.

26
Q

what is a skewness, Positive and negative

A

shows how the data is distributed, Positive skew is more 0, negative skew is greater values

27
Q

what is a single hue progression

A

a symbolization method that only involves one colour, typically white - full saturation

28
Q

what is a Bipolar Progression

A

using two colours to symbolize features, usually fully saturation one colour –> white –> full saturation another colour.

29
Q

what is a Bivarite choropleth map

A

a map choropleth map that has two variables.
square table to show intensity

30
Q

what is a good projection for Choropleth mapping

A

should use an equivalent projection