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GEOG*2480 > Week 6 + Lab 2: Data Classification > Flashcards

Week 6 + Lab 2: Data Classification Flashcards

1
Q

What is the term for this definition:

= the extent to which attributes (eg. land cover) correspond to their real world counterparts

a) accuracy
b) precision

A

a) accuracy

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2
Q

What is this an example of:
=29% vs 30%
=July 1987 vs August 2018

a) accuracy
b) precision

A

a) accuracy

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3
Q

What is the term for:
=the detail with which attributes are represented
= 29% vs 29.423408%
=July 1987 vs July 27th 1987 @ 10:33

a) accuracy
b) precision

A

b) precision

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4
Q

What is the term for this definition?
=inherent nature of feature

a) quantitative
b) qualitative

A

b) qualititative

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5
Q

True or false:

The Golf Course is an example of a Qualitative measurement?

A

True

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6
Q

What is the term for this definition:
=measured value

a) quantitative
b) qualitative

A

b) quanititative

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7
Q

True or False

The meters above sea level is an example of a Qualitative Measurement

A

False, it is Quantitative

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8
Q

What is the term for this description:

=descriptive, categorical

a) Nominal
b) ordinal
c) interval
d) ratio

A

a) Nominal

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9
Q

What is the term for this description:

=ranking: objects/events arranged as “greater than” or “less than”

a) Nominal
b) ordinal
c) interval
d) ratio

A

b) ordinal

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10
Q

What is the term for this description:

=order of + distance between observations
- no absolute zero as starting point

a) Nominal
b) ordinal
c) interval
d) ratio

A

c) interval

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11
Q

What is the term for this description:

=similar to “interval” but has a known absolute starting point

a) Nominal
b) ordinal
c) interval
d) ratio

A

d) ratio

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12
Q

What level of measurment only includes Mode for Math?

a) Nominal
b) ordinal
c) interval
d) ratio

A

a) nominal

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13
Q

what level of measurement only includes Median and Mode for Math?

a) Nominal
b) ordinal
c) interval
d) ratio

A

b) ordinal

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14
Q

What level of measurement includes these mathematical properties:
+, -, median, mode, mean

a) Nominal
b) ordinal
c) interval
d) ratio

A

c) interval

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15
Q

What level of measurement includes complete arithmetic possible (including x + /)

a) Nominal
b) ordinal
c) interval
d) ratio

A

d) ratio

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16
Q

What is this an example of:
=land cover
- wheat, soybean, water

a) Nominal
b) ordinal
c) interval
d) ratio

A

a) nominal

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17
Q

What is this an example of:
=Low, Med, High
- income
-wildfire risk

a) Nominal
b) ordinal
c) interval
d) ratio

A

c) ordinal

18
Q

What is this an example of:

  • deg C/F
  • Time (CE)

a) Nominal
b) ordinal
c) interval
d) ratio

A

c) interval

19
Q

What is this an example of:
- k temp scale
(600K is 2x as warm as 300K)
- number of people

a) Nominal
b) ordinal
c) interval
d) ratio

A

d) ratio

20
Q

What classification technique “splits data into classes of equal ranges”

a) equal interval
b) equal frequency (quantiles)
c) St. dev
d) natural breaks

A

a) equal intervals

21
Q

What classification technique “divides data into classes w/ equal numbers of observations in each class”?

a) equal interval
b) equal frequency (quantiles)
c) St. dev
d) natural breaks

A

b) equal frequency (quantiles)

22
Q 
What classification technique "establishes class boundaries according to St. Dev from the mean"
- rule of thumb: 3 St. Dev above/below mean

a) equal interval
b) equal frequency (quantiles)
c) St. dev
d) natural breaks

A

c) St. Dev

23
Q 
What Classification technique " ranks order data, places class breakpoints at breaks in data continuum"
- clusters similar values

a) equal interval
b) equal frequency (quantiles)
c) St. dev
d) natural breaks

A

d) natural breaks

24
Q

What classification technique is best used for continuous datasets?
- eg. temp, precipitation

a) equal interval
b) equal frequency (quantiles)
c) St. dev
d) natural breaks

A

a) equal interval

25
Q

What classification technique is best used for evenly distributed data across a range?

  • excels at empahasizing the relative position of the data values
  • good for comparision

a) equal interval
b) equal frequency (quantiles)
c) St. dev
d) natural breaks

A

b) equal frequency (quantiles)

26
Q

What classification technique is best used for data that conforms to a normal distribution?
-shows departure from the overall average in (near) normally distributed datasets

a) equal interval
b) equal frequency (quantiles)
c) St. dev
d) natural breaks

A

c) St dev

27
Q

What classification technique is best used with unevenly distributed data but not skeqwed towards either end of the distribution?
- good to find similarities and dissimilarities between them?

a) equal interval
b) equal frequency (quantiles)
c) St. dev
d) natural breaks

A

d) natural breaks

28
Q

What field stores
- no decimals
Range: -32 000 –> +32 000

a) short
b) float
c) long
d) text

A

a) short

29
Q

What field stores:
-no decimals
Range: -2 billion –> +2 billion

a) short
b) long
c) float

A

b) long

30
Q

What field stores:
- decimal numbers
-scientific notation
Range: -1.2 x 10^38 –> +1.2 x 10^38

a) short
b) long
c) float

A

c) float

31
Q

What field stores:

  • a series of alphanumeric symbols
    eg. street names, text descriptions

a) long
b) float
c) text

A

c) text

32
Q

Precision = 5, what is the correct number

a) 55 55
b) 599
c) 99 999
d) 999.999

A

c) 99 999
Precision is the total number of digits for numeric fields
–> number of characters

33
Q

Scale = 3, what is the correct number?

a) 3.33
b) .999
c) 3.93
d) 999

A

b) .333

Scale is the number of digits that are decimals

34
Q

Precision is 5 and Scale is 3, what number is correct?

a) 55.55
b) 99.999
c) 9.999
d) 99 999

A

b) 99.999

35
Q

What is the term for this definition?
=amount of variation in a data set from the mean?

a) mean
b) variance
c) st. dev
d) range

A

b) varience

36
Q

What is the term for this definition?
= the square root of varience?

a) median
b) range
c) st. dev

A

c) st. dev

37
Q

T/F

A small St.Dev indicates that the data is grouped closel around the mean

A

True

38
Q

T/F

A small St. Dev indicates that the data is spread across a large range

A

False, that is Large St.Dev

39
Q

Name the classification technique that has this problem
=certain datasets may fall into 1 or 2 classes
=skewed data and outliers can have empty classes

a) Equal Interval
b) Equal Frequency (quantiles)
c) St. Dev
d) Natural Breaks

A

a) equal interval

40
Q 
Name the classification technique that has this problem 
=features w/in the same class can have very different values
=can make data seem like it has a wider difference
-> small range data can be put into different classes

a) Equal Interval
b) Equal Frequency (quantiles)
c) St. Dev
d) Natural Breaks

A

b) Equal frequency (quantiles)

41
Q

Name the classification technique that has this problem
=skewed data may get empty classes

a) Equal Interval
b) Equal Frequency (quantiles)
c) St. Dev
d) Natural Breaks

A

c) St. Dev

42
Q

Name the classificaName the classification technique that has this problem

  • can make classes that have widely varying number ranges
  • can be difficult to compare 2+ maps (since class ranges are specific to each dataset) - may not see comparison

a) Equal Interval
b) Equal Frequency (quantiles)
c) St. Dev
d) Natural Breaks

A

d) Natural Breaks

GEOG*2480 (5 decks)

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