Maps Flashcards

(46 cards)

1
Q

three principles for designing maps

A
  1. focus (who the map is for)
  2. simplicity (what data is needed what isn’t?)
  3. think cross disciplinary
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2
Q

what does a map represent

A

spatial data that provides a reader with information

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3
Q

can maps be abstract

A

YES - can be ideas or concepts

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4
Q

are maps considered a model

A

YES

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5
Q

are maps truthful

A

NO - all maps are wrong

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6
Q

what is cartographic generalization

A

the simplification of representing items on a map

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7
Q

does GIS data have a map scale before or after map is printed

A

AFTER printed

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8
Q

what controls generalization

A

scale

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9
Q

what are two ways of generalization

A
  1. line simplification
  2. reduction of spatial complexity
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10
Q

how can curves on a map be simplified

A

by using a subset of the original points

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11
Q

how can features be moved to increase clarity

A

smoothing them (make straight lines smooth and remove elements that aren’t needed)

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12
Q

geographic scale

A

real world size or area of a feature

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13
Q

relationship between objects on ground to geographic scale

A

larger ground objects = larger geographic scale

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14
Q

map scale

A

a value representing the number of units on a map relative to the number of same units on the ground

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15
Q

what is representative scale

A

the number of units on a map : the number of SAME units on the ground

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16
Q

what are three ways a map scale can be represented

A
  1. representative fraction
  2. verbal
  3. scale bar
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17
Q

do representative fractions have units

A

NO

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18
Q

scale bar

A

a graphic representation of the map scale

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19
Q

what is the best option for scale on a map

20
Q

large vs small scale map

A

large scale: maps showing SMALL geographic region with LARGE representative fraction value

small scale: maps showing a LARGE geographic region with a SMALL representative fraction value

21
Q

are features on a small scale map large or small

22
Q

are features on a large scale map large or small

23
Q

large or small scale map

24
Q

large or small scale map

25
accuracy vs precision
accuracy: degree for which information matches the true value precision: the level of exactness/repeatability of a dataset
26
is accuracy or precision "how far the data is from the reference point"
accuracy
27
is accuracy or precision "the distribution of data around a mean value"
precision
28
what is the standard mapping accuracy
0.5 mm
29
what happens to the area of uncertainty as the scale increases
area of uncertainty increases as scale increases
30
what are some purposes for maps
1. reference map 2. thematic map
31
reference map
a map that shows where geographic features are relative to each other
32
topographic map
designed to convey information about a single topic
33
type of map
thematic
34
type of map
reference
35
contrast points , polygones and lines
points - no area or length polygons - has area lines - has length
36
what is symbology
set of conventions that define how geographic features are represented with symbols on a map
37
what does symbology refer to
the size, shape and colour of symbols used
38
why are single symbol symbology used
show one set of data (where things are)
39
why are unique values used for symbology
show contrast between features in different categories (embassy by colour for each country)
40
what are graduated color symbology
features are placed in classes based on numeric values (shows density)
41
why is classification used in maps
1. for quantitate data 2. when applying graduated symbology
42
three types of classification
1. natural breaks 2. equal interval 3. quantile
43
pros and cons of natural breaks classification
pro - good for mapping uneven distribution cons - not good for comparing data - difficult to find the proper number of classes
44
pros and cons of quantile classification
pro - provides understanding of relative position cons - similar features can be placed in different classes - widely different features can be placed in the same class
45
pros and cons of equal interval classification
pro - best for values such as percentage or temp cons - prone to issues with clustering - not ideal of uneven distribution
46
why is normalization used in maps
it creates a ratio map, allows for comparison between different areas