geographical methods (3.how to process and analyse data) Flashcards

1
Q

the data we collect from field work allows us to

A

make interpretations to make meaning of data collected

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2
Q

we process and analysis data to

A
  • seek patterns, relationships, and connections
  • look for trends, relationships and sequences
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3
Q

ways to measure frequency

A

count and percentage

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4
Q

count

A

the total number of time something occurs

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5
Q

percentage

A
  • a proportion of something, expressed as a fraction out of a 100
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6
Q

formula used to calculate percentage

A

(data/ total data) X 100%

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7
Q

measures of central tendency

A

mean, median, mode

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8
Q

what is mean

A

the average

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9
Q

how to calculate mean

A

sum all the values in the data set, divided by the number of values in the data set

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10
Q

advantages of calculating mean

A

it includes every value in the data set and no data is left out to show the central data (representative)

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11
Q

disadvantage of calculating mean

A

it is subjected to the influence of outliers, which can skew it and thus not provide the central location

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12
Q

median

A

the middle

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13
Q

how to calculate median

A

middle value for a set of data that has been arranged in ascending order (begins with the smallest value and ending with the largest value)

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14
Q

advantages of calculating median

A

it is less affected by outliers

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15
Q

disadvantage of calculating median

A

it is not as sensitive as mean in showing the central location in a data set (as it does not take all data points into account)

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16
Q

how to find mode

A

the mode is determined my ordering all the numbers then counting the number of times each number occurs. the number that occurs the most is the mode

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16
Q

mode

A

the most common

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17
Q

advantage of mode

A

useful for categorical data (eg finding the most popular __ ) and is not affected by outliers

18
Q

disadvantage if mode

A

not useful for continuous data (eg. temperature over the course of the day) because there may be 2 or more values that share the highest frequency

19
Q

what are 6 to take note of when analysing mental maps

A
  1. centring and borders
  2. scale of map elements
  3. labelling
  4. colours, legend and symbols
  5. perspective and orientation
  6. additional features
20
Q

centering and borders

A

features drawn at the centre captures attention, signalling these features are of greater importance to the mapper (as compared to features drawn at the boarders)

21
Q

labelling

A

labeled places indicate familiarity with the environment under study and may be accompanied by annotations
choice of words used ( ✅❌) in labelling provides information on mappers knowledge and emotion of the places experiences

22
Q

scale of map elements

A

comparing the scale of different map features within the map and with reality provides insights about a mapper’s familiarity and activity within the space

blank spaces could mean that the mapper is unfamiliar with the area or has not engaged in any activities there before

23
Q

colours, legend and symbols

A

memories of experiences can be represented spatially on maps using colours, the legend and symbols

24
colours in a map
can differentiate places and convey emotions, like red representing anger
25
legend of mental maps
elaborates the symbols the mapper used
26
symbols on mental maps
symbols like hearts and stars convey personal experience or information of places, such as a favourite or an important location to the mapper
26
perspective and orientation
aerial view vs street view how places are positions or orientated in relation to the surroundings also reveal the mapper’s subjective experience.
26
aerial view
captures a large area with lesser details
27
street view
capture a small area with greater details and could suggest the mappers familiarity with the area
27
additional features
additional features like paths, nodes or intersections may be added onto mental maps to show the mappers personal experiences of the places such as the daily routes they take
28
comparing actual maps with participants mental maps reveal
the differences such as disorientations, mislabeling, and mislocations, helping to understand the factors influencing perceived spaces
29
how can further verification be made with the mapper
through open ended questions asked during semi structured interviews where the mapper can also be asked why some spaces are prominent while others are absent or ignored
30
analysing processed data requires researchers to explain and interpret
observable patterns and relationships
31
observable patterns
characteristics that are similar and repeat themselves in a natural or human environment
32
relationships
interaction or connection between two things
33
ways to identify observable patterns or relationships
1. interpretation of scatter plots 2. best fit lines 3. recognisable patterns
34
patterns and relationships from the interpretation of scatter plots
shows information of various points with 2 variables which are plotted on the x and y axis of a graph
35
best fit lines
a straight line drawn on a scatter plot to show the relationship between 2 variables
36
types of variables
independent and dependent variable
37
independent variable
the variable that causes change
38
dependent variable
the variable affected by change
39
recognisable geometric shape
regular shapes characterised by straight lines, points and angles
40
clusters
information arranged close together in a group