fieldwork Flashcards

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1
Q

title of physical geography investigation

A

to investigate the effect of trampling on the abundance and diversity of vegetation at Reigate Heath, Surrey

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2
Q

title of human geography investigation

A

to investigate the pattern of housing and environmental quality in Reigate

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3
Q

factors to consider when choosing a suitable hypothesis

A

location- accessible?
- expensive/ cheap?
- is there data to collect?

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4
Q

geographical theory for physical investigation

A

changes affecting
ecosystem balance,
food webs,
conflicting land uses, vegetation succession, environmental sustainability

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5
Q

primary data sources (P)

A

data from original source

tallest species
% of vegetation cover
species count
height of footpath

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6
Q

secondary data sources (P)

A

data from a secondary source

historical data
OS map
management plan for reigate heath

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7
Q

describe the location of Reigate Heath

A

south of A25
west of Reigate town centre
reigate

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8
Q

uses of reigate heath

A

walking
relaxation
explore wildlife
golf course

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9
Q

management of reigate heath

A

if deforestation occurs- tree stumps left intact- encourages insect species diversity

retaining/aiming for 38% as woodland, 35% as grassland

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10
Q

risk assessment for
tree stumps and uneven ground

A

risk of trips, foot injuries

wear sturdy shoes
no running
carry a first aid kit

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11
Q

risk assessment for
adders

A

risk of snake bites

contact site manager to see if snakes present
call 999
students move slowly around site

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12
Q

risk assessment for
ticks

A

risk of lyme disease

wear long sleeved clothing
be aware of lyme disease symptoms

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13
Q

explain the steps of data collection using quadrats

A

measure 20m (tape measure) along a footpath

place quadrat record:
% vegetation, number of species, height of tallest plant

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14
Q

why is data collection better in summer

A

species are in full bloom- easy to identify different species

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15
Q

what was the sampling method

A

systemic sampling
quadrat placed every metre

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16
Q

positives of using quadrats

A

cheap

allows study of vegetation over a range of areas

good to show vegetation distribution

17
Q

negatives of using quadrats

A

only an estimate of % vegetation- inaccurate

difficult to separate ground and plants resting horizontally

18
Q

strengths of primary data

A

data is reliable
data is specific to enquiry
The method of the collection is known
It is up to date

19
Q

negatives of primary data

A

Time-consuming

may need specialist equipment/resources

sample size needs to be large to be accurate

20
Q

strengths of secondary data

A

Easy to access
Low cost or free
A large amount of data sources are available

21
Q

negatives of secondary data

A

not specific to the enquiry

No control over the data quality

Data may be biased

Data may be out of date

22
Q

difference between quantitative data and qualitative data

A

quantitative- records quantities e.g
Traffic counts
River data: velocity, discharge
Weather data
EQS

qualitative data- records descriptive information, e.g:
Field sketches
photos
Interview answers

23
Q

purpose of sampling and types of sampling

A

not enough time to measure the whole area
provides a valid sample of the whole population

systemic
random
stratified

24
Q

pros/ cons of random sampling

A

Least biased
all sample sites have an equal chance of being selected
Can be used with a large sample area

poor representation of overall population if the random sites miss large areas
Some sites selected may not be accessible or safe

25
Q

pros/ cons of systemic sampling

A

easy and quick
more straightforward than random sampling
covers the whole area equally

increased bias
Not all sites have an equal chance of being selected

26
Q

pros/ cons of stratified sampling

A

can be used alongside systematic and random sampling
Comparisons can be made between sub-sets

The proportions of sub-sets must be known and accurate

27
Q

strengths/limitations of bar graphs

A

Summarises a large set of data
Easy to interpret and construct
shows trends clearly

Does not show causes, effects or patterns
Only used with discrete data

28
Q

strengths/limitations of line graphs

A

Shows trends and patterns clearly
quick, easy to construct
easy to interpret

Does not show causes or effects
if there are multiple lines on a graph it can be confusing

29
Q

strengths/limitations of pie charts

A

Clearly shows the proportion of the whole
Easy to compare different components
Easy to label

Do not show changes over time
Difficult to understand with no clear labelling
Hard to compare two sets of data

30
Q

strengths/limitations of scatter graphs

A

Clearly shows data correlation
Shows data spread
Easy to see anomalies

Data points cannot be labeled
Too many data points can make it difficult to read

31
Q

strengths/limitations of chloropleth maps

A

The clear visual impression of the changes over space Makes it seem as if there is an abrupt change in the boundary

Shows a large amount of data
Distinguishing between shades can be difficult
Groupings are flexible Variations within the value set are not visible

32
Q

strengths/limitations of proportional symbols map

A
33
Q

strengths/limitations of photographs

A
34
Q

strengths/limitations of maps

A
35
Q

strengths/limitations of field sketches

A