Fieldwork Flashcards
Physical fieldwork title
to investigate the effect of trampling on the abundance and diversity of vegetation at Reigate Heath, Surrey
Human fieldwork title
to investigate the pattern of housing and environmental quality in Reigate, surrey
what is the geographical theory underpinning the physical enquiry
- the more foot travel there is, the more the path dies back and erodes so the less vegetation there is
what were my primary data sources for p
- percentage vegetation cover
- height of tallest species
- no. different species
- depth of footpath erosion
secondary data sources for p
- maps (to identify location)
- google lens (species identification)
- social media (find land use conflicts)
- weather reports
primary data sources for h
- garden size
- no trees
- no windows
- traffic
- cleanliness
- house type
- appearance
- garage size
secondary data sources for h
- questionnaire survey
- noise survey
- zoopla (prices)
- OS maps
-police website for crime survey
what was the geographical theory underpinning the human enquiry
housing quality increases with distance from town centre
-environmental, house prices, services
potential hazards of the p investigation and ways to reduce this risk
- injury from falling over uneven ground or tree stumps -> wear sturdy shoes and no running allowed
- lyme disease from ticks -> education about symptoms and wear long clothing
- risk of illness/hypothermia from adverse weather -> adapt activities to conditions, wear suitable clothing
potential hazards of the h investigation and ways to reduce this risk
- getting hit by cars (cross only at zebra crossings)
- getting abducted by stranger (groups, meeting places and times established)
- risk of injury by adverse weather (wear suitable clothing, adapt activities)
what is the difference between primary and secondary data
primary: data you have collected yourself
secondary: data that has already been collected and been made available
sampling methods and adv vs disadv
- systematic – good spread of location and eliminates bias – may have problems with access
- random – removes bias – may not get a true representation of the sample group as whole sections could be missed completely
- stratified – good representation and sample spread – can bring in bias
description and justification of data collection methods p
- quadrat (systematic) – clear, simple, easy to use, allows investigation over large areas, inexpensive, change over space – can be subjective (%)
- ruler to measure height – simple, easy to interpret, not subjective – could not always put ruler on the ground due to other vegetation, quadrat squashed some plants
- collected data along a transect – – tape was not always held tight, we had to move the tape when walkers came past
description and justification of data collection methods h
- environmental and housing quality surveys (given a score on various features from +2 to -2)
easy to collect and enables qualitative data to be quantified
should try a wider scale to get more accurate ratings, subjective, features such as “old” may be good or bad for different people
explanation of chosen data presentation methods p
- kite diagram – demonstrates change over space, visually clear and comparison can be made – visually subjective as the scale influences visual effect, only works with a specific range of data, time consuming to construct by hand
