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geography fieldwork - Coggle Diagram

- - - - selected using systematic sampling
        
        choosing items at regular intervals
      - used geographic.org
        
        lists street names of specified area in alphabetical order
        
        used list for Margam
        
        selected every 10th street until 4 chosen
        
        repeated with list for Saundersfoot
    - - eliminated any bias
        
        number chosen picked at random
        
        didn't have any involvement in choosing transects
      - produced sufficient data
        
        filled out EQS and handed out questionnaires along them
        
        collected wide range of data all around Margam and Saundersfoot that I was able to present, analyse and use to compare characteristics of each place
    - - clustering of transects
        
        list in alphabetical order rather than based on location
        
        e.g. every 10th street on list may have turned out to be next to each other
        
        thus not representative sample of whole area
  - - - for primary sources I planned to collect
      - involved
        
        planning out and creating questionnaire that I would ask residents of both areas to complete
        
        creating EQS that I would fill out whilst walking along selected transects
    - - convenient and cheap
        
        avoids process of printing as well as possibility of losing paper
        
        typing answers lot more quicker than writing by hand
      - incredibly useful
        
        allowed me to collect primary data that was helpful when presenting and analysing results in order to compare characteristics
    - - have to carry around tablet/iPad during investigation
        
        poses risks in terms of damaging device or even possibility of it being stolen
- - - - took average of five points on each transect in Margam
      - then took average of all four transects
      - resulting in total score (between 1 and 5) for each environmental aspect in Margam
      - repeated this method with results from Saundersfoot
      - used mean average over modal and median averages
        
        provides more accurate estimation
        
        considers all values
    - - five sets of data to present for each area
      - building condition, litter, traffic, pollution and vandalism
      - allowed me to present all of this data on one diagram at once
    - - could've presented this data using bar graph
      - would involve creating two different graphs
      - could display results for both areas on one radial graph
      - thus allowing for easier comparison
      - e.g. able to see that Margam generally scored higher in most categories
      - therefore able to conclude that environmental quality better in Saundersfoot
  - - - raw data on 'Office for National Statistics' stated how many residents in each area are males and how many females
      - converted this data into percentages of whole population
      - (male or female population/total population x 100)
      - could make direct comparison between Margam and Saundersfoot - area shown on x-axis
      - percentage of residents on y-axis
      - each area has two bars
      - one for percentage of males and another for percentage of females
    - - allows for easier comparison of sex demographics between each location at glance
      - e.g. able to clearly see that Margam has higher composition of Males and Saundersfoot has higher composition of females
    - - pie chart could've been used
      - data was in percentages
      - would require creating two different charts
      - able to display both areas on one comparative bar chart
- - - - walked along four transects in both locations
      - rated different environmental aspects (building condition, litter, traffic, pollution and vandalism) at every 100 metre interval
      - on scale of 1-5
      - 1 being most positive and 5 being most negative
      - e.g. rating building condition as 1 would mean that buildings are well looked after
    - - quantitative data
      - allowed me to answer sub-question, 'how do the socio-economic characteristics vary between Margam and Saundersfoot?'
      - environmental quality good representation of economic status of place
        
        e.g. found from EQS that buildings in Margam are more well looked after than in Saundersfoot
        
        can assume from this that residents of Margam generally have more money and thus higher incomes to maintain and look after properties
      - suggest details about social characteristics such as crime, by looking at litter and vandalism, and health, by looking at pollution
        
        e.g. found that Margam had more litter, vandalism and pollution
        
        therefore suggests that Margam has more crime and perhaps worse health
    - - could've collected similar data using secondary sources such as photographs on internet
      - EQS better choice as formal representations like such photographs may not accurately depict true characteristics, aiming to portray area in best possible light
  - - - can view local area reports
      - include information on characteristics of people and households in specified area
      - to access this information had to type 'Margam' or 'Saundersfoot' into search bar and it would display data from 2011 Census
    - - information extremely relevant to investigation
      - not only on demographic characteristics of each location, but also socio-economic and cultural characteristics
      - data about sex, age and race for the demographic characteristics
      - employment/unemployment for socio-economic characteristics
      - place of birth, religion and language for cultural characteristics
      - e.g. found that Margam and Saundersfoot differ in age of their population
        
        average age in Margam is 40
        
        in Saundersfoot it's 50
    - - could have collected similar information by using questionnaire
      - using this secondary source definitely better choice
      - considers whole population
      - unlike questionnaire that would only represent small group of people from area