Human Fieldwork Paper 3

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37 Terms

1
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Bi-polar analysis - what did data collected at high orchard Street show?

Limited vegetation

In a very disused state

Anoisy area

Few leisure facilities

Unpleasant view

Total score of -4 (very bad)

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Bi-polar analysis - what did data collected at the top of the main basin show?

Some / limited vegetation

Building renovated to a high standard and in use.

Peaceful and quiet area.

Pleasant and beautiful view.

Many leisure facilities.

Total score of 29. (Very good)

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Bi-polar analysis - what did data collected at Pillar and Lucy street show?

Much vegetation

Buildings renovated well and in use

Very peaceful

Relatively unpleasant view

Abundance of leisure facilities

Total score of 13. (Okay)

4
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What is evidence to show that the bi-polar analysis was effective at representing data?

It's clear to compare 3 different areas. Its obvious which factors are positive and negative and gives an overall quantitative score.

Covers both social and economic factors so more useful for overall conclusions.

Easy to construct by hand.

5
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What is evidence to show that the bi-polar analysis was ineffective at representing data?

It's easy to make mistakes (human error) particularly when colouring the different sides.

No opportunity to use statistics with them.

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What's the overall effectiveness of the bipolar analysis?

Mostly effective.

7
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How was data for the word cloud collected?

In 2018, people were asked ‘use 3 words to best describe how you feel about the regeneration of gloucester docks.’

8
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Word cloud data analysis: what words did most people use to describe the regeneration scheme? What does this show?

'Clean,’ ‘good,’ ‘quiet,’ ‘modern,’ bright’ and ‘beautiful.’

These all suggest socially the scheme has been very successful. However, there were also some negative words such as ‘dirty’ and ‘dissapointing.’

9
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What is evidence to show that the word cloud was effective at representing data?

It clearly showed the most common words as they were bigger.

10
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What is evidence to show that the word cloud was ineffective at representing data?

Lots of words were similar sizes, so hard to draw meaningful conclusions.

Subjective as qualitative data.

11
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Overall, how effective was the word cloud at representing data?

Overall only some degree of effectiveness.

12
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What did bar chart data show?

The vast majority (39/101) of people said their main purpose was to shop.

The second most popular reason was to go for a walk or browse

Then, 10 people said they were there for work. (However, questionnaire was carried out at 10:30 so most would already be at work.)

Least popular reasons (1 person) were to look at boats and for a specific event.

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How (and when) was bar chart data collected?

101 people were asked what the main purpose of their visit was. It was taken in 2018 at 10:30.

14
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What is evidence to show that the bar chart was effective at representing data?

Produced with edexcel so very accurate width of bars and colours - east to distinguish and see the different reasons - less chance of misreading the results.

Sensible axis numbers

Appropriate type of graph for discrete data.

15
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What is evidence to show that the bar chart was ineffective at representing data?

There were many categories and so it was difficult to distinguish between some of the colours / reasons. This may have led to inaccurate analysis of results.

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What is the overall effectiveness of the bar chart at representing data?

Very effective.

17
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Conclusion: how does the data collected show that the scheme has been socially successful?

Overall, yes - very.

Shown by word cloud data:most common words were good bright and beautiful - very positive.

Bar chart - main reasons people were there were social - shopping (39/101) and browsing

Bi-polar analysis - top of main basin and pillar and Lucy street scored high in having many leisure facilities and being atmospheric (attracts people to go there.)

18
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Conclusion: how does the data collected show that the scheme has been economically successful?

Overall, yes - mostly/partly

Bi-polar analysis - shows high ratings in categories such as many leisure facilities and being renovated to high standards and having good views. These factors will attract tourists who will likely spend money.

Bar chart data - vast majority of people (39/101) - money will benefit conomy.

Many jobs will have been created as a result of the scheme, eg. Gloucester docks outlet centre or in a restaurant.

19
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Conclusion: How much money did Gloucester docks regeneration scheme cost? How does this affect its overall success?

An investment of 300 million from the PEEL group and more from the general public.

Although money is being made back up through tourism and locals working in the area (who then pay tax). Howvever, this may not be sufficient to cover all the costs.

20
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What are limitations of the bi-polar analysis?

One persons view so very subjective.

Scores are likely to be different depending on the day and time you come. As there are many restaurants and shops, its likely to be far busier at the weekend than a weekday morning when the data was collected.

21
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What are limitations of the questionnaire?

By collating results from previous years, people will have different opinions depending on the day they went, what the weather was like, how busy it was etc.

Was recorded in 2018 so 7 years ago and people may feel differently about it today as some shops and restaurants have since opened, whilst others have shut down.

22
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What are some overall limitations of the investigation?

Questionnaire data was from several years ago and merged from different groups - they may have asked the same people which could affect the results and make it seem more positive than it actually is.

It was difficult to collect data on the economy - there was limited information on the true costs of the project and this would lead to unreliable conclusions regarding how successfully it has been economically.

23
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How could you have made the investigation more accurate?

Carrying out the questionnaires myself - to ensure the information is up to date and reflects the current situation.

Could have conducted questionnaires via social media so using primary rather than secondary data so using primary rather than secondary data - more up to date and reliable.

There was little data on the economy - could've conducted interviews over the telephone with buisnesses to find average yearly income to help see how much money is generated.

24
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To what extent were overall conclusions reliable?

Although there were clearly issues with data collection, the conclusions I came to were largely reliable and therefore valid.

Although I used secondary data for the questionnaires, they were collected relatively recently and there was a large sample size (101) providing an abundance of data (even allowing for repetition) that I was able to draw conclusions from. Leading to me believing my conclusions were reliable.

25
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What was the aim of the overall investigation?

To find out whether the Gloucester docks urban regeneration has been successful both economically and socially.

26
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What background theory is related to the enquiry?

Urban regeneration - the attempt to reverse a decline (due to a collapse in Britain’s industrial and manufacturing industry) by improving physical structure and economy in the area.

27
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Describe how you conduct a bi-polar analysis.

Stratified sampling so you go to one fully renovated and one unrenovated area.

Find a space in given area and fill out data recording sheet, taking into account what you can hear, see sense and smell.

Tick box for each category and add up scores to create a total score.

This method helps us understand what the environment is like and the facilities there are as well as social features and what experience the visitors will have.

28
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What does a geographical investigation consist of?

  1. Identification of factors to consider when choosing a question.

  2. The geographical theory or concepts underpinning the investigation.

  3. Collecting data from primary and secondary sources.

  4. Processing and presenting data.

  5. Analysing and drawing conclusions from the data.

  6. Evaluation f the methods and extent conclusions were reliable.

29
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How do you create a suitable question for a geographical enquiry?

  1. Decide what you want to find out (has to be linked to specification and the location you have in mind.)

  2. Decide on a title or hypothesis.

  3. Consider any related geographical theories or key concept.

  4. Consider any risks to carrying out the study

30
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What are good questions to ask yourself to check the feasibility of your study?

Is there sufficient time to collect all the data? Do you need permission to carry out the fieldwork?

31
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What is sampling?

A method used when its impossible or unnecessary to collect large amounts of data.

32
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What is random sampling?

No bias, everything has an equal chance of being selected.

33
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What is opportunistic sampling?

Getting data where you can or as necessary.

34
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What is systematic sampling?

Samples taken at regular / fixed intervals (eg every 3rd person that walks by)

35
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What is stratified sampling?

Based on knowledge of something in advance is. If you know the ages of a village, you gather a representative sample of each group.

36
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What is a risk of Gloucester docks fieldwork? How can you minimize this?

Drowning.

Use a map to now where areas of deep water are

Be sensible near water and avoid going near the edge

Stay in groups so if someone falls in, others can help

Know where lifebelts are located so you can be rescued quickly

37
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Describe how data for the questionnaire was gathered?

Look at the 2018 questionnaire data and use this to make a data presentation.

This helps us understand / determine why people are visiting - for social pr economic reasons?

And to fin out on average how much people spend (is it economically successful?)

To find out how people view the area (is it socially successful?)