Urban Fieldwork Flashcards

1
Q

Route to geographical enquiry

A
  1. Identify suitable question for geographical enquiry
  2. Selecting, measuring and recording data appropriate to the chosen enquiry
  3. Selecting appropriate ways of processing and presenting fieldwork data
  4. Describing, analysing and explaining fieldwork data
  5. Reaching conclusions
  6. Evaluating the geographical enquiry
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2
Q

Urban fieldwork question

A

How does the environment quality vary and the land use change with distance from the CBD

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3
Q

Urban Hypothesis

A

The environmental quality of London improves with distance and the land use changes from commercial to residential as you move away from the CBD

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4
Q

Systematic sampling

A

Samples are chosen in a regular/ordered way. Evenly or regularly spaced

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5
Q

Advantages of systematic sampling

A
  • No prior knowledge required
  • No bias/will be fair
  • Don’t need random numbers
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6
Q

Disadvantages of systematic sampling

A

May lead to misrepresentation of the pattern/population

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7
Q

Stratified sampling

A

Using known information, the sample size is divided up into categories. Each category is surveyed according to the proportion of their representation within the sample size e.g. 100 people with 80 women and 20 men - a survey of 10 people would require 8 women and 2 men

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8
Q

Advantages of stratified sampling

A
  • Gives an accurate representation of the whole population
  • Removes bias
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9
Q

Disadvantages of systematic sampling

A
  • Must have detailed prior knowledge
  • May not have access to each category
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10
Q

Random sampling

A

Sample points selected at random with no pattern or sequence

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11
Q

Advantages of random sampling

A
  • Removes any human bias from the process/will be fair
  • No prior knowledge
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12
Q

Disadvantages of random sampling

A
  • Can lead to poor representation of the overall population
  • Requires a random number generator
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13
Q

Primary data

A

First hand data gathered by the researcher using methods such as interviews and questionnaires

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14
Q

Secondary data

A

Data collected by someone else and found in sources such as books, journal articles and the internet

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15
Q

What urban fieldwork techniques did we use?

A
  • Environmental Quality Survey (EQS)
  • Land use survey (RICEPOTS)
  • Pedestrian count
  • Traffic count
  • Questionnaires
  • Photographs
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16
Q

What data presentation methods did we use for urban fieldwork data?

A
  • Radial graph/Rose diagram
  • Pie chart
  • Bar graph
  • Line graph
  • Scattergraphs
  • Flow diagrams
  • Annotated photographs
  • GIS
  • Word clouds
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17
Q

Analyse

A

Investigate an issue by breaking it down into individual components and making logical, evidence-based connections about the causes and effects or interrelationships between the concepts

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18
Q

Evaluate

A

Measure the value or success of something and ultimately provide a substantiated judgement/conclusion. Review information and then bring it together

19
Q

What is an Environmental Quality Survey?

A

It uses an observer’s judgement to assess the environmental quality against a range of indicators. As it is based on personal judgements, data is subjective

20
Q

What is a Likert scale?

A

A sliding scale (1 to 5) representing less good to good

21
Q

What is a bipolar scale?

A

(-5 to 5) Indicates negative through positive assessment with 0 being neither good nor bad

22
Q

What is a Land Use Survey?

A

Along each of the transects use a systematic sampling strategy to select locations to record land use function. Land use is categorised for ease of analysis, a popular way of doing this is the RICEPOTS system. Secondary data from the land registry can be helpful here.

23
Q

What makes a good questionnaire?

A
  • Limited number of questions
  • Carefully worded so that respondents are clear on the meaning of each question
  • Follows a logical sequence
  • Avoids personal questions
  • Begins with the quickest questions, leaving the longer ones till last
  • Uses mainly closed questions with some open questions
24
Q

What are the disadvantages of a questionnaire?

A
  • Many people will not want to cooperate
  • People might not give accurate answers as they might want to provide “correct” answers
25
What is a pedestrian/traffic count?
A simple tally chart can be used with the number of categories depending upon purpose. Counts should occur for a consistent period of time and a consistent point. The time and day should be recorded as well as any additional locational information e.g. traffic lights
26
Strengths of a bar graph
- Summarises large sets of data - Easy to interpret and construct - Shows trends clearly
27
Limitations of bar graphs
- Requires additional data - Does not shows causes, effects and patterns - Can only be used with discrete data
28
Strengths of line graphs
- Shows trend patterns clearly - Quicker and easier to construct than bar graphs - Easy to interpret - Requires little written explanation
29
Limitations of line graphs
- Does not show causes or effects - Can be misleading if scales on axis are altered - Can be confusing if there are multiple lines
30
Strengths of pie charts
- Clearly shows the proportions of the whole - Easy to compare different components - Easy to label - Information can be highlighted by separating segments
31
Limitations of pie charts
- Do not show changes over time - Difficult to understand without clear labels - Hard to compare two sets of data - Can only be used for a small number of categories
32
Strengths of scatter graphs
- Clearly shows data correlations - Shows the spread of data - Makes it easy to identify anomalies
33
Limitar of scatter graphs
- Data points cannot be labelled - Too many data points can make it difficult to read - Can only show the relationship between 2 sets of data
34
Strengths of choropleth maps
- Clear visual impressions of the changes over space - Show a large amount of data - Groupings are flexible
35
Limitations of choropleth maps
- Variations within the value set are not visible - Distinguishing between shades can be difficult - Makes it seem as if there are abrupt changes at boundaries
36
Strengths of proportional symbol maps
- Illustrates differences between many places - Easy to read - Data is specific to particular locations
37
Limitations of proportional symbol maps
- Not easy to calculate the actual value - Time consuming to construct - Positioning can be difficult with larger symbols
38
Strengths of photographs
- An accurate record of the time - Can represent things more clearly than numerical data - Can be used to show data collection techniques - Can be used to show changes over time - Helps recall key features
39
Limitations of photographs
- Not all photographs are relevant - Can be subjective and biased as the student selects what is photographed - Sometimes contains too much information - They are only 2D so judging depth is difficult
40
Strengths of field sketches
- Things can be left out if they are not relevant - Smaller important areas can be more detailed - Gives a broad overview of features - Helps recall key features
41
Limitations of field sketches
- Important details may be missed - The scale may be inaccurate - May contain inaccuracies which affect the analysis e.g. more litter
42
Strengths of maps
- Size and scale of features can be accurately measured - Key to show features around sample sites - Allows distribution of features to be shown accurately
43
Limitations of maps
- May be out of date - Cannot show changes over time - Bias may be introduced by highlighting certain features