Changing Rural Environments: Methods (Edexcel GCSE Geography A)

Revision Note

Flashcards
Bridgette Barrett

Written by: Bridgette Barrett

Reviewed by: Jenna Quinn

Rural Fieldwork Methods

  • The data collection methods depend on the aims/hypothesis of the fieldwork

    • In rural environment fieldwork the only equipment which may be used is a digital decibel meter

    • Other data collection may include questionnaires, traffic counts and environmental quality surveys

  • Data collection should include both quantitative and qualitative methods

Questionnaires

  • Questionnaires can be used to gather the opinions of local people on changes in the rural environment

    • An example of a statement question would be:

      • 'The building of the new housing estate has increased traffic.' Do you strongly agree, agree, disagree or strongly disagree?

    • An example of a closed question would be:

      • 'How long have you lived in this area?'

    • An example of an open question would be:

      • 'What are your views on the new housing development in ............?'

  • These can be used to gather a large data sample

  • People may misunderstand the question or lie and this would affect the reliability of the data collected

  • Depending on the types of questions asked questionnaires can be qualitative or quantitative

Environmental Quality Surveys

  • Environmental Quality Surveys (EQS) can be used to compare different sites within the rural area 

    • A survey would be completed for each site

    • Care needs to be taken to be as objective as possible

    • EQS are a qualitative method

    • A range of sites needs to be collected to ensure there is sufficient data for conclusions to be drawn

    • Depending on the time of day/year the data collected may change, this needs to be considered in the evaluation - at rush hour there may a much higher than average level of traffic

Feature

Negative

-2

-1

0

1

2

Positive

Pavements

Pavements damaged and cracked in poor state of repair

 

 

 

 

 

Good quality pavements in excellent state of repair

Buildings

Buildings look derelict and uncared for

 

 

 

 

 

Buildings look well cared for 

Litter

Lots of litter 

 

 

 

 

 

No litter

Traffic

Lots of traffic and congestion

 

 

 

 

 

No traffic

Green space

No green space, trees or vegetation

 

 

 

 

 

Lots of green space, trees and other vegetation

Graffiti

Lots of graffiti 

 

 

 

 

 

No graffiti

Traffic and Pedestrian Flow Surveys

  • Traffic and pedestrian flow surveys can be used to compare the traffic and pedestrian levels at different sample sites

  • They can be completed on a tally chart at different sites and at different times of the day, this will help ensure:

    • Sufficient data is collected to be able to draw conclusions

    • The data is representative

Vehicle 

9am

11am

1pm

3pm

Car

 

 

 

 

Bus

 

 

 

 

Lorry

 

 

 

 

Motorbike

 

 

 

 

Bicycle

 

 

 

 

Photographs and Field Sketches

  • Photographs and field sketches are qualitative data 

  • Just as with any data collection and presentation, they have their strengths and weaknesses

  • In a rural environment, enquiry photographs and field sketches can be used to show changes in land use and impact on the environment at sample site locations

  • Photographs are also useful for illustrating the data collection methods used

Worked Example

Identify which one of the following is a type of qualitative data

(1)

 A

traffic count

newspaper article

pedestrian count

population census

Answer:

  • B: Newspaper article

  • The alternative answers are incorrect because:

    • A, C and D are all numerical data so are quantitative data

Examiner Tips and Tricks

Annotations and labels are not the same. A label is a simple descriptive point. For example, 'litter'. Whereas an annotation is a label with a more detailed description or explanatory point. For example, 'Large amounts of litter near to a playground where there are no bins available.

Rural Environment Enquiry Data Presentation

  • Data presentation can take many forms

Primary Data 

  • Much of the primary data collected in a rural environment enquiry will be presented in the form of graphs:

    • Each type of graph is suitable for particular data sets 

    • The graphs may have strengths and limitations

Bar graphs 

  • One of the simplest methods to display discrete data 

  • Bar graphs are useful for:

    • Comparing classes or groups of data

    • Changes over time

Strengths

Limitations

Summarises a large set of data 

Requires additional information

Easy to interpret and construct

Does not show causes, effects or patterns

Shows trends clearly

Can only be used with discrete data

bar-graph

Compound or divided bar chart

  • The bars are subdivided to show the information, with all bars totalling 100%

  • The main use of a divided bar chart is to compare numeric values between levels of a variable such as time

Strengths

Limitations

Easier to compare the changes in sections

Difficult to identify changes

 

Difficult to work out the measurement of each section

 

Accurate construction of the graph is difficult

compound-bar-chart

Rose diagrams

  • Use multidirectional axes to plot data with bars

  • Compass points are used for the axis direction

  • Can be used for data such as wind direction, noise or light levels

rose-diagram

Wind Direction Shown on a Rose Diagram

Scatter graph

  • Points should not be connected

  • The best fit line can be added to show the relations

  • Used to show the relationship between two variables

    • In a river study, they are used to show the relationship between different river characteristics such as the relationship between the width and depth of the river channel

Strengths

Limitations

Clearly shows data correlation

Data points cannot be labeled

Shows the spread of data

Too many data points can make it difficult to read

Makes it easy to identify anomalies and outliers

Can only show the relationship between two sets of data

scattergraph

Proportional symbols map

  • The symbols on the map are drawn in proportion to the variable represented

  • Usually, a circle or square is used but it could be an image

  • Can be used to show a range of data, for example, population, wind farms and electricity they generate, traffic or pedestrian flows

Strengths

Limitations

Illustrates the differences between many places

Not easy to calculate the actual value

Easy to read

Time-consuming to construct

Data is specific to particular locations

Positioning on a map may be difficult, particularly with larger symbols

proportional-circle-map

Proportional Circles Map Showing GDP (Billion US$) across Europe

Worked Example

A group of students collected data to investigate changes in the rural settlement of Ambleside

The students produced a divided bar chart to show the flow of traffic

State one limitation of using divided bar charts to present this data

(1)

Answer:

  • Any of the following answers would be awarded one mark

    • Difficult to identify changes (1)

    • Difficult to work out actual percentages (1)

    • Difficult to compare differences between data sets (1)

    • Just shows percentage, rather than raw data (1)

    • Difficult to construct accurately (1)

Examiner Tips and Tricks

In the exam, you will not be asked to draw an entire graph. However, it is common to be asked to complete an unfinished graph using the data provided. You may be asked to identify the highest or lowest score or an anomalous result. When completing a graph:

  • Take your time to ensure that you have marked the data on to the graph accurately

  • Use the same style as the data which has already been put on the graph:

    • Bars on the graph should be the same width

    • If the dots on the graph are connected by a line then you should do the same

Secondary Data

  • Any fieldwork should include secondary data as well as primary data

  • In a rural environment enquiry suitable data may include:

    • Historical traffic counts

    • Maps of the area where the land use change has occurred

    • Newspaper articles/websites about the land use change

    • Aerial photographs

Analysis

  • Once all the data has been collected and presented, it needs to be analysed

  • The data which is collected regarding rural environment change such as environmental quality surveys and traffic counts is quantitative data and will be analysed using statistical methods

  • One of the main statistical methods that may be used is the mean

Conclusion

  • Once the data has been analysed, conclusions can be reached

  • The conclusion should state whether the hypothesis has been proved or disproved 

  • Identify and explain any anomalies, such as:

    • A sample site that has a low traffic count but high levels of noise pollution

  • Anomalies may occur due to a natural cause or maybe the result of incorrect recording or human error when using the equipment

Evaluation

  • The final stage of the rural environment enquiry is the evaluation, which outlines how successful or not the rural environment enquiry was and what could be done differently were it to be repeated. For example:

    • Next time, I would take measurements over a longer period of time to ensure the reliability of the data

    • I completed the environmental survey on my own, which is subjective; next time I would complete it in groups and take the mode score

    • I think my investigation went well and I would like to repeat it at another time of year to see if this impacts the environmental quality

Examiner Tips and Tricks

The higher mark questions in the fieldwork part of the exam paper are often an evaluation of your enquiry or of unfamiliar fieldwork. The evaluation could be regarding data collection, analysis or your conclusion. The key factors to remember to include in your answer are:

  • What went well: how do you know that your results were accurate and therefore valid?

  • Is the enquiry reliable: Could it be repeated and the same results achieved?

  • What could have been improved?

  • What would you do if you were to repeat the enquiry?


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Bridgette Barrett

Author: Bridgette Barrett

Expertise: Geography Lead

After graduating with a degree in Geography, Bridgette completed a PGCE over 25 years ago. She later gained an MA Learning, Technology and Education from the University of Nottingham focussing on online learning. At a time when the study of geography has never been more important, Bridgette is passionate about creating content which supports students in achieving their potential in geography and builds their confidence.

Jenna Quinn

Author: Jenna Quinn

Expertise: Head of New Subjects

Jenna studied at Cardiff University before training to become a science teacher at the University of Bath specialising in Biology (although she loves teaching all three sciences at GCSE level!). Teaching is her passion, and with 10 years experience teaching across a wide range of specifications – from GCSE and A Level Biology in the UK to IGCSE and IB Biology internationally – she knows what is required to pass those Biology exams.