Section B: Fieldwork study guide

Fieldwork Enquiries – AQA GCSE Geography 8035

1. Introduction

Fieldwork is the heart of the Geography curriculum. It allows you to collect primary data that can be analysed, interpreted and presented to answer real‑world questions. For the AQA GCSE Geography 8035 specification, you must carry out two distinct enquiries – one in a physical environment and one in a human environment – and link each enquiry clearly to the relevant content from units 3.1 (Physical Geography) and 3.2 (Human Geography). This guide walks you through every step, from selecting a question to evaluating your conclusions, while keeping the specification’s learning objectives in focus.

2. Planning Your Enquiries

2.1 Selecting a Question or Hypothesis

• Relevance – The question must be answerable with field data and relate to a concept from units 3.1 or 3.2.
• Clarity – Use a clear, testable hypothesis or enquiry question. For example:
• *Physical:* "Does the slope of a hill affect the speed of a rolling ball?"
• *Human:* "How does the proximity of a school to a busy road influence students’ commute times?"
• Feasibility – Ensure you can access the site, have the necessary equipment, and can conduct the work safely.

2.2 Linking to Subject Content

• Physical Geography (Unit 3.1) – Concepts such as *topography*, *water cycle*, *soil erosion* or *climate* should underpin your physical enquiry.
• Human Geography (Unit 3.2) – Themes like *population distribution*, *urbanisation*, *transport* or *economic activity* should inform your human enquiry.

2.3 Choosing Locations

• Contrast – Pick two sites that differ markedly: e.g., a coastal cliff (physical) and a suburban neighbourhood (human).
• Risk Assessment – Identify hazards (e.g., uneven ground, traffic, weather) and plan mitigation measures (e.g., wearing safety shoes, using a traffic light, checking weather forecasts).

3. Conducting Fieldwork

3.1 Sampling Methods

| Sampling Type | When to Use | Example | |---------------|-------------|---------| | Random | To avoid bias in large areas | Randomly select 10 points along a riverbank to measure water quality | | Systematic | When a regular pattern is needed | Measure temperature every 5 m along a trail | | Convenience | When time or access is limited | Record foot traffic at a popular café |

3.2 Data Collection Techniques

| Data Type | Tool | Accuracy Considerations | |-----------|------|--------------------------| | Physical | GPS, clinometer, thermometer, soil pH meter | Calibrate before use; record multiple readings | | Human | Structured interview, observation checklist, questionnaire | Pilot test questions; ensure anonymity |

3.3 Recording and Notation

• Use a field notebook or digital device.
• Record date, time, weather, and location coordinates.
• Note any anomalies (e.g., unexpected readings, equipment failure).
• Keep a risk log – any incidents or near‑misses should be documented.

4. Data Analysis

4.1 Visual, Graphical and Cartographic Presentation

• Maps – Use a base map and overlay your data points. Show scale, legend and north arrow.
• Graphs – Scatter plots for relationships (e.g., slope vs. speed), bar charts for categorical data (e.g., number of students using different transport modes).
• Tables – Summarise raw data before further analysis.

4.2 Statistical Techniques

| Technique | Purpose | Example | |-----------|---------|---------| | Mean | Central tendency of numerical data | Average commute time | | Standard Deviation | Measure of spread | Variation in soil pH | | Correlation Coefficient | Strength of linear relationship | Slope steepness vs. erosion rate |

4.3 Identifying Anomalies

• Compare data points to expected ranges.
• Investigate outliers – are they measurement errors or genuine phenomena?
• Document any anomalies and consider their impact on conclusions.

5. Interpreting Results

5.1 Linking to Theory

• Physical Enquiry – Relate findings to *gravity*, *friction*, or *water cycle* concepts. For example, a steeper slope increases gravitational potential energy, leading to faster ball speeds.
• Human Enquiry – Connect results to *transport theory*, *urban planning* or *population density*. For instance, longer commute times near busy roads may reflect traffic congestion and lack of alternative routes.

5.2 Drawing Evidenced Conclusions

• State whether the data support or refute the hypothesis.
• Use evidence from graphs, tables and statistical outputs.
• Avoid over‑generalisation – limit conclusions to the scope of your data.

6. Evaluating the Enquiry

6.1 Data Collection Problems

• Sampling bias – Did the sampling method skew results?
• Instrument error – Were devices calibrated?
• Environmental factors – Weather changes during the survey.

6.2 Data Limitations

• Sample size – Small numbers reduce reliability.
• Temporal scope – A single day may not capture seasonal variations.

6.3 Further Useful Data

• Suggest additional variables that could strengthen the enquiry (e.g., wind speed for erosion studies, or demographic data for transport studies).

6.4 Reliability of Conclusions

• Discuss how the identified problems and limitations affect confidence in the conclusions.
• Propose ways to mitigate these issues in future work.

7. Presentation and Reporting

• Structure your report with Introduction, Methodology, Results, Discussion, Conclusion, Evaluation.
• Use clear headings, consistent units and proper citation for secondary sources.
• Include a risk assessment and ethical considerations (e.g., consent for interviews).

8. Sample Enquiry Outline

8.1 Physical Enquiry – Soil Erosion on a Sloping Field

| Stage | Activity | |-------|----------| | Question | Does the slope angle influence soil erosion rates? | | Hypothesis | Steeper slopes will show higher erosion rates. | | Site | A 30 m long field with varying slopes (10°, 20°, 30°). | | Sampling | Measure soil loss at 5 m intervals using a sediment trap. | | Data | Soil mass (g), slope angle (°), rainfall (mm). | | Analysis | Plot erosion vs. slope; calculate correlation coefficient. | | Conclusion | Interpret whether data support the hypothesis. | | Evaluation | Discuss instrument precision, rainfall variability, and propose further studies. |

8.2 Human Enquiry – School Commute Times

| Stage | Activity | |-------|----------| | Question | How does distance to the nearest bus stop affect students’ commute times? | | Hypothesis | Students living farther from a bus stop have longer commute times. | | Site | A suburban neighbourhood with multiple bus stops. | | Sampling | Survey 30 students, recording home address, bus stop distance, and commute time. | | Data | Distance (m), time (min). | | Analysis | Scatter plot, calculate mean commute time per distance band. | | Conclusion | Evaluate the relationship and discuss urban planning implications. | | Evaluation | Consider sample representativeness, traffic conditions, and suggest additional data (e.g., walking speed). |

9. Key Take‑aways

1. Plan meticulously – a clear question, linked to curriculum content, and a realistic risk assessment are essential.
2. Collect primary data – use appropriate sampling methods and record all details.
3. Analyse rigorously – visualise data, apply statistical techniques, and identify anomalies.
4. Interpret with theory – link results back to physical or human geography concepts.
5. Evaluate critically – recognise limitations, suggest improvements, and assess conclusion reliability.

By following this structured approach, you will meet all the learning objectives for the Fieldwork topic and produce robust, evidence‑based geographical enquiries.

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Glossary

• Primary data – information collected directly by the researcher.
• Secondary data – information gathered from existing sources (e.g., maps, reports).
• Sampling – selecting a subset of a population for measurement.
• Correlation – a statistical measure that describes the strength of a relationship between two variables.
• Risk assessment – identifying potential hazards and planning mitigation.

10. Further Resources

• AQA GCSE Geography 8035 specification – Section B: Fieldwork.
• AQA’s *Fieldwork* guidance notes.
• UK government *Risk Assessment* templates for school projects.

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Good luck with your fieldwork!