Rural fieldwork enquiry

Introduction to Rural Fieldwork

Welcome to the guide on Rural Fieldwork Enquiry! This chapter is part of your Paper 2 (Human Geography) exam. In this section, you aren't just learning facts from a book; you are learning how to be a geographical detective. The focus of this specific enquiry is the changing use of rural environments. Whether you are looking at how a village is becoming a "commuter town" or how a farm is diversifying into a tourist campsite, fieldwork helps you see these changes in action.

Note: This chapter focuses specifically on the process of doing fieldwork. For the theory behind why rural areas change, see the chapter on "Rural characteristics and rural change".

Stage 1: Planning and Hypotheses

Before you head outside, you need a plan. Every enquiry starts with a hypothesis—a predictable statement that you can test to see if it's true or false.

Example Hypothesis: "The environmental quality of the village decreases as you move further away from the village green."

Sampling Strategies

You can’t ask every single person or measure every single blade of grass. You need to sample. There are three main ways to do this:

1. Random Sampling: Every person or place has an equal chance of being picked (like pulling names out of a hat). This avoids bias but might miss important areas.
2. Systematic Sampling: You pick points at regular intervals, for example, every \(100\) metres along a path or every \(5th\) person you meet. This ensures even coverage.
3. Stratified Sampling: You divide the area into groups (e.g., "old village" vs "new housing estate") and sample from both to make sure your data is representative.

Risk Assessment

Safety is vital. Before starting, you must identify risks and mitigations (how to stay safe).
Example: Risk = Getting lost in a remote field. Mitigation = Use a GIS topographic map and work in groups.

Stage 2: Collecting Primary Data

Primary data is information you collect yourself "in the field." The syllabus requires you to use both quantitative (numbers) and qualitative (descriptive) techniques.

Quantitative Techniques (The Numbers)

Environmental Quality Survey (EQS): You use a scale (e.g., \(-3\) to \(+3\)) to judge things like litter, noise, and greenery. This turns your "feeling" about a place into a number that can be graphed.

Structured Questionnaires: You ask people closed questions (where they have to pick from a list of answers, like "Yes/No" or "Daily/Weekly"). This makes it easy to calculate a percentage or a mean later.

Qualitative Techniques (The Details)

Annotated Field Sketches: You draw a quick sketch of the landscape and add labels (annotations) to explain what is happening. For example, pointing out a farm shop as evidence of farm diversification.
Annotated Photographs: Similar to sketches, but you use a camera and label the print-out later to highlight geographical features.

Stage 3: Using Secondary Data

Secondary data is information someone else has already collected. You must use at least two different sources. These might include:

1. GIS Topographic Maps: To see how the shape of the village has grown over time.
2. Local Geology Maps: To see if the land use (like farming) is affected by the rock type.
3. Local Reports/Census Data: To check if the population is growing or if employment is changing from farming to services.

Stage 4: Data Presentation

Once you have your data, you need to make it visual. This helps you spot patterns.

Simple Graphs:
- Bar charts: Great for comparing different locations.
- Pie charts: Good for showing parts of a whole (e.g., types of land use).
- Line graphs: Useful for showing changes over distance or time.

Complex Graphs:
- Radial Graphs (Spider Diagrams): Used for Environmental Quality Surveys. The further the line is from the centre, the better the quality.
- Scatter Graphs: Used to see if there is a link (correlation) between two things, like "distance from the village centre" and "amount of traffic."
- Compound Bar Charts: A bar chart where each bar is split into different sections (e.g., a bar for "employment" split into primary, secondary, and tertiary sectors).

Map-based Presentation:
Using GIS (Geographic Information Systems) to plot your data points on a digital map. You might use choropleth maps (where areas are shaded in different colours) to show variations in house prices or population density.

Stage 5: Analysis and Conclusion

Now you ask: "What does this data actually tell me?"

Statistical Skills:
- Mean: The average. \( \text{Mean} = \frac{\text{Sum of all values}}{\text{Total number of values}} \)
- Range: The difference between the highest and lowest value.
- Anomalies: These are results that don't fit the pattern. If most areas are quiet but one is very noisy, why? (Maybe it's near a main road you didn't notice before!).

Conclusion: You state whether your hypothesis was correct or not. You must use evidence from your data to support your answer. Don't worry if your hypothesis was wrong! Finding out that something doesn't happen is still good geography.

Stage 6: Evaluation

This is where you reflect on your work. Evaluation is about honesty. Ask yourself:
- Was my sample size big enough? (If you only asked 2 people, your data isn't very reliable).
- Did the weather affect my results? (Rain might make people less likely to talk to you).
- How could I improve it? Maybe by visiting on different days of the week or using more precise equipment.

Quick Review Box:
- Primary data: You collected it (EQS, sketches, questionnaires).
- Secondary data: Others collected it (Maps, Census).
- Sampling: Random, Systematic, or Stratified.
- Paper 2, Section B: This is where you will answer 20 marks of questions on this fieldwork!

Common Mistakes to Avoid

1. Confusing Qualitative and Quantitative: Remember, numbers = quantitative.
2. Ignoring Anomalies: Don't pretend weird results don't exist. Explain them! Examiners love it when you notice an anomaly and suggest a reason for it.
3. Vague Evaluations: Don't just say "I could do better." Say "I would increase my sample size from \(10\) to \(50\) to make the results more representative."

Did you know? Using a GIS app on a smartphone to record your location data is one of the most accurate ways to do fieldwork today. It automatically links your photos to a specific latitude and longitude!