Welcome to Fieldwork Enquiry Skills!

Geography isn't just about reading books and looking at maps in a classroom. It is a "living" subject, and fieldwork is where the magic happens! Fieldwork is the process of going outside to observe the real world, collect data, and try to answer geographical questions. Whether you are investigating how a river changes downstream or how busy a high street is, the enquiry process remains the same.

In your Paper 3 exam, you will be asked about your own individual fieldwork and how you would handle fieldwork in "unfamiliar contexts" (places you haven't visited). These notes break down the six essential steps of any geographical enquiry.


Step 1: Planning Your Enquiry

Every great investigation starts with a plan. You can't just walk outside and start measuring things! You need a focus.

Selecting a Question or Hypothesis

You start with an enquiry question (e.g., "How does coastal management affect the beach?") or a hypothesis. A hypothesis is a statement that you can prove right or wrong, such as: "The size of pebbles will decrease as we move further away from the cliff."

Underpinning Theory

Before you go out, you must understand the "why." If you are studying a river, you need to know the theory of Long Profiles. If you are studying a city, you might look at Urban Land Use models. This helps you predict what you might find.

Risk Assessment

Safety first! Geographers must identify hazards (things that could cause harm) and risks (the chance of that harm happening). For example:

  • Hazard: Slippery rocks by a river.
  • Risk: Falling and getting injured.
  • Management: Wear sturdy boots with good grip and work in pairs.

Quick Review: A good enquiry starts with a clear question, a bit of geographical theory, and a solid plan to stay safe!


Step 2: Collecting Data

Now it's time to gather your evidence. There are two main types of data you need to know:

  1. Primary Data: Information you collect yourself (e.g., counting pedestrians, measuring pebble sizes).
  2. Secondary Data: Information someone else has already collected (e.g., census data, old maps, weather reports from the internet).
Sampling Methods

You usually can't measure everything. If you want to know what shoppers think, you can't interview all 10,000 people in the mall! Instead, you use sampling:

  • Random Sampling: Every person or place has an equal chance of being picked (like drawing names from a hat).
  • Systematic Sampling: You collect data at regular intervals (e.g., every \(10^{th}\) person you see, or every \(50\) meters along a beach).
  • Stratified Sampling: You divide the group into sub-groups (e.g., making sure you interview equal numbers of people in different age groups so the data is fair).

Top Tip: In the exam, you might be asked to justify your sampling. Systematic sampling is great because it avoids "person bias" (where you only talk to people who look friendly!).


Step 3: Processing and Presenting Data

Once you have a notebook full of numbers, you need to make them easy to read. This is where your graphical skills come in.

Common ways to present data include:

  • Bar charts and Line graphs: For simple comparisons or changes over time.
  • Pie charts: To show percentages or proportions of a whole.
  • Scattergraphs: To see if two things are related (e.g., does the river get deeper as it gets wider?).
  • Choropleth maps: Shading areas in different colours to show different values.

(Note: For more details on how to draw these, check out the "Graphical Skills" chapter!)


Step 4: Describing and Analysing Data

This is where you explain what your graphs are actually telling you. Don't worry if this seems tricky at first; just follow these three steps:

1. Describe the Pattern

What do you see? Is the line going up or down? Are the bars getting taller? Use data points (numbers) from your graphs to back up what you say.

2. Identify Anomalies

An anomaly is a piece of data that does not fit the general pattern. For example, if every pebble on the beach is small, but you find one massive rock, that is an anomaly! You should always point these out.

3. Explain the Links

Why did you get these results? Use your geographical knowledge to explain the "why." "The pebbles are smaller here because of attrition, where they crash into each other and break into smaller pieces."


Step 5: Reaching Conclusions

Your conclusion should refer back to your original enquiry question or hypothesis. You need to state clearly whether your hypothesis was:

  • Confirmed: The data showed you were right.
  • Partially confirmed: It was mostly right, but there were some exceptions.
  • Rejected: The data showed the opposite of what you expected.

Key Takeaway: Always use your evidence (numbers and facts from your study) to support your final answer.


Step 6: Evaluating the Enquiry

No fieldwork is perfect! Evaluation is about being a "critic" of your own work. You need to look at:

  • Data collection problems: Did it rain? Was the equipment broken? Was there a traffic jam that messed up your count?
  • Data limitations: Did you have enough data? Was your sample size too small? (e.g., asking \(5\) people is less reliable than asking \(50\) people).
  • Reliability: If you did the study again tomorrow, would you get the same results? If the answer is "maybe not," then your reliability might be low.

Did you know? Admitting that your data might be slightly wrong actually gets you more marks in Geography! It shows you are thinking like a scientist.


Common Mistakes to Avoid

1. Confusing "Primary" and "Secondary": Remember: Primary is Personal (you did it). Secondary is Second-hand (someone else did it).

2. Forgetting to use numbers: In exam answers, never just say "it increased." Say "it increased by \(25\%\), from \(40\) to \(50\)."

3. Ignoring anomalies: Don't pretend the "weird" data isn't there. Mention it and try to guess why it happened!

Final Tip for Paper 3: When the exam asks about your individual fieldwork, make sure you know your Enquiry Title and the Location of your study perfectly! You will need to write them down at the start of Section C.