Welcome to the Geographical Enquiry Process!
Have you ever wondered how geographers actually "do" geography? It isn’t just about memorizing names of rivers or capital cities. It is about investigating the world around us using a specific set of steps called the Geographical Enquiry Process.
In your Pearson Edexcel International GCSE, you won’t submit a separate piece of coursework. Instead, you will be tested on your own fieldwork experience and your ability to handle "unseen" data in Section B of both Paper 1 (Physical Geography) and Paper 2 (Human Geography). This guide will walk you through the six essential stages of an enquiry, from the first idea to the final evaluation.
Note: For details on specific map skills or how to draw specific graphs, check out the other chapters in this section!
Stage 1: Preparation and Planning
Every great investigation starts with a plan. You can't just walk outside and start measuring things without knowing why!
Hypotheses and Key Questions
An enquiry usually starts with a hypothesis—this is a statement that you can test to see if it is true or false (e.g., "Sediment size decreases as you move downstream"). Sometimes, geographers use Key Questions instead (e.g., "How does the quality of the environment change as you move towards the city center?").
Risk Assessment
Geography happens in the real world, and the real world can be risky! Before heading out, you must identify potential hazards (things that could cause harm) and mitigation (ways to reduce the risk).
Quick Example:
Hazard: Slippery rocks by a river.
Risk: Falling and getting injured.
Mitigation: Wear sturdy boots with good grip and work in pairs.
Key Takeaway
Planning involves setting a clear goal (hypothesis) and making sure you stay safe (risk assessment).
Stage 2: Sampling Strategies
You usually can't measure every single pebble on a beach or talk to every person in a city. This is why we use sampling. There are three main types you need to know:
1. Random Sampling: Every person or place has an equal chance of being chosen. You might use a random number generator to pick coordinates on a map.
2. Systematic Sampling: You collect data at regular intervals. For example, measuring the depth of a river every \(0.5\) meters or stopping every \(10^{th}\) person for a questionnaire.
3. Stratified Sampling: You divide your "target" into groups (strata) to make sure everyone is represented. For example, if you are doing a survey in a village where \(60\%\) of people are retired, you make sure \(60\%\) of your survey results come from retired people.
Did you know? Using a larger sample size (e.g., measuring \(50\) pebbles instead of \(5\)) makes your results much more reliable and representative of the whole area!
Stage 3: Data Collection Techniques
For your exam, you need to show that you used both Primary and Secondary data, and both Quantitative and Qualitative techniques.
Primary vs. Secondary Data
Primary Data: Information you collect yourself in the field (e.g., measuring river velocity, conducting a questionnaire).
Secondary Data: Information collected by someone else (e.g., using GIS (Geographic Information Systems), looking at old OS maps, census data, or local geology reports).
Quantitative vs. Qualitative Data
Quantitative: Data involving numbers (e.g., the width of a river is \(4.2\) meters). This is easy to put into graphs.
Qualitative: Data involving words, opinions, or feelings (e.g., an annotated field sketch or a description of how "safe" a park feels). This gives "color" and depth to your research.
Quick Review
Primary: You did it.
Secondary: Someone else did it.
Quantitative: Numbers.
Qualitative: Descriptions/Opinions.
Stage 4: Data Processing and Presentation
Once you have your "raw" data (the messy notes in your clipboard), you need to organize it so people can understand it.
Processing the Data
You might need to calculate:
- Mean: The average (add them all up and divide by the number of items).
- Percentages: \(\frac{\text{part}}{\text{whole}} \times 100\).
- Tally charts: To count things quickly while in the field.
Presenting the Data
Choosing the right graph is vital! You might use:
- Simple Graphs: Bar charts, pie charts, or line graphs.
- Complex Graphs: Scatter graphs (to look for relationships), radial graphs (to show environmental quality), or proportional symbols on a map.
Common Mistake: Don't forget to label your axes! A graph without labels is just a bunch of lines that don't tell a story.
Stage 5: Analysis and Conclusions
This is where you play detective. You look at your graphs and ask: "What is this telling me?"
1. Identify Patterns: Is there a trend? (e.g., "As distance from the source increases, velocity also increases.")
2. Identify Links: Does one thing affect another? (e.g., "The areas with the most litter also had the lowest environmental quality scores.")
3. Draw a Conclusion: Look back at your hypothesis from Stage 1. Was it correct? Use your data to prove it.
Stage 6: Evaluation (The "Reflection")
This is the most important stage for getting top marks. Evaluation isn't about saying your work was perfect; it’s about being honest about what went wrong!
Reliability and Validity
- Anomalous Results: These are "weird" data points that don't fit the pattern. For example, if a river is usually shallow but you find one very deep hole, that is an anomaly. Did you measure it wrong, or is there a physical reason (like a plunge pool) for it?
- Limitations: What stopped your data from being perfect? (e.g., "We only visited the beach on one day," or "It was raining, so fewer people wanted to answer our questionnaire.")
- Improvements: If you did it again, what would you change? (e.g., "I would use a flow meter instead of a floating orange to measure river speed for more accuracy.")
Key Takeaway
Evaluation is like a post-match analysis in sports. You look at what worked, what didn't, and how to improve for next time.
Final Summary Checklist
When answering exam questions on your enquiry, remember to mention:
- Your Hypothesis (what were you testing?).
- Your Sampling method (Random? Systematic? Stratified?).
- Primary vs. Secondary data sources.
- Anomalies (those pesky data points that didn't fit).
- How you could make the study more reliable next time.
Don't worry if this seems like a lot of steps! Just remember that the enquiry process is a journey from a question to an answer, with a little bit of reflection at the end.