Welcome to Unit 2: Research and Fieldwork Skills!
Geography isn't just about reading books; it’s about getting your boots muddy and seeing the world for yourself! For your International A Level (IAS), you are required to complete at least two days of fieldwork. This fieldwork will focus on either Topic 1 (Crowded Coasts) or Topic 2 (Urban Problems, Planning and Regeneration).
In the Unit 2 exam, you will be asked about your own investigation (called "familiar" geography) and also be given data from a study you haven't seen before (called "unfamiliar" geography). These notes will guide you through the skills you need to master both!
1. The Enquiry Process: Step-by-Step
Every geographical investigation follows a logical cycle. Don't worry if it seems like a lot; it's just a way of staying organized!
Stage 1: The Big Idea (Planning)
Before you leave the classroom, you need a plan. This starts with an Enquiry Question or a Hypothesis.
Example: "Does coastal management at Beach X successfully prevent longshore drift?"
Risk Assessment: Safety is the most important part of planning. You must identify hazards (things that can cause harm, like slippery rocks or heavy traffic) and decide on mitigation (how to stay safe, like wearing sturdy boots or staying in groups).
Stage 2: Collecting Data (Methodology)
This is the fieldwork part! There are two main types of data you will collect:
Primary Data: Information you collect yourself (e.g., measuring beach pebbles or counting cars).
Secondary Data: Information someone else has already collected (e.g., using Google Maps, old census data, or weather reports from the internet).
Quick Review: Which is better? Both! Primary data is up-to-date, but secondary data helps you see how a place has changed over many years.
2. Mastering Sampling Techniques
You can't measure every single pebble on a beach or talk to every person in a city. That’s why geographers use sampling. Imagine you have a giant bowl of colorful sweets and want to know the most common color. You wouldn't count all of them—you'd take a sample!
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.
Pro: It is completely unbiased.
Con: You might accidentally miss an important area by chance.
2. Systematic Sampling: You collect data at regular intervals. For example, every 10 meters along a beach or every 5th person you meet.
Pro: It ensures you cover the whole study area evenly.
Con: You might miss something important that happens between your intervals.
3. Stratified Sampling: This is used when your study area has different "groups" or "layers." If a town is \(60\%\) residential and \(40\%\) industrial, your sample should reflect that same split.
Pro: It is very representative of the real world.
Con: You need to know a lot of background information before you start.
3. Data Types: Quantitative vs. Qualitative
In the exam, you'll need to know the difference between these two "Q" words:
Quantitative Data: This is all about numbers. If you can count it or measure it with a ruler, it’s quantitative. (e.g., "The wave frequency was \(8\) waves per minute.")
Benefit: It's easy to put into graphs and compare.
Qualitative Data: This is about qualities, opinions, and feelings. (e.g., Taking a photo of a coastal defense or asking a local resident, "How do you feel about the new shopping mall?")
Benefit: It gives you a deeper "sense of place" that numbers can't show.
4. Data Presentation and Analysis
Once you have your data, you need to show it off! Common methods include:
- Proportional Symbols: Circles on a map where a bigger circle means a higher value.
- Flow-line Maps: Arrows showing the movement of people or materials (the thicker the arrow, the more movement).
- Scatter Graphs: Used to see if there is a correlation (a link) between two things (e.g., Does sediment size increase as you move further along the coast?).
Important Tip: In the exam, always look for anomalies. An anomaly is a piece of data that doesn't fit the pattern. If most pebbles are \(2cm\) but you find one that is \(15cm\), ask yourself why! Did a storm move it there?
5. Conclusion and Evaluation
This is the final stage where you answer your original question. However, no fieldwork is perfect. This is where Evaluation comes in.
Common Fieldwork Problems:
- Sample size: Was it too small?
- Equipment error: Was the clinometer broken?
- Subjectivity: Did two different people score an "Environmental Quality Survey" differently because of their own opinions?
- Timing: Did it rain? Was it rush hour? Data can change depending on the time of day or season.
6. Exam Strategy: Sections B and C
Unit 2 is a bit different from other exams. Here is what to expect:
Section B (Familiar Geography): These questions are about YOUR fieldwork. You will need to describe what you did, why you chose your methods, and what you found.
Key Tip: Be specific! Mention the name of the place you visited and the specific equipment you used.
Section C (Unfamiliar Geography): The exam will provide a map, table, or graph from a study done by someone else in a different location. You will be asked to analyze their data or evaluate their methods.
Key Tip: Use the "PEEL" method (Point, Evidence, Explain, Link) to make sure your answers are detailed.
Key Takeaways
- Planning: Always include a risk assessment.
- Sampling: Choose between Random, Systematic, or Stratified based on your goals.
- Data: Use both Quantitative (numbers) and Qualitative (words/photos) for a better study.
- Evaluation: Be honest about what went wrong and how you could improve it next time.