Welcome to Fieldwork: Processing and Presenting Data
Hello and welcome! In your CCEA GCSE Geography course, Unit 3 (Fieldwork) is worth 20% of your total GCSE grade. In the 1-hour written exam, you will be asked about your own fieldwork investigation as well as "unseen" fieldwork scenarios where you have to complete, interpret, or evaluate data presentation methods.
Once you collect numbers and notes out in the field, you cannot just leave them in a messy notebook. You need to process them (calculate averages or percentages) and present them (draw graphs and maps) so patterns become clear. Let's break down everything you need to know step-by-step!
1. Key Definitions & Types of Data
Before you draw a single graph, you must know what kind of information you are dealing with.
• Primary Data: Data that you collect yourself first-hand in the field.
Examples: Measuring river depth with a ruler, counting traffic at an intersection, or timing river flow with a flowmeter.
• Secondary Data: Data collected by someone else that you use to support your investigation.
Examples: Historical flood maps from a textbook, Met Office weather records, or census data.
• Data Processing: Organising, simplifying, or calculating raw numbers before drawing graphs. This includes calculating totals, finding averages like the mean or median, or converting counts into percentages.
• Anomaly: A single result or data point that does not fit the general pattern or trend shown by the rest of the data.
Analogy to remember: Think of raw data like raw ingredients in a kitchen. Data processing is chopping and cooking the food, and data presentation is plating it up nicely so everyone can enjoy and understand it!
Key Takeaway:
Always distinguish between what you collected yourself (primary) and what you looked up (secondary). Raw data must be processed before it can be effectively shown in a chart or map.
2. Graphical Presentation Methods
Choosing the right graph is one of the most important skills in Unit 3. Examiners will test whether you know which graph to choose and why.
A. Bar Charts
Best used for: Discrete categories (separate groups with no in-between values).
Fieldwork example: Showing the number of different types of vehicles (cars, buses, lorries) recorded during a traffic count.
Why choose it? It makes comparing different categories simple and visually clear.
B. Line Graphs
Best used for: Continuous data (numbers that change smoothly over time or distance).
Fieldwork example: Showing how air temperature changes every hour during the day, or river depth across a transect.
Why choose it? It clearly displays continuous trends, rises, and falls over time or distance.
C. Pie Charts
Best used for: Proportions of a whole (percentages that add up to \(100\%\)).
Fieldwork example: Showing the percentage breakdown of different land uses in a town centre (retail, residential, commercial).
Why choose it? Gives an immediate visual sense of how a single whole is divided up.
Watch out: Pie charts are hard to compare against each other if you have many different survey sites.
D. Scatter Graphs
Best used for: Showing relationships or correlations between two different variables.
Fieldwork example: River velocity plotted against distance downstream to test a hypothesis.
Why choose it? It allows you to draw a line of best fit to see if there is a positive, negative, or no correlation, proving or disproving your hypothesis.
Memory Trick for Graph Choice:
Bar = Blocks of separate categories (discrete).
Line = Linked continuous measurements.
Pie = Parts of a whole (\(100\%\)).
Scatter = Spotting relationships between two variables.
Key Takeaway:
Never use a line graph for separate categories (like rock types), and never use a pie chart unless the data represents parts of a complete total (\(100\%\)).
3. Cartographic (Map-Based) Presentation Methods
Geography is all about location! When data is linked to specific places, cartographic methods (maps) are much better than standard graphs.
A. Proportional Symbols
What it is: Symbols (often circles or squares) placed onto a base map where the size of the symbol is proportional to the value at that location.
Fieldwork example: Drawing larger circles at busy pedestrian count sites and smaller circles at quiet sites.
Advantage: Allows immediate visual comparison of quantities across different geographical locations on one map.
B. Choropleth Maps
What it is: Maps that use different shades or colours to represent different ranges of values within defined areas (e.g., darker shades for higher values).
Fieldwork example: Showing housing quality scores or environmental quality survey (EQS) scores across different zones of a settlement.
Advantage: Easy to see broad spatial patterns and contrasts between areas at a glance.
C. Isoline Maps
What it is: Maps with lines connecting points of equal value.
Fieldwork example: Contour lines showing equal relief (height), or isobars showing equal atmospheric pressure.
Advantage: Shows smooth continuous spatial changes without artificial boundaries.
D. Flow-line Maps
What it is: Arrows or lines that show movement between places, where the width or thickness of the line represents the volume of movement.
Fieldwork example: Traffic counts showing the volume and direction of vehicles entering and leaving a town centre.
Advantage: Clearly shows both the direction and the volume of movement in a single graphic.
Key Takeaway:
Cartographic methods display where patterns happen. Pick proportional symbols for point data, choropleth maps for area data, isolines for continuous values, and flow lines for movement.
4. Hand-Drawn vs. ICT-Based Presentation
In the Unit 3 exam, you may be asked to evaluate whether presenting data using ICT (like spreadsheet software) is better than hand-drawing.
Hand-Drawn Presentation
Strengths: Does not require special software or computers; allows complete control over unique layouts and custom scales.
Weaknesses: Time-consuming; errors require erasing or starting over; can look messy if not drawn with great care.
ICT-Based Presentation
Strengths: Fast and produces neat, professional-looking graphs; calculations and charts can be updated instantly if data changes.
Weaknesses: Automatic scaling by software can sometimes distort data or misrepresent trends; students must know how to choose the correct chart type manually rather than relying on computer defaults.
Did You Know?
Don't assume ICT is always superior in exam answers! Mentioning that automatic computer scales can sometimes create misleading axes is a great way to show high-level critical thinking.
5. Golden Rules for Graph Completion in the Exam
CCEA exam papers frequently include a "Complete the graph" question. Follow these non-negotiable rules to secure full marks:
1. Title: Make sure the graph has a clear, descriptive title stating what data is shown and where it was collected.
2. Axes and Units: Both the horizontal and vertical axes must be clearly labeled. Always include the units of measurement in brackets, e.g., Distance downstream (m) or Velocity (m/s), not just Distance or Speed.
3. Key / Legend: If your graph uses multiple bars, symbols, or colours, always provide an accurate key.
4. Accuracy: Plot points with a sharp pencil. Examiners allow a very small tolerance (typically \(\pm 1\text{ mm}\)), so take your time and check your scale carefully.
6. Spotting Anomalies and Common Pitfalls
How to Handle Anomalies
When looking at a scatter graph or data table, always check if one point sits far away from the line of best fit or general trend.
• In the exam, identify the exact value of the anomaly (e.g., "At Site 4, the pebble size was \(12\text{ cm}\), which was much larger than expected").
• Offer a sensible geographical or practical reason (e.g., human error in measurement, or local bank collapse dropping a large rock into the river).
Top 5 Pitfalls to Avoid:
1. Missing Units on Axes: Writing "Time" instead of "Time (minutes)" loses easy marks.
2. Inappropriate Graph Types: Drawing a continuous line graph for discrete data (like rock categories).
3. Forgetting the Key: Leaving out a key on a comparative bar chart or choropleth map.
4. Ignoring Anomalies: Describing only the general trend and ignoring obvious odd results.
5. Vague Evaluations: Saying "It is clear" instead of explaining why (e.g., "The proportional circles allow direct visual comparison of pedestrian density between different survey sites on a single base map").
Quick Review Checklist
Before sitting your Unit 3 exam, make sure you can:
• Define primary data, secondary data, data processing, and an anomaly.
• Justify when to use a bar chart, line graph, pie chart, or scatter graph.
• Identify and explain four cartographic techniques: proportional symbols, choropleth maps, isoline maps, and flow-line maps.
• Evaluate the pros and cons of hand-drawn vs. ICT-based graphs.
• Accurately plot points within \(\pm 1\text{ mm}\) and include full titles, keys, and axes with units.