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O Level Geography Practice Paper 2
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TuitionGoWhere Practice Paper - Geography O-Level
TuitionGoWhere Practice Paper (AI)
Version: 2 of 5
Subject: Geography (2279)
Level: O-Level
Paper: Practice Paper – Map, Graph & Data Skills
Duration: 1 Hour
Total Marks: 40
Name: __________________________
Class: __________________________
Date: __________________________
Instructions to Candidates
- Write your Name, Class, and Date in the spaces provided.
- Answer all questions.
- The number of marks is given in brackets [ ] at the end of each question or part question.
- You may use a calculator for any calculations.
- Sketch maps and diagrams should be drawn whenever they serve to illustrate your answer.
- This paper focuses on Map, Graph, and Data Skills (AO2). It is designed to test your ability to interpret, analyze, and evaluate geographical data.
Section A: Map Skills and Spatial Analysis
Study the extract of a hypothetical coastal region "Bayview" (Fig. 1) and answer Questions 1–5.
Fig. 1: Extract of Bayview Coastal Region (Scale 1:25,000) (Note: Imagine a standard topographical map extract showing a coastline, a river mouth, contour lines indicating hills to the north, a settlement 'Port Bay', and a mangrove forest to the east. Grid references are provided.)
1. Give the six-figure grid reference for the lighthouse located on the headland at the western edge of the map extract. [1]
Answer: __________________________
2. Measure the straight-line distance in kilometers between the bridge at Grid Reference 452 681 and the school at Grid Reference 478 695. [1]
Answer: __________________________ km
3. Describe the relief (height and slope) of the land in Grid Square 4466. [2]
4. Using evidence from the map, suggest two reasons why the settlement of 'Port Bay' developed at its current location. [2]
Reason 1: _______________________________________________________________
Reason 2: _______________________________________________________________
5. Calculate the bearing of the Hospital (Grid Ref 460 690) from the Post Office (Grid Ref 455 685). [2]
Answer: __________________________ °
Section B: Graphical Representation and Interpretation
Study Fig. 2, which shows the monthly rainfall and temperature data for Station A, and Fig. 3, which shows visitor numbers to a National Park.
Fig. 2: Climate Data for Station A
| Month | J | F | M | A | M | J | J | A | S | O | N | D |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Temp (°C) | 26 | 27 | 28 | 29 | 28 | 27 | 26 | 26 | 27 | 27 | 27 | 26 |
| Rainfall (mm) | 240 | 210 | 180 | 150 | 120 | 100 | 90 | 110 | 140 | 190 | 230 | 250 |
Fig. 3: Visitor Numbers to Green Valley National Park (2023-2024) (Imagine a dual-axis bar/line graph. Bars represent Visitor Numbers (thousands), Line represents Average Daily Temperature.)
- Jan: 15k visitors, 25°C
- Apr: 25k visitors, 22°C
- Jul: 45k visitors, 18°C
- Oct: 30k visitors, 20°C
- Dec: 20k visitors, 24°C
6. Calculate the annual range of temperature for Station A. [1]
Answer: __________________________ °C
7. Describe the pattern of rainfall distribution throughout the year for Station A. [2]
8. Suggest the most appropriate type of graph to display the monthly rainfall data for Station A if the goal is to compare the volume of rain between months. Give a reason for your choice. [2]
Graph Type: __________________________
Reason: __________________________________________________________________
9. With reference to Fig. 3, describe the relationship between average daily temperature and visitor numbers. [2]
10. The park management wants to display the proportion of total annual visitors that came in each quarter (Jan-Mar, Apr-Jun, etc.). Suggest a suitable graph type and explain why it is appropriate for this specific purpose. [2]
Graph Type: __________________________
Explanation: _____________________________________________________________
Section C: Statistical Analysis and Fieldwork Data
Students conducted a fieldwork investigation into river quality. They collected data on water velocity and pollution levels at five sites downstream from a factory.
Table 1: River Data Collection Results
| Site | Distance from Source (km) | Velocity (m/s) | Pollution Index (1-10, 10=High) |
|---|---|---|---|
| 1 | 2.0 | 0.4 | 2 |
| 2 | 5.0 | 0.6 | 3 |
| 3 | 8.0 | 0.9 | 8 |
| 4 | 11.0 | 1.1 | 7 |
| 5 | 14.0 | 1.3 | 4 |
11. Calculate the mean velocity of the river across the five sites. Show your working. [2]
Working:
Answer: __________________________ m/s
12. Identify the anomaly in the Pollution Index data and suggest a possible reason for this result. [2]
Anomaly: Site ______
Reason: _________________________________________________________________
13. The students plotted Velocity against Distance from Source. Describe the trend shown by this data. [2]
14. Evaluate the reliability of the Pollution Index data collected at Site 3. Consider the method of data collection (visual observation of debris) in your answer. [3]
15. Suggest one improvement to the sampling strategy that would make the conclusions about river pollution more valid. [1]
Section D: Source-Based Data Evaluation
Study Fig. 4, a photograph of a urban heat island effect measurement exercise, and Fig. 5, a table of results.
Fig. 4: Photograph Description Students are using digital thermometers to measure air temperature at 1.5m height in three locations: a concrete car park, a grassy park, and a wooded area. It is 2:00 PM on a sunny day.
Fig. 5: Temperature Results (°C)
| Location | Reading 1 | Reading 2 | Reading 3 | Mean |
|---|---|---|---|---|
| Car Park | 32.0 | 32.5 | 31.8 | 32.1 |
| Park | 28.0 | 27.5 | 28.2 | 27.9 |
| Woods | 26.0 | 26.2 | 25.8 | 26.0 |
16. Why did the students take three readings at each location instead of just one? [1]
17. Calculate the temperature difference between the Car Park and the Woods. [1]
Answer: __________________________ °C
18. Explain how the surface materials in the Car Park contribute to the higher temperature recorded compared to the Woods. [2]
19. The students concluded that "Urban areas are always hotter than rural areas." Critique this conclusion based on the data provided in Fig. 5. [2]
20. Suggest one additional variable that should have been controlled during this investigation to ensure the results were comparable. [1]
END OF PAPER
Answers
TuitionGoWhere Practice Paper - Geography O-Level (Answer Key)
Version: 2 of 5
Subject: Geography (2279)
Topic: Map, Graph & Data Skills
Section A: Map Skills and Spatial Analysis
1. Grid Reference
Answer: 442 684 (Accept 441-443 683-685 depending on precise map interpretation, but standard answer key assumes specific point).
Marking Note: 1 mark for correct 6-figure reference. First 3 digits for Easting, last 3 for Northing.
2. Distance Measurement
Answer: Approx 3.4 – 3.6 km.
Marking Note: 1 mark for correct measurement within tolerance (±0.1 km). Students must use the scale bar or grid squares (1km x 1km).
3. Relief Description
Answer:
- The land is hilly/steep.
- Height ranges from approx 50m to over 100m (contours are close together).
Marking Note: 1 mark for describing height/elevation, 1 mark for describing slope/gradient (close contours = steep).
4. Settlement Location Reasons
Answer: Any two of:
- Protected natural harbor/bay (sheltered from waves).
- Flat land available for construction (contours are sparse).
- Access to water/river for transport or fresh water.
- Junction of transport routes (if roads visible).
Marking Note: 1 mark per valid reason supported by map evidence.
5. Bearing Calculation
Answer: Approx 030° – 040°.
Marking Note: 1 mark for correct method (drawing North line at Post Office), 1 mark for accurate measurement. Accept ±3°.
Section B: Graphical Representation and Interpretation
6. Annual Temperature Range
Answer: 3°C (29°C - 26°C).
Marking Note: 1 mark for correct calculation.
7. Rainfall Pattern
Answer:
- Rainfall is high throughout the year (no dry month).
- There is a slight decrease in the middle of the year (June/July) and higher rainfall at the start and end of the year.
Marking Note: 1 mark for identifying high annual total/consistency, 1 mark for noting the specific dip/peak pattern.
8. Graph Type Suggestion
Answer:
- Graph Type: Bar Graph.
- Reason: Bar graphs are best for comparing discrete categories (months) or showing magnitude of data (volume) clearly.
Marking Note: 1 mark for "Bar Graph", 1 mark for valid reason (comparison/discrete data). Line graphs are acceptable if justified as showing trend, but Bar is preferred for rainfall volume comparison.
9. Relationship Description
Answer:
- There is a negative/inverse relationship.
- As temperature decreases (e.g., in July), visitor numbers increase.
Marking Note: 1 mark for identifying the inverse relationship, 1 mark for supporting with data reference (e.g., coolest month has highest visitors).
10. Proportion Graph Suggestion
Answer:
- Graph Type: Pie Chart.
- Explanation: Pie charts are specifically designed to show parts of a whole (proportions/percentages) clearly.
Marking Note: 1 mark for "Pie Chart", 1 mark for explanation referencing "parts of a whole" or "proportions".
Section C: Statistical Analysis and Fieldwork Data
11. Mean Velocity
Answer: 0.86 m/s.
Working: (0.4 + 0.6 + 0.9 + 1.1 + 1.3) ÷ 5 = 4.3 ÷ 5 = 0.86.
Marking Note: 1 mark for correct sum, 1 mark for correct division/answer.
12. Anomaly Identification
Answer:
- Anomaly: Site 3 (or Site 4, but Site 3 is the peak).
- Reason: Possible illegal dumping at that specific spot, or measurement error, or a tributary entering with polluted water.
Marking Note: 1 mark for identifying Site 3 (highest pollution despite being mid-stream), 1 mark for plausible reason.
13. Trend Description
Answer:
- Positive correlation.
- As distance from source increases, velocity increases.
Marking Note: 1 mark for direction of correlation, 1 mark for describing the variables' relationship.
14. Reliability Evaluation
Answer:
- The data may be unreliable because "visual observation" is subjective.
- Different students might interpret "debris" differently.
- It lacks precision compared to chemical testing.
- However, taking multiple samples could improve it (but the prompt implies single visual check).
Marking Note: 1 mark for identifying subjectivity/qualitative nature, 1 mark for explaining impact on reliability, 1 mark for valid judgment (e.g., "low reliability due to lack of standardization").
15. Sampling Improvement
Answer:
- Increase sample size (more sites).
- Repeat data collection at different times/days.
- Use standardized water testing kits instead of visual observation.
Marking Note: 1 mark for any valid methodological improvement.
Section D: Source-Based Data Evaluation
16. Multiple Readings
Answer: To calculate a mean/average and reduce the impact of anomalies/random errors.
Marking Note: 1 mark for referencing accuracy/reliability/mean calculation.
17. Temperature Difference
Answer: 6.1°C (32.1 - 26.0).
Marking Note: 1 mark for correct calculation.
18. Surface Material Explanation
Answer:
- Concrete/asphalt has low albedo (absorbs more solar radiation).
- Concrete has high thermal capacity/conductivity, storing heat and releasing it.
- Lack of vegetation means no cooling from evapotranspiration.
Marking Note: 1 mark for absorption/albedo reference, 1 mark for lack of vegetation/evapotranspiration.
19. Conclusion Critique
Answer:
- The conclusion is too general/absolute ("always").
- The data only shows one point in time (2:00 PM) and one day.
- Temperatures might differ at night or in different seasons.
- Only three locations were tested, which is not representative of all urban/rural areas.
Marking Note: 1 mark for identifying the generalization error, 1 mark for referencing limited data scope (time/sample).
20. Controlled Variable
Answer:
- Time of day (already controlled, but could mention "same time").
- Height of thermometer (controlled at 1.5m).
- Weather conditions (sunny/windy).
- Shade vs. direct sunlight exposure.
Marking Note: 1 mark for any valid variable that affects temperature measurement (e.g., "Ensure all thermometers were in direct sunlight" or "Shielded from wind").