What you'll learn
This guide covers all geographical skills and fieldwork requirements for WJEC GCSE Geography. You'll master essential techniques including map skills, data collection and presentation methods, statistical analysis, and fieldwork enquiry processes. These skills underpin both written examinations and your required fieldwork investigation, comprising approximately 20% of your final assessment.
Key terms and definitions
Sampling — The process of selecting a representative subset of a population or area to investigate, including random, systematic, and stratified approaches.
Field sketch — An annotated observational drawing of a landscape or feature made during fieldwork, showing key physical and human elements with labels.
Hypothesis — A testable statement or prediction about the relationship between geographical variables that guides fieldwork investigation.
Choropleth map — A thematic map using different shades or colours to represent data values across defined areas such as wards or countries.
Interquartile range (IQR) — A measure of statistical dispersion showing the range of the middle 50% of data, calculated as the difference between upper and lower quartiles.
Risk assessment — A systematic evaluation of potential hazards during fieldwork, identifying dangers and outlining measures to minimise them.
Primary data — Information collected directly by the researcher through fieldwork methods such as surveys, measurements, or observations.
Secondary data — Existing information obtained from sources created by others, including census data, maps, photographs, and published statistics.
Core concepts
Map skills and cartographic techniques
WJEC GCSE Geography requires proficiency with Ordnance Survey maps at 1:25,000 and 1:50,000 scales.
Four-figure and six-figure grid references identify locations precisely. Four-figure references locate a 1km square (e.g., 4532), whilst six-figure references pinpoint locations to 100m precision (e.g., 453328). Always read eastings first (along the corridor), then northings (up the stairs).
Scale and distance calculations convert map measurements to ground distances. For 1:50,000 maps, 2cm represents 1km. Use the formula: map distance × scale denominator = ground distance. A ruler or piece of string helps measure curved features like rivers.
Contour lines show relief and elevation. Lines close together indicate steep slopes; widely-spaced lines show gentle gradients. Spot heights and triangulation points provide exact elevations. Identify physical features: V-shaped contours pointing uphill show valleys; concentric circles indicate hills or depressions.
Direction and bearing use compass points and three-figure bearings measured clockwise from north (000°–360°). North is always toward the top of OS maps unless indicated otherwise.
Map symbols represent features at different scales. Know symbols for settlements, transport networks, vegetation, water features, and tourist attractions. The key explains all symbols used.
Cross-sections and transects illustrate relief along a line. Mark the highest and lowest points first, establish your vertical scale, then plot intermediate contour heights accurately.
Data collection methods
Questionnaires and surveys gather primary data about people's opinions, behaviours, or characteristics. Design clear, unbiased questions using:
- Closed questions for quantitative data (yes/no, multiple choice)
- Open questions for qualitative insights
- Likert scales for measuring attitudes (strongly agree to strongly disagree)
- Pilot surveys to test question clarity before full implementation
Environmental quality surveys assess places using numerical indices. Bipolar scales rate features like noise levels, cleanliness, or building quality from -3 (very poor) to +3 (very good). Total scores enable comparison between sites.
Pedestrian and traffic counts measure flow using tally charts. Use systematic sampling at regular time intervals (e.g., every 5 minutes) to ensure representative data across the day.
Physical measurements collect quantitative environmental data:
- River velocity using float method (distance ÷ time)
- River depth and width at cross-sections
- Sediment size using calipers or comparison charts
- Beach profiles using ranging poles and clinometers
- Infiltration rates using percolation tests
Photographic evidence provides qualitative records. Annotate photographs to identify geographical features and evidence of processes. Take repeat photographs from identical positions to show temporal change.
Sampling strategies determine how and where to collect data:
- Random sampling uses random number tables or coordinates to eliminate bias
- Systematic sampling collects data at regular intervals (every 5th person, every 100m)
- Stratified sampling proportionally represents sub-groups within the population
Data presentation techniques
Bar charts and histograms display discrete or continuous data. Bar charts have gaps between bars; histograms show continuous data with no gaps. Use consistent bar widths and appropriate scales. Compound/divided bars show subdivisions within categories.
Line graphs show trends over time or continuous relationships. Plot the independent variable on the x-axis and dependent variable on the y-axis. Best-fit lines show overall trends; do not force lines through every point unless showing actual change.
Pie charts display proportional data as percentage segments. Calculate each segment's angle: (value ÷ total) × 360°. Effective for showing composition but limited to datasets with fewer than seven categories.
Scatter graphs investigate relationships between two variables. Plot points precisely and add a best-fit line if correlation exists. Positive correlation shows both variables increasing together; negative correlation shows one decreasing as the other increases; no correlation shows random scatter.
Choropleth maps use colour/shade gradients to show spatial patterns. Group data into 4-6 classes using equal intervals, quartiles, or natural breaks. Darker shades conventionally represent higher values. Always include a clear key.
Flow lines and desire lines show movement between locations. Line thickness represents volume. Arrows indicate direction. Particularly useful for migration, traffic, or trade data.
Proportional symbols use circles, bars, or pictograms scaled to data values. Calculate circle radii using: radius = √(value ÷ π). Ensures area accurately represents the quantity.
Isolines join points of equal value (isotherms for temperature, isobars for pressure). Interpolate between known values and space lines consistently.
Statistical skills and analysis
Measures of central tendency summarise datasets:
- Mean = sum of all values ÷ number of values (affected by extreme values)
- Median = middle value when arranged in order (better for skewed data)
- Mode = most frequently occurring value
Measures of dispersion describe data spread:
- Range = highest value − lowest value (easily distorted by outliers)
- Interquartile range = upper quartile (Q3) − lower quartile (Q1) (represents middle 50%)
Percentages, decimals and fractions enable comparison. Calculate percentage change: (new value − original value) ÷ original value × 100.
Spearman's Rank Correlation tests the strength of relationships between two variables:
- Rank both datasets (1 = highest value)
- Calculate difference (d) between ranks for each pair
- Square each difference (d²)
- Sum all d² values
- Apply formula: Rs = 1 − (6Σd² ÷ n(n²−1))
Rs values range from +1 (perfect positive correlation) through 0 (no correlation) to −1 (perfect negative correlation). Values above ±0.5 suggest moderate to strong correlation.
Fieldwork enquiry process
The geographical enquiry follows a structured sequence assessed in both fieldwork and examinations.
Stage 1: Planning and preparation
- Formulate a clear research question or hypothesis
- Select appropriate locations and justify choices
- Identify suitable primary and secondary data sources
- Complete risk assessments identifying hazards and mitigation measures
- Plan sampling strategies and data collection schedules
Stage 2: Data collection
- Implement planned methods systematically
- Record data accurately in prepared tables or forms
- Maintain objectivity and consistency
- Collect sufficient data for valid conclusions
- Note weather conditions and contextual factors affecting results
Stage 3: Data presentation and analysis
- Select appropriate presentation techniques for different data types
- Create clear, accurate charts, graphs, and maps with titles and labels
- Calculate statistical measures where relevant
- Identify patterns, trends, and anomalies
- Link findings to geographical theory
Stage 4: Conclusions and evaluation
- State whether evidence supports or refutes the hypothesis
- Explain findings using geographical understanding
- Acknowledge limitations in methods, data, or sampling
- Suggest improvements for future investigations
- Identify opportunities for extending the research
Health, safety and ethical considerations
Risk assessment requirements include:
- Identifying environmental hazards (steep slopes, water bodies, weather)
- Recognising social risks (traffic, suspicious behaviour)
- Outlining mitigation strategies (appropriate clothing, adult supervision, partner systems)
- Adapting plans if conditions deteriorate
Ethical fieldwork practice involves:
- Obtaining permission to access private land
- Respecting privacy when photographing or surveying people
- Ensuring data confidentiality and anonymity
- Representing findings honestly without manipulation
- Minimising environmental disturbance
Worked examples
Example 1: Six-figure grid reference
Question: Give the six-figure grid reference for the church marked on the OS map extract. [1 mark]
Solution:
- Locate the church symbol (cross)
- Read eastings: full grid line to left = 45, estimate tenths eastward = 3 → 453
- Read northings: full grid line below = 32, estimate tenths upward = 8 → 328
- Combine: 453328
Examiner note: Write all six digits without spaces. Check you've given eastings first.
Example 2: Describing correlation
Question: Study the scatter graph showing the relationship between distance from the CBD and pedestrian counts. Describe and explain the relationship shown. [4 marks]
Solution: The scatter graph shows a strong negative correlation [1] between distance from the CBD and pedestrian numbers. As distance from the CBD increases, pedestrian counts decrease [1]. This pattern occurs because the CBD contains the highest concentration of shops, services, and employment opportunities [1], attracting more people. Peripheral locations have fewer attractions and lower accessibility, resulting in reduced pedestrian activity [1].
Mark scheme insight: First mark for identifying correlation type/strength, second for describing the pattern, third and fourth for geographical explanation.
Example 3: Evaluating fieldwork method
Question: Evaluate the use of systematic sampling to investigate pedestrian flows in a town centre. [6 marks]
Solution: Advantages: Systematic sampling at regular intervals (e.g., every 10 minutes) ensures data collection throughout the day [1], capturing temporal variations in pedestrian activity [1]. The method is straightforward to implement, reducing human error [1]. It eliminates researcher bias in selecting which pedestrians to count [1].
Limitations: If pedestrian flow has regular patterns (e.g., bus arrivals every 10 minutes), systematic sampling at the same interval might create bias [1]. Random variations in flow between sample points are not captured [1]. Weather changes during the day might affect different samples unequally [1]. The method requires extended fieldwork time to gather sufficient data [1].
Improvement: Combining systematic sampling with random starting times would reduce periodic bias [1].
[Award maximum 6 marks from valid points, requiring balance of advantages and limitations]
Common mistakes and how to avoid them
Confusing eastings and northings in grid references — Remember "along the corridor and up the stairs." Always give the eastings (horizontal) coordinate first, then northings (vertical).
Drawing graphs without proper labels — Every graph requires a title, labelled axes with units, and appropriate scales. Examiners cannot award marks for unlabelled work even if technically correct.
Misinterpreting correlation — Correlation does not prove causation. Strong relationships might result from coincidence or a third variable. Always use cautious language: "suggests," "indicates," "may be caused by."
Calculating mean from grouped data — When data is already grouped in a frequency table, multiply the midpoint of each class by its frequency, sum these products, then divide by total frequency.
Poor field sketch quality — Field sketches should be clear observational drawings, not artistic masterpieces. Focus on accurate proportions, clear labels with annotations, and identified geographical features. Use a ruler for straight edges.
Inadequate evaluation of fieldwork — Move beyond stating "I could collect more data." Specify exactly what additional data, why it would improve the investigation, and how it addresses identified limitations.
Exam technique for Geographical Skills and Fieldwork
Decode command words precisely: "Describe" requires stating patterns without explanation; "explain" demands geographical reasons; "assess" or "evaluate" needs weighing strengths against weaknesses with a judgement.
Resource-based questions require direct reference — When analyzing maps, graphs, or data, quote specific evidence (values, locations, features) to support statements. Generic answers without data citation score poorly.
Allocate time proportionally to marks — Questions worth 1-2 marks need brief, focused responses (30-60 seconds). Extended writing worth 6-9 marks requires structured paragraphs covering multiple points (8-12 minutes). SPaG marks in extended prose require careful attention to spelling of geographical terms, punctuation, and grammar.
Show working in calculations — Even if your final answer is incorrect, examiners can award method marks if your approach is valid. Write formulae, substitutions, and intermediate steps clearly.
Quick revision summary
Master OS map skills including six-figure references, scale calculations, and contour interpretation. Know appropriate data collection methods (surveys, measurements, sampling strategies) and presentation techniques (graphs, maps, statistical measures) for different data types. Understand Spearman's Rank correlation for testing relationships. Follow the geographical enquiry sequence: question formulation, data collection, analysis, conclusions, and evaluation. Demonstrate fieldwork experience including risk assessment and ethical considerations. Practice resource interpretation and data manipulation under exam conditions.