Geographical Skills, Fieldwork and Data Interpretation
This domain tests the skills used in geography: map reading, data presentation, statistical interpretation and fieldwork design. Questions are practical and often ask you to choose or criticise a method.
Core rules and concepts
- Use map scale to convert map distance to ground distance. Grid references locate features; contours show height and slope; cross-sections show relief.
- Sampling can be random, systematic or stratified. A good sample is representative, large enough and unbiased.
- Choose presentation to fit data: bar charts for categories, line graphs for time series, scatter graphs for relationships, choropleth maps for rates and isoline maps for continuous surfaces.
- Statistics summarise data: mean, median, mode, range and interquartile range. Spearman's rank correlation coefficient tests the strength and direction of a relationship.
- Fieldwork needs an aim or hypothesis, a risk assessment, consistent data-collection methods, and evaluation of reliability and limitations.
Worked example
Four pairs of ranks have differences d = 0, 1, −2, 2. Then Σd² = 0 + 1 + 4 + 4 = 9 and n = 4. Spearman's rs = 1 − [6Σd²]/[n(n² − 1)] = 1 − 54/60 = 0.1. Reasoning: a value near 1 shows strong positive correlation; 0.1 is very weak, so the relationship is not strong.
Traps
Do not confuse correlation with causation. Do not use a choropleth for raw counts when rates are needed. Do not ignore sample size when interpreting a statistic. Check scale units (cm to km) and whether grid references are four- or six-figure. Do not claim a method is reliable without evidence.