The Geographical Enquiry Process
This lesson covers the general fieldwork skills, terminology, and exam-paper expectations that apply to every student. The specific sites, data, and methods your class actually used will be different — for the case study you’ll write about in the exam, refer to your teacher’s notes and the data you collected on the day.
What Is a Geographical Enquiry?
A geographical enquiry is a piece of investigative work that follows a clear cycle. Geographers do not just gather data — they begin with a question, plan how to collect evidence, present and analyse it, then judge what the answer means and how reliable it is. The enquiry process has six recognisable stages, and you need to know all of them.
The cycle is the same whether you are studying a Welsh valley river, a high street in Cardiff or pebble sizes on a Pembrokeshire beach. Knowing the cycle lets you read someone else’s study, spot weak points and design a stronger one of your own.
The six stages are: 1) pose questions, 2) collect evidence, 3) process and present, 4) analyse patterns, 5) draw conclusions, 6) evaluate. The fieldwork paper examines all six.
Stage 1 — Posing Questions and Hypotheses
A good enquiry starts with a clear, focused question linked to a geographical concept. ‘What is the high street like?’ is too vague. ‘How does pedestrian flow change with distance from Cardiff city centre?’ is sharper because it specifies a place, a variable and a relationship.
A hypothesis is a testable prediction. For a coastal study you might write: ‘Pebble size will decrease with distance from a headland because longshore drift sorts material as it moves.’ The hypothesis links observation to a process you have already been taught, so the enquiry tests geographical theory rather than just describing what is there.
Stage 2 — Collecting Evidence
Geographers collect two kinds of evidence. Primary data is gathered first-hand: pebble measurements, pedestrian counts, environmental quality scores, questionnaires you hand out yourself. Secondary data is created by someone else and reused: census data, Environment Agency river-flow records, OS maps and satellite images.
Quantitative techniques generate numbers. They include flow measurements (river discharge, traffic counts), scale measurements (pebble size, gradient with a clinometer), spatial pattern surveys (retail land use) and temporal records (rainfall, temperature). Numbers can be averaged, mapped and graphed.
Qualitative techniques capture opinions and impressions. They include questionnaires with open questions, bi-polar surveys (rating a street from 1 to 5 on cleanliness, safety and noise) and annotated photos or sketches of features. Qualitative data adds the human voice to the numbers.
Sampling: You Cannot Measure Everything
No fieldworker has time to measure every pebble or stop every shopper, so geographers sample. Choosing the wrong sampling method can wreck an enquiry — if your sample is not representative, your conclusion is not either.
You need to know four sampling techniques: random, systematic, opportunistic and stratified. Each is best suited to different fieldwork situations.
Random sampling uses chance — for example, picking grid coordinates with a random number generator before going out. It avoids bias but can leave gaps in awkward locations.
Systematic sampling takes readings at regular intervals — every 10 m along a beach transect, every fifth house on a street. It gives even coverage but can miss patterns that repeat at the same interval.
Opportunistic sampling picks whoever or whatever is available — the next willing shopper, the easiest pebble to reach. It is fast but introduces bias.
Stratified sampling first divides the population into groups (age bands, land-use zones) and then samples from each in proportion. It captures variation but needs background data on the strata before fieldwork begins.
Justifying Sample Size and Method
The paper does not just ask you to name a method — you must justify it. A river enquiry that takes 10 width readings at every site is more reliable than one that takes 3, but takes longer. A questionnaire with 50 respondents is more representative than one with 10. Justifications should weigh time, accuracy and the risk of bias.
You should also justify the location of your sample sites. For a river study, sites at intervals down a single tributary make a fair test of how channel shape changes with distance from source; sites picked from different rivers would mix variables and make conclusions weaker.
Designing Data Collection Sheets
A data collection sheet is the printed table you carry into the field. Good sheets are simple, pre-printed and have a column for each variable, the date, time, weather and grid reference. Recording these ‘control’ details lets you spot whether unusual readings were caused by rain, rush hour or your own tiredness rather than the geography itself.
The best fieldworkers also carry a clipboard with two copies of the sheet, a pencil (ink runs in rain), a phone for photos with location stamps, and named equipment such as a metre rule, clinometer or quadrat. The risk assessment is finalised before leaving school: tides, traffic, weather, lone-working rules.