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Welcome to GCSE A Q A Geography revision.

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Topic G 20: Fieldwork.

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Use your school’s selected case studies if they differ from these revision examples.

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Geographical fieldwork investigates a question using evidence collected in the environment.

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The full enquiry connects a question, methods, data, analysis, conclusion and evaluation.

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The geographical enquiry sequence.

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Each stage should address the original question.

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Pilot work or evaluation may lead you to revise earlier decisions.

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The course requires two enquiries in contrasting environments involving physical and human geography.

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Each uses primary data collected outside the classroom and school grounds on at least two fieldwork occasions overall.

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At least one enquiry considers the interaction of physical and human geography.

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Your own enquiry titles, locations and methods come from your school; do not replace them with invented results.

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Questions can assess your own enquiries or an unfamiliar investigation.

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For your work, revise actual evidence; for unfamiliar work, judge the methods and data supplied.

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Keep an enquiry summary with its exact title, location, geographical idea, data collected, sampling, presentation, conclusion and limitations.

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These notes support that summary but do not supply your personal findings.

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A good enquiry question is focused, geographical and answerable using obtainable evidence.

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Specify the variable, place or relationship rather than asking whether an area is simply good.

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A hypothesis is a testable prediction, such as an expected relationship between two variables.

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It should be supported by a geographical reason and may be rejected by the results.

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Identify independent and dependent variables where relevant.

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For example, distance downstream may be compared with channel width, while geology or tributaries can affect the relationship.

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Choose sites that address the question and can be accessed safely and legally.

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A convenient site is not automatically representative of the whole study area.

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Primary data are collected directly for the enquiry, such as measurements or questionnaire responses.

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Secondary data already exist, such as maps, census tables or weather records.

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Quantitative data are numerical measurements or counts.

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Qualitative data describe qualities or experiences, such as interview answers and annotated photographs.

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A pilot survey is a small trial.

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It can reveal confusing questions, unsuitable scales, equipment problems or unrealistic timings before the full collection.

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Risk combines the likelihood of harm with its seriousness.

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Identify hazards such as traffic, slippery banks, waves, heat or contact with polluted water and plan controls.

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Follow the school's risk assessment, supervision and site instructions.

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Do not enter moving water, work beneath unstable cliffs or cross unsafe roads to obtain a measurement.

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Controls include approved safe sites, weather and tide checks, suitable equipment, group working and clear emergency procedures.

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Stop or adapt when conditions become unsafe.

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Questionnaires should be voluntary and respectful.

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Explain the purpose, avoid unnecessary personal information and record data without identifying individuals.

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Gain permission where required and minimise disturbance to habitats and residents.

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A photograph of an identifiable person may require consent.

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Random sampling gives eligible units a chance of selection using a random method.

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It can reduce selection bias but may cluster sites and leave gaps in a small sample.

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Three sampling approaches.

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Random locations can cluster.

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Systematic locations use equal intervals.

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Stratified locations sample defined groups; the illustrated numbers are not a required allocation.

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Systematic sampling takes observations at regular intervals, such as every twenty metres.

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It is easy to repeat but can miss patterns that repeat at the same interval.

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Stratified sampling divides the population into relevant groups and samples each.

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It can improve representation, but relies on accurate group information and appropriate proportions.

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Sample size is the number of observations.

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Larger samples can improve representation, but repeating the same biased method does not remove bias.

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Record time, location, units, method, conditions and equipment alongside readings.

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A prepared sheet with clear headings reduces omissions and makes comparisons easier.

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Keep the method consistent between sites.

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Use the same definitions, timing and equipment, and note any unavoidable changes.

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Accuracy is closeness to the true value.

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Reliability is consistency when a method is repeated; repeated readings can be consistently wrong if equipment is miscalibrated.

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Resolution is the smallest change an instrument can distinguish.

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Recording extra decimal places does not improve the instrument's resolution.

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Channel width can be measured across an approved safe section with a tape; depth can be measured at stated intervals only under approved supervised conditions.

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Record units and the actual cross-section shape.

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A float gives an estimate of surface velocity: distance divided by travel time.

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Repeat timings; it does not directly measure the mean velocity throughout the channel.

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Discharge is cross-sectional area multiplied by mean velocity.

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A rough width multiplied by average-depth estimate simplifies an irregular channel, and a surface float adds uncertainty; explain these limitations.

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Pebble sampling can measure size or roundness at approved accessible locations.

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Select by a consistent rule rather than choosing only conspicuous stones.

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A beach profile uses distance and slope measurements along a transect.

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Keep the starting point, direction and method consistent and work within approved tide and safety limits.

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Infiltration comparisons require consistent soil conditions and method.

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Recent rain, compaction and vegetation may affect results, so note them instead of attributing every difference to one factor.

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These are method examples, not claims about your class's activities.

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Use the exact procedures, safety decisions and measurements recorded during your own enquiries.

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A pedestrian count records people crossing a defined point during a fixed period.

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Repeat at different times; one short count may not represent a typical day.

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A land-use survey classifies buildings using a stated key.

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Apply the same categories throughout and record uncertain or mixed uses consistently.

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An environmental quality survey scores features such as litter or noise.

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Clearly defined scoring criteria and comparisons between observers reduce subjectivity.

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Questionnaires gather opinions or reported behaviour.

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Neutral wording, suitable sampling and multiple collection times help reduce leading questions and selection bias.

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An interview provides detailed explanations but covers fewer people.

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Responses can reflect memory, personal interests or the interviewer's influence.

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Photographs and field sketches document visible evidence.

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Label location, direction and date and avoid treating a selected image as proof of conditions everywhere.

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Check data for missing values and recording errors without silently changing genuine results.

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Keep an audit of corrections and explain any excluded reading.

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Choose presentation to match the enquiry: a line graph for change with distance, bars for categories, maps for spatial patterns or a scattergraph for two numerical variables.

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Use a title, labelled axes, units, suitable scale and key.

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A graph that stretches or truncates an axis can exaggerate a small difference.

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Calculate suitable summaries, such as mean or median and range.

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Compare spread as well as averages; one unusual reading can strongly affect the mean.

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Describe the overall pattern using specific values, then identify anomalies.

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An anomaly is a result that differs from the pattern, not automatically an error to delete.

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Explain patterns using geography and site observations.

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A relationship between two variables does not prove that one alone caused the other.

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Compare primary findings with relevant secondary evidence.

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Differences in year, season, boundary or method may explain disagreement.

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A conclusion answers the original question or assesses the hypothesis using findings.

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State the strength of support rather than claiming proof from a small sample.

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Separate a method limitation from its consequence: one weekday survey may miss weekend visitors, making the conclusion less representative of overall use.

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Suggest a specific improvement matched to the limitation, such as repeating counts at defined weekday and weekend times.

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Explain why it would improve confidence.

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Consider sample coverage, equipment, observer judgement, conditions and secondary-data quality.

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Explain which limitations most affect the conclusion.

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Further data should resolve a particular uncertainty.

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More data of the same unsuitable kind may add little value.

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Evaluation is a judgement about how well the enquiry answered its question.

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Acknowledging limitations can support a careful, useful conclusion rather than make the enquiry worthless.

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That completes Fieldwork.

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Revisit the notes and test yourself on the revision website.
