Coastal Enquiry Skills

Revise Coastal Enquiry Skills for Geography (Edexcel) 4GE1 (O Level) — revision notes and instant AI marking.

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Summary — The Whole Chapter in One Scan

Data presentation — primary data (what you collected yourself) is usually shown as line graphs, bar graphs, or scatter graphs, depending on what kind of relationship or pattern you're trying to show.

Secondary data — data other people collected (weather records, OS maps, geology maps, old photos) that gives context primary data can't provide on its own.

Analysis — quantitative data (numbers) gets analysed using statistics like the mean and median; qualitative data (photos, sketches) gets analysed by describing what they show.

Anomalies — results that don't fit the pattern. You need to be able to spot them AND explain why they might have happened (human error, protected site, recent rockfall, etc.).

Conclusion — a clear statement of whether your hypothesis was proved or disproved, using your actual results as evidence.

Evaluation — an honest, in-depth judgement of how successful the whole enquiry was: was it accurate, reliable, and what would you change next time?

1. Presenting Coastal Enquiry Data

Why data presentation matters

Once you've stood on a beach measuring pebbles and waves, you end up with a big messy table of numbers. On its own, that table is almost useless — nobody can look at 50 rows of digits and instantly "see" a pattern. Data presentation turns raw numbers into a visual story that makes patterns, trends, and anomalies jump out at a glance.

The trick the exam wants you to understand isn't just "how do I draw a graph" — it's which graph fits which type of data, because each graph type is built to answer a different kind of question.

Primary data — the graphs you'll actually be tested on

Primary data is data you collected yourself out in the field (pebble sizes, wave counts, beach gradients). Here are the three main graph types Edexcel expects you to know, and — more importantly — why each one is the right tool for its job:

Line Graphs

Use when: data changes continuously, especially over time or distance.

Think of a line graph as showing a "journey" — one continuous value that shifts as something else (time, distance) moves forward. Examples: traffic flow through the day, population change over decades, or the height of sediment along a groyne profile (as you walk from the sea towards the land, does the beach get higher or lower?). The dots are connected because the values are linked in sequence — point 2 naturally follows on from point 1.

Bar Graphs

Use when: comparing separate, distinct categories or sites against each other.

A bar graph is for comparison, not continuity — each bar is its own independent "thing" (a site, a location, a category), and you're asking "which one is bigger?" rather than "how does it change smoothly?" Examples: number of people counted at different locations, or sediment size measured at five separate transect sites. Unlike a line graph, you would NOT connect the tops of the bars with a line, because Site 1 and Site 2 aren't a continuous journey — they're separate places.

Scatter Graphs

Use when: testing whether two different variables are related to each other.

relationship positive relationship negative relationship

Quick way to choose the right graph