Year 10 - Geography
Interpreting graphs in geography
Geographical skills
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This pupil-friendly study guide includes a unit summary, clear notes, common mistakes, and quick questions with answers.
Unit Summary
This unit teaches pupils about geographical skills. Pupils will learn how to identify, describe and analyse atlas and OS maps at different scales. They will also learn how to construct and interpret photos, diagrams, graphs and thematic maps. Pupils will also learn numerical and statistical skills.
Lesson Summary
You will learn to interpret data from a wide variety of graphs.
Key Notes
- Graphs of data allow geographers to understand trends and correlations.
- Bivariate graphical data allows geographers to predict other values within or beyond the data set.
- More complex data presentation techniques can be used to show the relationships between two or more aspects of data.
Vocabulary To Learn
- bivariate data: data for two variables where one of those variables is believed to influence the other
- anomaly: a value within the data set that does not appear to follow the general pattern or trend
- interpolation: estimating unknown values within a data set based on other values within the set
- extrapolation: estimating unknown values beyond the data set based on the pattern or trend of the known values
Common Mistakes To Avoid
- An anomaly in a data set means that an error was made in the way the data was collected.
3 Quick Questions (With Answers)
1. Explain this geography topic using two clear key points.
Graphs of data allow geographers to understand trends and correlations. Bivariate graphical data allows geographers to predict other values within or beyond the data set.
2. Define this geography term and use it in an example. 'bivariate data'
data for two variables where one of those variables is believed to influence the other.
3. Correct this common geography misunderstanding.
Mistake: An anomaly in a data set means that an error was made in the way the data was collected. Correction: Anomalies could be found in data sets for many reasons, including human error during data collection. It is more likely however that a variable that was not investigated is having an influence on that particular value, causing it to seem 'wrong'.
More Lessons In This Unit
- Constructing graphs in geography Study Guide
- Describing landscapes using maps Study Guide
- Sketch maps and cross sections Study Guide
- Using and interpreting photographs Study Guide
- Using and interpreting spatial data Study Guide
- Using atlases Study Guide
- Using GIS to visualise data in a webmap Study Guide
- Using OS maps to analyse physical features Study Guide
- Using OS maps to locate places Study Guide
- Using statistical data in geography Study Guide
Browse all guides in the Year 10 Geography guide library.