# GEOG 2 skills

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## Dispersion diagrams

A graph with one column where data is spread out over the one axis.

• Can work out range, median, mode, lower quartile, upper quartile and interquartile range.
• Anomalies are shown easily.
• Shows how reliable the data is.
• Can work out the standard deviation.

• Works better with a lot of data.
• Standard deviation can be manipulated.
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Shows how a variable changes due to an independent variable e.g. wind direction changes.

• Can compare lots of sets of data.
• Visual
• Individual variables within the diagram can be compared.

• Hard to spot anomalies.
• Hard to make scale suitable.
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## Kite diagrams

Often used to show quantity of plant species and how they vary with distance as the wider the data points means that the more common they are.

• Clear and easy to understand.
• Shows changes over distance (bedload).
• Shows density and distribution of variables.

• Not all data can be represented by these charts.
• Time consuming to plot by hand.
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## Pie charts

Out of 100% these a breakup of data into a percentage of the total which is then shown by segments on the pie chart.

• Allows fractional and percentage comparison.
• Visual - can see a general.
• Display approximate variations.

• May not be accurate.
• Can't represent more than one point at a time.
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## Line graphs & bar charts

Where a variable is plotted against an independant variable e.g. rainfall against location.

• Comparisons can be made easily.
• Anomalies are clear.
• Shows general trend.

• Can be tedious and time consuming.
• Can often require additional data for them to be useful.
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## Dot maps

Shows distribution over an area.

• Shows variation and pattern.
• Easy to interpret.
• Effective in showing spatial density.

• Actual values can't be seen.
• Time consuming if done by hand.
• Easy to make a mistake.
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## Triangular graphs

Allows 3 proportional variables out of 100% to be plotted against each other.

• Easy to compare.
• 3 bits of data can be compared at the same time.

• Difficult to construct.
• May be interpreted wrong.
• Difficult to read - need background knowledge to understand.
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## Proportional circles

Where the size of the circle shows the population of data, often for one area.

• Visual.
• Can represent large range of data.
• Not dependent on size of an area.

• Difficult to produce.
• Not accurate / can't extract data.
• Overlap can make it confusing to read.
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## Flow line

Indicate a line of movement with its thickness representing the volume of movement and direction the line of flow.

• Immediate impression - can tell general trend.
• Gives clear sense of direction.
• Shows movements easily.

• Hard to draw.
• Flows can overlap.
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## Chloropleth maps

Uses colour overlay over a map to show how an area fits into a range of values, often with darker values representing the higher values and lighter for the lower values.

• Gives general trend easily.
• General anomalies can be identified.
• Easily done by hand.

• Too general.
• Reading exact figures is impossible.
• Variations within each area are hidden.
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## Isoline graphs

Where data points on a map are joined up with data points of equal values e.g. contour lines.

• Can see areas of equal value.
• Drawn easily on computers.