Â鶹ԼÅÄ

What is a geographical enquiry?

Geographical enquiries can involve researching the human and physical environments. They are a way of investigating questions about the world we live in and learn how processes work.

There are six steps to follow in a geographical enquiry.

  • Planning
  • Fieldwork
  • Processing and presenting data
  • Analysing and interpreting data
  • Conclusion
  • Evaluation

In this article we look at the last four steps in a geographical enquiry. You can learn about the first two steps - planning and fieldwork - in Geographical enquiry – part 1

Once the first two steps have been completed it’s time to look at the data that has been collected.

Watch: Geographical enquiry - Part 2 video

Watch this short clip to learn about what to do with the data collected in a geographical enquiry and how to form a conlusion and evaluate the enquiry.

Processing and presenting data

Once data has been collected it needs to be sorted and organised into data tables. This data can then be presented neatly in different types of graphs to display the results clearly.

All graphs should be drawn neatly with a pencil and a ruler, and contain the following:

  • title
  • labelled axis
  • key
  • colour

Bar charts

Bar charts are used to display the amounts of different sets of data.

For example, when carrying out an enquiry about traffic, the results for a survey of vehicles travelling along a road in both directions would be put in a data table.

Type of vehicleTo the cityFrom the city
Car240320
Van3240
Lorry249
Motorbike52
Bike00
Walk10
Other315

This data can be displayed in a bar chart where the different values can be compared.

Bar chart showing results of a survey of traffic in and out of a city between 15:00 and 15:30. The categories are car, van, lorry, motorbike, bike, walk and others. The highest numbers are for cars with 240 travelling to the city and 320 travelling out of the city.

Advantages of bar charts

  • Clearly display data which makes it easy to make comparisons between different values.
  • Clearly show what has scored highest and lowest.

Disadvantages of bar charts

  • Not useful for showing change over time.
  • Not useful for identifying relationships between two sets of data.

Line graphs

Line graphs are often used to show change over time. For example, a line graph could be used to display the results of a survey of pedestrians in one location over the course of a day.

A line graph showing the results of a pedestrian survey in a shopping centre between 09:00 and 17:00. There are 100 pedestrians at 09:00 rising to 325 at 15:00 before decreasing to 300 at 17:00.

Advantages of line graphs

  • Clearly display data.
  • Trends can be identified.

Disadvantages of line graphs

  • Not useful for displaying percentages.
  • Not useful for making comparisons of different singular sets of data.

A river cross-section shows us the depth and width of the river. It is similar to a line graph, but with the x-axis placed at the top.

A cross-section graph for a river.

Radar graphs

Radar graphs can be used to display data from environmental surveys. Each of the arms have a scale and the closer the line is to highest number, the more positive the result of the survey.

For example, a radar graph can be used to display and compare the results of an environmental survey about two contrasting areas of a town. In this graph, the larger the pentagon shape, the more positive the score.

Radar graph showing results of environmental survey about two areas of a city - one redeveloped and one undeveloped with ratings from 2 to minus 2 for each category. The categories are buildings, street lighting, local attractions, road quality and traffic. Overall, the redeveloped area has the more positive ratings.

Pie charts

Pie charts show percentages as a circle, divided into segments. They can be used to display data from different kinds of geographical enquiries, for example when collecting qualitative data using a questionnaire and asking people why they moved to live somewhere.

Pie chart showing the answers people gave when they were asked for the reason they moved to the city. The categories going from highest percentage to lowest percentage are culture, jobs, transport, history, housing, other and attractions.

Analysing and interpreting data

Analysis involves describing the results.

For example, you can identify the trend shown in a graph.

  • Does the graph increase or decrease slowly?
  • Does the graph increase or decrease steadily or rapidly?
  • Does the graph fluctuate (rise and fall irregularly)?

Use figures from the graph to describe the changes it shows as evidence to support any trend that you have identified. Always aim to give amounts near the start, the middle and the end. Be as accurate as possible when reading from the graph and always use units when quoting figures, eg cm, m, km.

Line graph showing the number of births between 1950 and 2010. It starts at just over 800,000 in 1950 and rises to 1,000,000 in 1964. It then fluctuates but decreases to 810,000 in 2010.

For example, analysis of this graph showing the number of births over a number of years could say that:

  • in 1964 there were 1,000,000 births
  • over time the graph has fluctuated
  • overall the trend has decreased from 1,000,000 births in 1964 to 810,000 births in 2010

Mode, median, range and mean

To develop analysis further you can look at the mode, median, range and mean of a data set, for example data collected in a traffic survey.

Type of vehicleTo the city
Car240
Van32
Lorry24
Motorbike5
Bike0
Walk1
Other3

The mode is the most common number. In this set of data the mode is 240 for cars.

The median is the middle number when the data is placed in order from highest to lowest. In this set of data where the numbers are 240, 32, 24, 5, 3, 1 and 0, the median is 5.

The range is the difference between the highest and the lowest number. In this set of data the range is 240 which is the difference between the number of cars and the number of bikes.

The mean is calculated by adding up the numbers in all the categories then dividing the total by the number of categories.

For this set of data:

  • add up the total for each category (cars, vans, lorry, motorbikes, bikes, walkers and other) to give a total of 305
  • divide 305 by 7 (the number of categories) giving a mean of 43.57

Interpreting data

Interpreting the data that has been collected involves explaining:

  • the different reasons for the results and graphs
  • the patterns and trends in the information

Conclusion

The conclusion is a summary of your findings. To write a conclusion look back to your hypothesis or to your question and sub-questions.

For example, in a river investigation, the enquiry question - the main question you have asked - could be ‘Does the river change from the source to the mouth?’

The sub-questions, used to break down this main enquiry question into smaller parts, could be:

  • does the velocity of a river change along its course?
  • what happens to the width and depth of the river as you go downstream?
  • does the size and shape of pebbles change along the course of a river?

When answering these questions you may need to combine key findings from different data sets to provide evidence for the answer, eg river velocity, pebble shape and size, width, depth, gradient and maps.

The overall conclusion will be to answer your main question. You can draw on the answers to your sub-questions when forming this answer.

Include an answer to your hypothesis in your overall conclusion. Can you prove or disprove your hypothesis? You may give reasons and evidence to support your conclusions.

Evaluation

Take time to evaluate the enquiry. This evaluation can be based on the answers to three main questions.

  • What are the strengths of the enquiry?
  • What are the weaknesses of the enquiry?
  • How might the project be improved if it was to be completed again?

These questions should focus on different aspects of the enquiry.

  • Data collection methods
  • Sampling techniques
  • Data presentation methods

When you consider how the project could be made even more effective if it was done again, these are the kind of questions you could ask.

  • Would you ask the same question or could you make the project smaller and more focused?
  • Did you gather enough data or would you change the sampling technique and collect more data?
  • Did you present all the graphs accurately?
  • Would you look to challenge yourself and try to draw different graphs?

More on Geographical skills

Find out more by working through a topic