Barcelona Field Studies Centre

  • All Data Presentations
  • 3D Chart Example
  • 3D Chart Maker
  • Bar Chart (Divided)
  • Bar Chart Maker
  • Bar Chart (Percentage)
  • Bar Chart (Range)
  • Beach Profile Maker
  • Bi-Polar Graphs
  • Bihistogram Creator
  • Bi-Polar Chart Maker
  • Box Plot Creator
  • Cailleux Roundness
  • Choropleth Maps
  • Coding Analysis
  • Cross Section Maker
  • Cumulative Frequency
  • Divided Bar Charts
  • Donut Chart Maker
  • Histogram Creator
  • Line Chart Maker

Line of Best Fit

  • Kite Data Entity Example
  • Kites Data Entity Maker
  • Kites Species Creator
  • Kites Species Example
  • Map Cross Section Maker
  • Percentage Bar Charts
  • Pie Chart Maker
  • Pie Chart Maker Example
  • Polar Area Chart Maker
  • Polar Area Example
  • Polar Chart Example
  • Polar Chart Maker
  • Polar Overlays Example
  • Polar Overlays Maker
  • Polar Scatter Maker
  • Proportional Circles
  • Proportional Circle Maker

Radar Charts

  • Radar Chart Maker

Radar Chart Overlays

  • Range Bar Charts

River Cross Sections

  • Rose Diagram Example
  • Rose Diagram Maker
  • Sand Dune Profiles

Scatter Graphs

  • Scatter Graph Maker
  • Slope Profile Example
  • Slope Profile Maker
  • Stacked Bar Chart Maker
  • Stacked Bar Example

Triangular Graphs

  • Triangular Graph Example
  • Triangular Graph Maker
  • Word Cloud Example
  • Word Cloud Maker
  • Beach Profiles
  • Lichenometry
  • Map Reading
  • River Discharge
  • Gentrification
  • Mapping Techniques
  • Slope Steepness
  • Minimum Sample Size
  • Optimum Quadrat Size
  • Random Numbers
  • Random Sampling
  • Sampling Problems
  • Sample Size
  • Urban Sampling
  • Box Plot Maker
  • Beach Volume
  • Hydraulic Radius
  • Mann Whitney U Test
  • Manning's n
  • Nearest Neighbour
  • River Cross Section
  • Scatter Graph Creator
  • Simpson's Diversity Index
  • Slope Steepness Index
  • Spearman's Rank
  • Spearman's Calculator
  • Standard Deviation
  • Statistical Methods
  • Wetted Perimeter

Geography Data Presentation Techniques and Methods

Many of the most appropriate types of data presentation techniques used to visualise raw geographical data are shown on this page. We provide the tools to create and save the images shown and these are quick and easy to use, free with no account or log-in required.

Besides creating images, the geography data presentation tools have many mathematical functions. These include the calculation of cross sectional area for beach profiles and river cross sections, trend lines for scatter graphs and standard deviation for box plots.

Simply open the calculator for your chosen technique, enter your data, adjust titles and data labels. An image of your data presentation and the calculations used to create it are then instantly ready for download.

Percentage or Divided Bar Charts



Stacked Bar Charts

Min-Max Range Floating Bar Charts

Beach profiles (using slope angle data).

Create beach profile images, calculate beach horizontal and surface widths, cross sectional areas and beach volume.

Beach Profiles (using height change data)

Beach Profile using height change data

Beach Profiles (using absolute height data)

Beach Profile using absolute height data

BiHistograms

Bi-Polar Charts

Box Plots or box and whisker charts (Horizontal)

Box plots (vertical).

Box Plots Vertical Data Sets 1 and 2

Box Plots (Outliers)

Box Plots Data Set 2 Outliers

Box Plots (Mean and Standard Deviation)

Box Plots Data Set 2 (Mean and Standard Deviation)

Cumulative Frequency Chart

Cumulative Percentage Frequency

Donut (Doughnut) Charts

Kite diagrams (any data entities).

Kite Diagrams (Species Abundance)

Line charts.

Line of Best Fit

Map Cross Sections

Map Cross Section

Polar Area Charts

Polar Area Chart

Polar Charts

Polar Chart Example

Polar Chart Overlays

Polar Chart Overlays Example

Polar Scatter Charts

Proportional circles chart.

Radar Chart Overlays

Create a river cross section image, calculate the cross sectional area, wetted perimeter and hydraulic radius.

Rose Diagrams

Rose Diagram

Sand Dune Profiles (using slope angle data)

Sand Dune Profile

Slope Profiles (using slope angle data)

Slope Profile

Word Clouds

Word Cloud

Orange welcome sign that reads Royal Geographical Society with IBG.

Become a member and discover where geography can take you.

A black map showing Europe and Africa, with red data spots of different sizes located in each country

  • Resources for ...
  • A student guid...

A student guide to the A Level independent investigation (Non-examined Assessment - NEA)

The following documents are available in the Downloads section below:

Download a copy of the guide below

Lawrlwythwch gopi o'r canllaw

Before you start

i   – Independent Investigation - Student Planning Form        Independent Investigation - Student Planning Form (Word document) ii  – A Guide to Writing A Research Plan iii – A Guide to Effective Background Reading iv – A Guide to Referencing

Section 1 – Introduction

1a – A Guide to Hypotheses

Section 2 – Data collection

2a – A Guide to Different Types of Data

2b – A Guide to Data Collection Techniques – Quantitative Measuring

2c – A Guide to Data Collection Techniques – Surveys

2d – A Guide to Data Collection Techniques – Interviews

2e – A Guide to Data Collection Techniques – Questionnaires

2f – A Guide to Data Collection Techniques – Observations, Photographs and Field Sketches

2g – A Guide to Sampling Techniques

2h – A Guide to Recording Data in the Field

2i – A Guide to Avoiding Biased Data

Section 3 – Data presentation

3a – A Guide to Column Charts and Histograms

3b – A Guide to Pictograms

3c – A Guide to Pie Charts

3d – A Guide to Scatter and Line Graphs

3e – A Guide to Box and Whisker Graphs

3f – A Guide to Kite Diagrams

3g – A Guide to Triangular graphs

3h – A Guide to Rose and Radial Graphs

3i – A Guide to Isoline Maps

3j – A Guide to Choropleth Maps

3k – A Guide to Pictorial Data Presentation

3l – A Guide to Presenting Qualitative Data

Section 4 – Data analysis

4a – A Guide to Measures of Central Tendency

4b – A Guide to Measuring Proportions

4c – A Guide to Measures of Dispersion

4d – A Guide to Cost-Benefit Analysis

4e – A Guide to Spearman’s Rank

4f – A Guide to Chi-Squared Testing

4g – A Guide to Simpson’s Diversity Index

4h – A Guide to Pearson’s Product Moment

4i – A Guide to Nearest Neighbour Analysis

4j – A Guide to Mann-Whitney U Test

4k – A Guide to Qualitative Data Analysis

Section 5 – Conclusions

Section 6 – Evaluation

Section 7 – Final checks 

Posters – A guide to reading your research landscape

A copy of FAQs from the awarding bodies

View a video from the Royal Met Soc - MetLink - Weather Fieldwork for your A Level Geography Independent Investigation

File name Files

Full Guide: Guide to the NEA

Student Planning Form - Word

Student Planning Form - PDF

A Guide to Writing A Research Plan

A Guide to Effective Background Reading

A Guide to Referencing

1a – A Guide to Hypotheses

2a – A Guide to Different Types of Data

2b – A Guide to Data Collection Techniques – Quantitative Measuring

2c – A Guide to Data Collection Techniques – Surveys

2d – A Guide to Data Collection Techniques – Interviews

2e – A Guide to Data Collection Techniques – Questionnaires

2f – A Guide to Data Collection Techniques – Observations, Photographs and Field Sketches

2g – A Guide to Sampling Techniques

2h – A Guide to Recording Data in the Field

2i – A Guide to Avoiding Biased Data

3a – A Guide to Column Charts and Histograms

3b – A Guide to Pictograms

3c – A Guide to Pie Charts

3d – A Guide to Scatter and Line Graphs

3e – A Guide to Box and Whisker Graphs

3f – A Guide to Kite Diagrams

3g – A Guide to Triangular graphs

3h – A Guide to Rose and Radial Graphs

3i – A Guide to Isoline Maps

3j – A Guide to Choropleth Maps

3k – A Guide to Pictorial Data Presentation

3l – A Guide to Presenting Qualitative Data

4a – A Guide to Measures of Central Tendency

4b – A Guide to Measuring Proportions

4c – A Guide to Measures of Dispersion

4d – A Guide to Cost-Benefit Analysis

4e – A Guide to Spearman’s Rank

4f – A Guide to Chi-Squared Testing

4g – A Guide to Simpson’s Diversity Index

4h – A Guide to Pearson’s Product Moment

4i – A Guide to Nearest Neighbour Analysis

4j – A Guide to Mann-Whitney U Test

4k – A Guide to Qualitative Data Analysis

Section 7 – Final checks

Posters – A guide to reading your research landscape

Poster – RMetS weather and climate

FAQs from the awarding bodies

A Guide to Collecting Weather Data

BSG geomorphology projects for students

NEA word limit letter

Ethical Data resources

Doug Specht and colleagues from the University of Westminster have produced resources to provide some extra guidance and support around ethics and data use for the NEA

Hands holding a mobile phone which shows a map on its screen

This project was funded by the Nuffield Foundation, but the views expressed are those of the authors and not necessarily those of the Foundation

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IMAGES

  1. NEA results presentation analysis part 2

    nea data presentation ideas

  2. GEOGRAPHY NEA DATA COLLECTION

    nea data presentation ideas

  3. NEA Data Presentation

    nea data presentation ideas

  4. Data presentation

    nea data presentation ideas

  5. 20+ Powerful Data Visualizations and Infographics for 2020

    nea data presentation ideas

  6. How to Create Compelling Data Presentations That Captivate Audiences

    nea data presentation ideas

VIDEO

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COMMENTS

  1. Geography Data Presentation Techniques and Methods

    We provide the tools for most types of data presentation techniques used to visualise raw geographical data. These are quick and easy to use, free with no account or log-in required.

  2. A student guide to the A Level independent investigation (Non ...

    Doug Specht and colleagues from the University of Westminster have produced resources to provide some extra guidance and support around ethics and data use for the NEA Responsible and ethical use of location data with Doug Specht

  3. Fieldwork Data presentation – Field Studies Council

    Justifying your choice of data presentation Your findings can be presented with a range of graphical and mapping techniques. Each form of data presentation needs to be justified.

  4. Geography A Level NEA - ArcGIS StoryMaps

    Geography A Level NEA. A step by step guide to completing your Non Examined Assessment.

  5. AQA Geography A-Level 3.3.4.2 : Data Collection Techniques

    Introduction . nt techniques of data collection you could use in your NEA. Remember that the techniques you use should provide you with a range of quantitative and qualitat. ve data that is suitable to analyse in your investigation. Try to only choose techniques tha. General Data Collection Methods. Field Sketch.

  6. Section 3 – Data Presentation

    Data Presentation. presentation of relevant data. Presenting data involves the use of a variety of different graphical techniques to visually show the reader the relationship between different data sets, to emphasise the nature of a particular aspect of the data or to geographically ‘place.

  7. Edexcel A Level NEA - Data Presentation - YouTube

    This video is for A Level Geography students as a guide to presenting data for their Non-Examined Assessment (NEA).

  8. NEA Methodology Planning - ArcGIS StoryMaps

    See the risk assessment guidance below. Make a copy of the suggested methodology table below and note down a few ideas before data collection. You can always add to it later. This will guide you through your methodology, what to include and its importance within your NEA.

  9. Get help and support A-LEVEL EXAMPLE NEA GEOGRAPHY ... - AQA

    Data collection – secondary data from the County Council shows the details of the plan and provides air pollution and traffic count data which can be used to create flow maps. Primary data – the views of local businesses could be canvassed showing the costs and benefits to them. Questionnaires, traffic count and pedestrian count data

  10. Student Guide GEOGRAPHY - OCR

    3 Data presentation techniques (9 marks) • Have you gone through and organised your data? • Have you explored a range of data presentation techniques and selected the ones best suited to your data? • Will you plan your data presentation? Consider where your data will appear