1. Non-Examined Assessment Data Presentation & Data Analysis Guidance

2. What should you have completed so far?
The purpose of your investigation – appropriate aims and hypotheses identified and research of relevant literature/information (all of which should be referenced – I will tell you how to do this shortly)
Methodologies – information about how you collected your data (for top marks, you need to explain your sampling strategy (see p ), frequency of observations, timing of observations… and identify whether they are quantitative and qualitative methodologies)
Data presentation (at least a start) – appropriate diagrams, graphs, maps etc. to clearly show what you found out when completing your investigation.

3. THIS INFORMATION IS ALSO IN THE BACK OF YOUR TEXTBOOKS – DO NOT NEGLECT THEM!!
Section
Mark
Introduction 12
Fieldwork 10
Data Representation, Analysis, Interpretation and Evaluation of Techniques and Methodologies used 24
Conclusions and Critical Evaluation of the Overall Investigation
Total 70

4. Firstly, how to reference…
If the exam board deem your work to ‘not be your own’, you will lose marks
The best way to show you aren’t stealing ideas and information is to reference effectively
The recommended referencing technique from the exam board is Harvard referencing (beneficial for those wanting to go to University, too!)
Page 306 in your Y13 textbook identifies what the literature review should involve, and there is a box for guidance on Harvard referencing, however…

5. Firstly, how to reference…
Journals or books
Name of author(s)
Year published
Title
Publisher
Pages used
For example:
Marshall, T., Regional planning in England: progress and pressures since Town Planning Review, pp

6. Firstly, how to reference…
Websites
Last name, first initial, (year published),
page title. [online] Website name. Available at:
URL [Accessed Day Month Year].
For example:
Gibson, O. (22nd October 2005), BBC a step closer to Manchester
move. [online] The Guardian. Available at:
CMP=SRCH [Accessed Saturday 14th October 2017]

7. Data Presentation – how to get your NEA to ‘stand out’
To be able to present your data successfully, I would suggest you follow these steps to avoid a data associated meltdown:
Gather all your data together – prepare it so that it is easily accessible in the groups you want it to be in
Select and sort data and information – disregard anything not relevant
Put data in Excel spreadsheets or word documents so they can be easily copied and pasted to produce graphs

8. Useful Websites
We should have access to ArcGIS in 7-10 days (I will run an afterschool session on how to use it)

9. Data Presentation – how to get your NEA to ‘stand out’ – CARTOGGRAPHIC METHODS
Dot maps
Chloropleth maps
Proportional symbol
maps
Flow maps

10. Technique (Graphical (G) or Cartographical (C) )
Data Presentation – how to get your NEA to ‘stand out’ – GRAPHICAL METHODS
Type of info.
Technique (Graphical (G) or Cartographical (C) )
Sequential data that changes over time
Line graphs (G)
Pictograms (G)
Circular graphs/rose diagrams (G)
Recorded data at different sites that has different categories
Bar charts/histograms (G)
Pyramid graphs (G)
Pie charts (G)
Mirror graphs (G)
Multiple/compound bar charts (G)
Where measurements of side views have been taken – RIVERS PEOPLE, THIS IS FOR YOU!
Long and cross profiles (G) – we can look at ArcGIS for the 3D contour maps
Cross sections (G)
Data collected to demonstrate spatial variation
Chloropleth maps (C), isopleth maps (C), dot maps (C), proportional symbol maps (C)
Continuous data (along a transect)
Kite diagram (G)
Scatter graph (G)
Representing links or connections between data

11. Data Analysis
Producing graphs is all well and good, but you must be able to explain how these help answer your main and hypothesis questions
“It can be both interesting and rewarding as well as sometimes surprising and revealing” – true, but it also takes a lot of hard work and dedication from you
This carries 24 out of the 70 marks available – it is important you get this right

12. Data Analysis – success criteria
Description (supported by information, data and other evidence) – a bit like ‘describe’ in an exam question, you need to say what your data presentation shows. Statistics can be included here.
Explanation (providing likely geographical reasons linked to patterns and trends in the data – why do you think it shows what it shows?)
Finding, synthesising and suggesting geographical links in the data (you can link back to your literature review e.g. the Bradshaw Model suggests this and my data shows this.)

13. Data Analysis – success criteria
Description (supported by information, data and other evidence) – a bit like ‘describe’ in an exam question, you need to say what your data presentation shows. Statistics can be included here.
Explanation (providing likely geographical reasons linked to patterns and trends in the data – why do you think it shows what it shows?)
Finding, synthesising and suggesting geographical links in the data (you can link back to your literature review e.g. the Bradshaw Model suggests this and my data shows this.)
YOU NEED TO FOLLOW THIS STEP BY STEP PROCESS FOR EVERY GRAPH/MAP YOU PRODUCE!

14. Data Analysis – STATISTICS!
If it makes sense to include statistics, you need to make time for them! Page 322 has a table that explains which statistical technique can be used and when best to use it (and even Excel spreadsheet instructions so you don’t have to calculate each one!) 

15. Where do we go from here?
2x lessons on the Monday – these are to be used to get advice on what to do over the Christmas break.
All data presentation and at least a start to the data analysis should be completed, with the aim that on return from Christmas, we can move on to conclusions.