GCSE Geography
Controlled Assessment
Data Presentation
Name……………………………………….
2015
T Manson
1
Data Presentation
Hypothesis 1 – Channel Width & Depth
1. Average depth graph
Make sure that your depths are in metres. Add all the depth and divide by the
number of measurements giving an average depth. Show this in a graph. (for
guidance on how to draw graphs using ICT see p8
Graph 1: Average channel depth as you move up
stream
Average Depth in metres
0.7
0.62
0.6
0.54
0.5
0.35
0.4
0.3
0.21
0.2
0.1
0
Site 1 (1km)
Site 2(1.8km)
Site 3(25km)
Dsitance from the mouth
Site 4(45km)
Average channel depth in metres
Label your axis clearly.
Always give the units
Always clearly label
your graph
2. Width graph (Graph 2)
Draw a graph comparing the width at all six sites.
2
Add values to each bar
3. Cross sectional area
To answer your hypothesis you need to calculate the
cross sectional area of the channel at site 1,2,3. This is
calculated by doing the following:
Cross sectional area (m2) = average depth (m*) x width (m*)
*= both must be in meters
Graph 3: Cross sectional area of the
Curly Burn River
Cross sectional area in m2
2.5
2.34
1.97
2
1.5
0.95
1
0.5
0.24
0
Site 1 (1km)
Site 2 (1.8km)
Site 3 (25km)
Site 4 (45km)
Distance from the mouth
4. Channel shape graph (Graphs 4, 5 and 6 )
You will need 4 of these graphs, one for each site. Notice the scale used for depth is
different to the width. The same scale must be used for all three graphs so that you
can easily compare shapes.
River Depth 1cm=
10cm)
Channel shape Graph for the Lower Course (site 1)
0
-10 0
200
400
600
-20
-30
-40
-50
-60
RiverWidth (1cm =1m)
Scale
Depth: 1cm = 10cm
Width 1cm = 1m
3
800
1000
Hypothesis 2 – Velocity
1. Average Velocity comparison graph
This graph compares the maximum velocity at site 1,2, 3 and 4. Draw a graph showing these values. This
graph is used to see if the channel that has the highest maximum velocity is also the channel with the
largest cross sectional area. (this should be the case because of erosion. )
Maxium Velocity in m/s
Graph 7: Bar graph to compare the average
velocity in the Curly Burn river
5
4.5
4.3
4
3.5
3
2.5
2
1
0
Site 1 (1km)
Site 2 (1.8km)
Site 3 (25km)
Distance from the mouth
4
Site 4 (45km)
Hypothesis 3 – Bedload
1. Average Bedload Shape (Graph 8)
For each site calculate the average bedload shape and draw a graph to show this.
To do this you will need to give each stone shape a numerical value, i.e. Well
rounded = 1, Rounded =
2, Sub-angular = 3, Angular =
4, Very angular = 5.
Graph 8: Bar graph showing the average bedload shape for the Curly Burn River
5
4.5
4
3.5
3
2.5
2
1.5
1
0.5
0
Site 1 (1km)
Site 2 (1.8km)
Site 3 (25km)
Site 4 (45km)
Key
1 = Well rounded
2 = Rounded
3 = Sub angular
etc
2. Average Bedload Size (Graph 9)
For each site calculate the average bedload size and draw a graph to show this.
(add up all lengths and divide by 20). Graph should be drawn out as above.
Bar graph showing the average bedload size for the Lower, Middle,
Upper (site 1, 2, 3 and 4)
25
Key
Stone Size in cm
20
15
10
5
0
Site 1
Site 2
5
Site 3
3. Relationship between bedload size and shape (Graph 10)
This graph tries to show if there is a relationship between bedload size and shape.
To do this you draw a scatter graph. You could draw a scatter graph for each of the
sites (but make sure the scale is the same so you can compare. It is then good to
put all the data onto ONE graph. You should do this on the computer. It will look
like the graph below
Graph 10: Scatter Graph to show the relationship between bedload size and bedload shape for the Lower,
Middle, Upper course (Sites 1,2,3 and 4)
6
Bedlaod shape
5
4
Key
3
2
1 = Well Rounded
2 = Rounded
3 = Sub angular
etc
1
0
0
10
20
30
= line of best fit
40
Bedload size (cm)
To do this on the computer, follow these steps:
a. Add the data to an excel spread sheet e.g
b. Highlight the bedload size and bedload shape
column and select ‘Scatter’.
Bedlaod
number
Bedload size
28
3
2
22
3
3
18
2
4
12
2
5
6
1
6
8
1
7
32
4
8
19
2
9
11
2
10
6
1
11
12
1
12
45
4
13
18
4
14
35
5
15
16
2
16
12
2
17
18
3
18
25
3
19
28
3
20
36
4
21
45
5
22
9
1
etc
6
Bedlaod shape
1
etc
c. Select ‘Marked Scatter’ graph
d. Click in ‘Chart Layout’
e. Add in ‘Chart Title’ and ‘Axis Title’, remove the ‘Legend’. You could add ‘Gridlines’
f. To ensure they all have the same axis scale, click ‘Axes’ , select ‘Axis options’ follow
Click ‘Scale’ and check the unit scales below are
the same for each of your scatter graphs
h. Your Scatter graph should look like
this:
Bedload Shape [see key for
value definitions]
g. Finally add ‘Trendline’ or line of best fit. Select ‘Linear Trendline’
7
6
Scatter Graph Showing the Relationship
between Bedload size and Shape at .....
5
4
3
2
1
0
0
20
40
Bedload size in cm
60
Data Presentation Checklist
Hypothesis A
1.
Av Depth (x1) ICT or Handdrawn
2.
Width (x1) ICT or Handdrawn
3.
Cross sectional area (x1) ICT or Handdrawn
4.
Channel shape (x3) Handdrawn (one per Course)
Hypothesis B
7.
Avg Velocity (x1) ICT or Handdrawn
Hypothesis C
8.
Av Bedload shape (x1) ICT or Handdrawn
9.
Av Bedload size (x1) ICT or Handdrawn
10.
Relationship Bedload Size/Shape ICT (x1 or more)
There are 10 compulsory graphs for this coursework
Marking Criteria
(Section B: Data Presentation Marking)
Band 1 (1–3 marks)
The candidate makes some effort to present the data collected using simple
graphical and mapping techniques.
Band 2 (4–7 marks)
The candidate demonstrates some ability to sort the data collected and identify it for
inclusion in each presentation technique. The candidate’s techniques of presentation
are generally appropriate and some use is made of ICT.
Band 3 (8–10 marks)
The candidate demonstrates the ability to sort the data collected and to use
presentation techniques to illustrate relevant sets of data. The candidate
demonstrates a high level of competence using ICT in the construction of the
appropriate presentation techniques.
8