Geography - data presentation techniques
- Created by: Katy Matey
- Created on: 11-06-18 19:22
View mindmap
- Data presentation techniques -- The river Holford
- Line graph
- One technique is drawing a line graph with distance downstream on the x axis and velocity in m/s on y-axis
- Why this is good
- This clearly shows how our readings changed downstream
- It is easy to read precisely
- You can easily see values
- Why is this bad
- There wer large gaps of over 1km between some sites so the line drawn may not reflect the actual velocity between sites
- It also does not clearly show the location of the sites and the river context -- a map is needed
- Proportional circle map
- I produced a proportional circle map with ArcGIS online where the velocity values were shown as circles of varying sizes
- The size becomes bigger depending on the velocity at each size
- A key was produced to help read the values for each circle
- Benefits
- It clearly shows the data
- It shows where the data was collected
- It shows the map, meaning you can see the factors influencing the results
- You can compare results to background layer eg/ geology
- Problems
- It is not clear what the exact values are
- You do not have any indication of the values between points
- Cross-sectional areas of the river channel
- Using our depth readings across the I drew a scaled diagram of the shape of the river channel
- 4cm on the page equaled 1m in real life
- I drew these to help me see the channel shape and how friction in it will influence velocity
- I could use it to calculate the cross-sectional area and the hydraulic radius to see how they influenced e velocity
- However they will not be fully accurate as we only have 5 depth readings across the channel
- they are Also very time consuming to draw
- Using our depth readings across the I drew a scaled diagram of the shape of the river channel
- Scatter graphs
- This is to show how strong the correlation is between velocity and influencing factors like hydraulic radius
- I drew a scatter graph and drew a trend line to see the strength of the correlation
- I looked to see if the correlation was positive or negative
- I used this to see if the correlation was weak or no correlation
- Data analysis
- HR = CSA/WP
- percentage change = difference in site 1 to 5 value / original x 100
- We had 6 groups at each point, each made 3 measurements= overall we had 18 which we got the mean from
- For the cross sectional area we used the average depth and multiplied it by the average width to get the cross sectional area
- Line graph
Comments
No comments have yet been made