Geography - data presentation techniques

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  • 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
    • 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

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