1. An Exercise in Uneven Data
Compiling Nutrient Data on CalCofi Line 67 for a Spring and Fall Cruise.
Or:
An Exercise in Uneven Data
LT Anna C. (Christy) Bryant

2. CalCofi Grid

4. The Data None of the data was square
Linear interpolation was used to square it
Organization of data was critical for interpolation functions
Not all cruises covered the same distances
One was 425 km, one was 275 km
Occasional instances of ‘no data’
Use of Linear Interpolation helped this for interior points

5. How Linear Interp Works
Profile1=interp1(deep1,prof1,depth); where deep1 is your uneven data and depth is a matrix of your desired outcome: depth=[0:-5:-200];
Basically, you tell Matlab to create straight lines between the data points and get a value at distinct points along the line

6. “Squaring Data”

7. Some Data Points “no data”

8. Other “no data” points were treated...

9. Simple Static Displays
Areas of No Data

10. Then to Animate...
Animation of NO3 concentrations along CalCofi67 from the coast (east) to west for 425km
Depth
(m)
NO3 Concentration

11. Creating Custom Animations..

12. Summary
Data that is uneven in every respect becomes labor intensive to organize
Display, once organized, is highly versatile using MatLab
Keep the program should it ever happen to you!