Data Analysis Techniques in Geophysics Using MATLAB

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Explore data processing, analysis, and visualization techniques in geophysics through MATLAB. Learn how to generate synthetic data, calculate mean and standard deviation, select data within a certain range, and plot the results effectively. Embrace the power of MATLAB for geophysical data exploration.


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  1. C E R I C E R I- -7 1 04/ C IV L 7 1 04/ C IV L - -8 1 2 6 D ata A nalysis in 8 1 2 6 D ata A nalysis in G eophysics G eophysics i) Intro to M atlab C ontinued

  2. S ample data processing and selection exercise. M ake a sample random noise data set. F ind the mean, standard deviation and select the data between mean standard deviation (no loops or explicit if statements)

  3. M ake synthetic data M ake synthetic data a=rand(100,1); P lot histogram to see distribution P lot histogram to see distribution hist(a)

  4. N ow calculate the mean and standard deviation m=mean(a) s=std(a) P lot data, line for mean, lines for mean standard dev plot(a,'.') hold on plot([0 100],[m m],'r') plot([0 100],[m+s m+s],'g') plot([0 100],[m-s m-s],'g') indx=find(m-s<a&a<m+s); plot(indx,a(indx),'*')

  5. N ow find all the points whose value is within one standard deviation of the mean using the matlab find function. T his returns the index numbers of the points selected. indx=find(m-s<a&a<m+s); Now plot the selected points using the index as the x value (data is plotted against index) and the selected points. plot(indx,a(indx),'*')

  6. D ata - blue dots. M ean red line M ean standard devaition green lines S elected data - red asterisks.

  7. R edo with normal distribution around zero. N O L O O P S N O E X P L IC IT IF s F ully M atlab vectorized.

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