zmap a tool for analyses of seismicity patterns typical applications ...

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lets, for example, assume we want to give a colorful presentation using PowerPoint. The options are almost limitless … but it does take some time. 62
Working with interpolated color maps Interpolated color maps in Matlab look nice, but the tend to be not exportable readily into any program. For quick documentation, such as this document, the copy as bitmap and paste option, or Alt PrintScreen options works out well. If a higher resolution is needed, I often end up using the following approach: 1) Finalize the Figures as much as possible in Matlab. 2) Export it to a jpeg file. The resolution can be set interactively when printing from the command line: print –djpeg –r300 –noui myfig Also, If you want a dark background and Matlab defaults to white, try: set(gcf,’Inverthardcopy’,’off’) The resolution for Founts is OK at 300 dpi: In PowerPoint, the imported Figure will be too large for a Page, but can be resized while keeping the dpi resolution. You will often notice that thicker lines and bigger, bold fonts work better. Make sure that the background in Matlab is the same you will use in the slide, since it cannot easily be changed. To switch a Matlab figure from black to white and vice versa, use the command line option: whitebg(gcf). In PowerPoint, it is then readily possible to add elements on top, add captions or Figures numbers etc. These figures are generally high enough quality for publication, if they have been save with at least 300 dpi. 63
Page 1 and 2:
ZMAP A TOOL FOR ANALYSES OF SEISMIC
Page 3 and 4:
INTRODUCTION This cookbook is aimed
Page 5 and 6:
Figure 2: Seismicity map of the ent
Page 7 and 8:
Save new mat-file: At this point it
Page 9 and 10:
Narrowing the target of investigati
Page 11 and 12: Figure 11: Resolution map with the
Page 13 and 14: Articles in which tools discussed i
Page 15 and 16: Figure 2.2: Genas1 window. The cumu
Page 17 and 18: Figure 2.5: Comparison of the rates
Page 19 and 20: this case, the routine found that a
Page 21 and 22: cumulative number curve for M>1. ev
Page 23 and 24: Second: One may want to know the am
Page 25 and 26: Figure 3. 5: Z-menu window. Choosin
Page 27 and 28: each node and calculates for every
Page 30 and 31: Again the grid is chosen by using t
Page 33 and 34: Articles in which tools discussed i
Page 35 and 36: Figure 4.2: b-value maps of souther
Page 37 and 38: Figure 4.5: (a) Magnitude of comple
Page 39 and 40: Changes of b-values as a function o
Page 41 and 42: CHAPTER V Stress Tensor Inversions
Page 43 and 44: Inverting for the best fitting stre
Page 45 and 46: of S1 as a bar, and color codes the
Page 47 and 48: Using Gephart’s code An alternati
Page 49 and 50: #define VARIANCE_30 30 change to: #
Page 51 and 52: depicts the misfit value f. Please
Page 53 and 54: Lu, Z., M. Wyss, and H. Pulpan, Det
Page 55 and 56: • First rename mydata into a: a =
Page 57 and 58: CHAPTER VII Tips an tricks for maki
Page 59 and 60: Now lets change the axes setup. Sel
Page 61: Alternatively, you can print from t
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