Idp.generic gnu octave full#
Three full scripts of GMT, AWK and GNU Octave programming languages are presented for replicability in the Appendix. Generic Reproducible Parallel Backend for foreach Loops : : EDR: Estimation of the effective dimension reduction (EDR) space : : ff: memory-efficient storage of large data on disk and fast access functions : : FGN: Fractional Gaussian Noise and hyperbolic decay time series model fitting : : gptk.
The results show that the southern part has deeper bathymetric values, vary in geomorphic structure and has steeper gradient slopes comparing to the north, which is caused by the seismicity, volcanism, geologic and tectonic settings. Finally, the geomorphology was analysed and two segments compared. For this purpose, at the next step, the modified tables were converted to GNU Octave language for visualizing and plotting selected profiles. Because the total amount of profiles overstepped 100 (62 and 52 for the northern and southern trench segments), only selected profiles were visualized. The table was then restructured, sorted and reshaped by the AWK script. Therefore, the tables were exported to AWK, a data-driven programming language and a powerful tool for data extraction. These tables were generated by the GMT in its native format and could not be directly processed by the MATLAB/Octave. Besides visualized map, the processed geodata were received in a numerical form as a complex multi-field table for each segment. The GMT was used for cartographic mapping based on the raster ETOPO1 grid and automatic digitizing of the profiles crossing the trench perpendicularly. The initial mapping and geospatial analysis was performed in GMT scripting toolset. Practical research aim is to analyse and compare bathymetry in the southern and northern part of the trench using digitized cross-section profiles. The geographic scope of the research is focused on the Kuril-Kamchatka Trench, north Pacific Ocean. The paper presents a sequential use of the AWK and GNU Octave programming languages integrated with Generic Mapping Tools (GMT) for geospatial data analysis. Eaton, David Bateman, Sren Hauberg Paperback (6'x9'), 568 pages ISBN 095461206X RRP 24.95 (39.