dynamic-programming-for-min-error-triangulations

DATA:

The raw data can be downloaded at [1] (altimetry data) and [2] (gauge data)

[1]: ESA, 2020. Sea Level CCI ECV dataset: Time series of gridded sea level anomalies (sla). URL: https://catalogue.ceda.ac.uk/uuid/142052b9dc754f6da47a631e35ec4609, doi:10.5270/esa-sea_level_cci-msla-1993_2015-v_2.0-201612. European Space Agency (ESA).

[2]: PSMSL, 2020. Tide gauge data. Retrieved 19 April 2021 from http://www.psmsl.org/data/obtaining/, Tech. Rep. , Permanent Service for Mean Sea Level (PSMSL).

• The needed tide gauge data is the RLR_monthly dataset and should be added into the folder assets/rlr_monthly folder.

• The altimeter Data can be bulk downloaded on the given page and the yearly files that can be found in archive/neodc/esacci/sea_level_data_l4_MSLA/v2.0 should be inserted into the folder assets/altimeter

INPUT:

• Parameter one:

  • reconstruction (default)
  • fixed_edges

• Parameter one:

  • visualization
  • no_visualization(default)

• reconstruction performs the sea surface reconstruction experiments.

• fixed_edges performs the fixed edge graph experiments on random graphs.

• visualization outputs the computed triangulations

OUTPUT:

The output are .csv files in the folder results.

• For the reconstruction_experiments we get the following columns:
  trainingEpoch, reconstructionEpoch, anchorLongitude, anchorLatitude, BLANK,
  order, instanceSize, averageNrOfConnectedComponents, cmax, BLANK,
  trainingError, errorForDelaunayWithTrainingData, reconstructionError, errorForDelaunayWithReconstructionData, BLANK,
  weightPreprocessingTime, geometricPreprocessingTime, optimizationTime, temporalDifference

• For the fixed edge graph experiments we get the following columns:
  order, instanceSize, overallNumberOfCC, avgNumberOfCC,cmax

RUN:

All possible combinations of parameters:

java -jar dynamic_programming_for_MTWT.jar reconstruction
java -jar dynamic_programming_for_MTWT.jar fixed_edges
java -jar dynamic_programming_for_MTWT.jar reconstruction visualization
java -jar dynamic_programming_for_MTWT.jar reconstruction visualization

LICENSE:

This code is released under the GNU Public License (GPL) 3.0.

To read the GPL 3.0, read the file COPYING in this directory.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

NOTES:

NOTE (1): Java SE Development Kit 15.0.1 or newer is needed for the visualization

NOTE (2): If there are any problems reach out to Philip Mayer (mayer@cs.uni-bonn.de)