%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % MARTHE DATASET READ-IN % % Authors: Sonja Surjanovic, Simon Fraser University % Derek Bingham, Simon Fraser University % Questions/Comments: Please email Derek Bingham at dbingham@stat.sfu.ca. % % Copyright 2013. Derek Bingham, Simon Fraser University. % % THERE IS NO WARRANTY, EXPRESS OR IMPLIED. WE DO NOT ASSUME ANY LIABILITY % FOR THE USE OF THIS SOFTWARE. If software is modified to produce % derivative works, such modified software should be clearly marked. % Additionally, 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; version 2.0 of the License. % Accordingly, 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. % % For function details and reference information, see: % http://www.sfu.ca/~ssurjano/ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % OBSERVATIONS: 300 % % INPUT VARIABLES: % % per1 = hydraulic conductivity layer 1 % per2 = hydraulic conductivity layer 2 % per3 = hydraulic conductivity layer 3 % perz1 = hydraulic conductivity zone 1 % perz2 = hydraulic conductivity zone 2 % perz3 = hydraulic conductivity zone 3 % perz4 = hydraulic conductivity zone 4 % d1 = longitudinal dispersivity layer 1 % d2 = longitudinal dispersivity layer 2 % d3 = longitudinal dispersivity layer 3 % dt1 = transversal dispersivity layer 1 % dt2 = transversal dispersivity layer 2 % dt3 = transversal dispersivity layer 3 % kd1 = volumetric distribution coefficient 1.1 % kd2 = volumetric distribution coefficient 1.2 % kd3 = volumetric distribution coefficient 1.3 % poros = porosity % i1 = infiltration type 1 % i2 = infiltration type 2 % i3 = infiltration type 3 % % OUTPUT VARIABLES: % % p102K % p104 % p106 % p2_76 % p29K % p31K % p35K % p37K % p38 % p4b % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% marthe = importdata('marthedata.txt'); marthedata = marthe.data; per1 = marthedata(:, 1); per2 = marthedata(:, 2); per3 = marthedata(:, 3); perz1 = marthedata(:, 4); perz2 = marthedata(:, 5); perz3 = marthedata(:, 6); perz4 = marthedata(:, 7); d1 = marthedata(:, 8); d2 = marthedata(:, 9); d3 = marthedata(:, 10); dt1 = marthedata(:, 11); dt2 = marthedata(:, 12); dt3 = marthedata(:, 13); kd1 = marthedata(:, 14); kd2 = marthedata(:, 15); kd3 = marthedata(:, 16); poros = marthedata(:, 17); i1 = marthedata(:, 18); i2 = marthedata(:, 19); i3 = marthedata(:, 20); p102K = marthedata(:, 21); p104 = marthedata(:, 22); p106 = marthedata(:, 23); p2_76 = marthedata(:, 24); p29K = marthedata(:, 25); p31K = marthedata(:, 26); p35K = marthedata(:, 27); p37K = marthedata(:, 28); p38 = marthedata(:, 29); p4b = marthedata(:, 30);