function [cmap]=ksncolor(n) % % Usage: % [cmap]=KsnColor(n); % % Description: % Function to generate colormap for channel steepness data % % Required Inputs: % n - scalar number of colors within colormap % % Output: % cmap - nx3 array of values defining colormap. % % Code based off colormap functions provided with TopoToolbox % % Colormap originally generated from function 'cbrewer2' using % 'RdYlGn' C=[... 3.586e-16 0.40784 0.21569 0 0.4166 0.22143 0 0.42527 0.22704 0 0.43384 0.23251 0 0.44233 0.23783 0 0.4507 0.24299 0 0.45897 0.24798 0 0.46712 0.25279 0 0.47515 0.25741 0 0.48304 0.26184 0 0.4908 0.26605 0 0.49841 0.27005 0 0.50586 0.27381 0 0.51316 0.27732 0 0.52028 0.28058 0 0.52723 0.28356 0 0.53399 0.28624 0 0.54055 0.28862 0 0.54692 0.29067 0 0.55306 0.29237 0.005131 0.55936 0.29452 0.021862 0.56624 0.29811 0.041278 0.57303 0.30165 0.060279 0.57973 0.30515 0.077614 0.58634 0.30861 0.094001 0.59286 0.31203 0.10974 0.59928 0.31541 0.12466 0.60563 0.31879 0.13891 0.61193 0.32215 0.15265 0.61816 0.3255 0.16597 0.62434 0.32883 0.17895 0.63046 0.33214 0.19164 0.63651 0.33543 0.20408 0.64251 0.33869 0.2163 0.64845 0.34192 0.22831 0.65434 0.34511 0.24015 0.66017 0.34827 0.25181 0.66594 0.35138 0.26332 0.67165 0.35444 0.27467 0.67731 0.35745 0.28588 0.68291 0.36041 0.29694 0.68846 0.36331 0.30787 0.69396 0.36615 0.31866 0.6994 0.36892 0.32932 0.7048 0.37163 0.33984 0.71014 0.37425 0.35022 0.71543 0.3768 0.36046 0.72067 0.37927 0.37056 0.72587 0.38165 0.38052 0.73102 0.38394 0.39034 0.73612 0.38614 0.4 0.74118 0.38824 0.4097 0.74617 0.39009 0.41961 0.7511 0.39159 0.42969 0.75595 0.39277 0.43991 0.76073 0.39366 0.45023 0.76544 0.3943 0.46064 0.77008 0.39472 0.47109 0.77466 0.39497 0.48157 0.77918 0.39508 0.49205 0.78365 0.39509 0.50252 0.78805 0.39503 0.51296 0.7924 0.39494 0.52334 0.7967 0.39486 0.53365 0.80095 0.39484 0.54387 0.80515 0.39491 0.55399 0.80931 0.39511 0.564 0.81343 0.39549 0.57388 0.8175 0.39608 0.58363 0.82155 0.39692 0.59321 0.82555 0.39807 0.60264 0.82953 0.39956 0.61189 0.83348 0.40143 0.62094 0.8374 0.40372 0.6298 0.8413 0.40648 0.63844 0.84519 0.40975 0.64686 0.84905 0.41356 0.65507 0.8529 0.4179 0.66325 0.85673 0.42238 0.67142 0.86052 0.42696 0.67959 0.86427 0.43161 0.68775 0.868 0.43634 0.6959 0.87169 0.44114 0.70403 0.87534 0.446 0.71214 0.87896 0.45093 0.72023 0.88255 0.45592 0.72829 0.88609 0.46095 0.73632 0.8896 0.46604 0.74432 0.89307 0.47117 0.75228 0.8965 0.47634 0.7602 0.8999 0.48154 0.76808 0.90325 0.48678 0.77592 0.90656 0.49204 0.7837 0.90982 0.49732 0.79143 0.91305 0.50262 0.79911 0.91623 0.50793 0.80672 0.91937 0.51325 0.81428 0.92247 0.51857 0.82176 0.92552 0.5239 0.82918 0.92852 0.52922 0.83652 0.93148 0.53453 0.84379 0.93439 0.53982 0.85098 0.93725 0.5451 0.85814 0.94019 0.55088 0.86531 0.94331 0.55763 0.87247 0.94657 0.56523 0.87961 0.94996 0.5736 0.88671 0.95344 0.58262 0.89376 0.95699 0.5922 0.90073 0.96057 0.60224 0.90762 0.96418 0.61263 0.9144 0.96777 0.62328 0.92106 0.97131 0.63409 0.92759 0.97479 0.64496 0.93396 0.97817 0.65579 0.94018 0.98142 0.66648 0.94623 0.98453 0.67694 0.95209 0.98745 0.68707 0.95775 0.99016 0.69677 0.96321 0.99263 0.70595 0.96846 0.99483 0.7145 0.97348 0.99674 0.72234 0.97826 0.99833 0.72936 0.98281 0.99957 0.73546 0.9871 1 0.74056 0.99114 1 0.74454 0.9949 1 0.74732 0.99837 1 0.7488 1 0.99946 0.74889 1 0.99799 0.74763 1 0.99604 0.74511 1 0.99363 0.74144 1 0.99078 0.73668 1 0.98753 0.73093 1 0.98389 0.72429 1 0.97991 0.71684 1 0.9756 0.70867 1 0.971 0.69986 1 0.96612 0.69051 1 0.961 0.6807 1 0.95567 0.67053 1 0.95014 0.66008 1 0.94446 0.64944 1 0.93863 0.63869 1 0.93269 0.62793 1 0.92667 0.61725 1 0.92059 0.60672 1 0.91448 0.59645 1 0.90835 0.58652 1 0.90224 0.57702 0.99913 0.89617 0.56804 0.99796 0.89016 0.55966 0.99693 0.88424 0.55199 0.99608 0.87843 0.5451 0.99541 0.87257 0.53858 0.99489 0.86648 0.53197 0.99452 0.86017 0.52528 0.99426 0.85366 0.51852 0.99412 0.84695 0.51171 0.99406 0.84005 0.50485 0.99407 0.83297 0.49796 0.99415 0.82573 0.49106 0.99427 0.81833 0.48415 0.99443 0.81078 0.47725 0.9946 0.80309 0.47036 0.99478 0.79528 0.46351 0.99495 0.78734 0.45671 0.9951 0.7793 0.44996 0.99523 0.77116 0.44328 0.99531 0.76293 0.43668 0.99534 0.75463 0.43017 0.9953 0.74625 0.42378 0.9952 0.73782 0.4175 0.99501 0.72934 0.41135 0.99473 0.72083 0.40534 0.99436 0.71229 0.39949 0.99388 0.70373 0.3938 0.99328 0.69517 0.38829 0.99256 0.68662 0.38298 0.99175 0.67805 0.37784 0.99101 0.66927 0.37279 0.99035 0.66025 0.3678 0.98975 0.65101 0.36286 0.9892 0.64157 0.35799 0.98867 0.63193 0.35317 0.98814 0.62212 0.34839 0.98759 0.61215 0.34367 0.98701 0.60204 0.33899 0.98638 0.59181 0.33434 0.98568 0.58146 0.32974 0.98489 0.57103 0.32517 0.98401 0.56052 0.32063 0.983 0.54996 0.31612 0.98186 0.53937 0.31164 0.98058 0.52877 0.30717 0.97914 0.51817 0.30272 0.97752 0.50761 0.29828 0.97572 0.49711 0.29385 0.97372 0.48668 0.28943 0.9715 0.47636 0.285 0.96907 0.46618 0.28057 0.9664 0.45617 0.27614 0.96348 0.44635 0.27169 0.9603 0.43677 0.26723 0.95686 0.42745 0.26275 0.95332 0.41823 0.25824 0.94983 0.4089 0.25373 0.94637 0.39949 0.24922 0.94293 0.38998 0.24471 0.9395 0.3804 0.24019 0.93605 0.37074 0.23569 0.93256 0.36102 0.23119 0.92903 0.35124 0.2267 0.92543 0.34142 0.22223 0.92175 0.33156 0.21778 0.91797 0.32168 0.21335 0.91408 0.31179 0.20895 0.91006 0.3019 0.20457 0.90589 0.29203 0.20021 0.90157 0.2822 0.1959 0.89708 0.27242 0.19161 0.8924 0.26273 0.18736 0.88752 0.25314 0.18315 0.88242 0.24369 0.17897 0.8771 0.2344 0.17484 0.87153 0.22532 0.17076 0.86571 0.21649 0.16671 0.85962 0.20795 0.16272 0.85325 0.19975 0.15877 0.84658 0.19196 0.15487 0.83965 0.18456 0.15107 0.83266 0.17714 0.14768 0.82566 0.16963 0.14473 0.81864 0.16203 0.1422 0.81158 0.15434 0.14007 0.8045 0.14657 0.13831 0.79737 0.13871 0.13692 0.7902 0.13076 0.13585 0.78298 0.12272 0.1351 0.7757 0.11459 0.13464 0.76836 0.10637 0.13444 0.76095 0.098055 0.13448 0.75347 0.089642 0.13473 0.74591 0.081126 0.13519 0.73827 0.072502 0.13581 0.73053 0.063759 0.1366 0.72271 0.054887 0.13751 0.71478 0.04587 0.13854 0.70674 0.036728 0.13967 0.69859 0.028346 0.14089 0.69033 0.021029 0.14216 0.68194 0.014768 0.14349 0.67342 0.0095507 0.14485 0.66477 0.0053617 0.14624 0.65599 0.0021845 0.14763 0.64706 0 0.14902 ]; l = length(C); if nargin < 1 n = 256; end cmap = interp1(1:l,C,linspace(1,l,n),'*linear'); end