\Sorting\... contains images, grain size distribution data, and a sorting map in the form of a matrix

images - 1fine.JPG, 2mediumfine.JPG, 3medium.JPG, 4mediumcoarse.JPG, 5coarse.JPG are sample images used to perform a visual pebble count. These photos correspond to 5 identified patch types implied in the image name.
	In the analysis, the images were all scaled such that 36 pixels is equal to 1 mm.
	100 points were evenly spaced across the image in a grid pattern. The b-axis of the particle at the space point location was measured manually in matlab's imagage processing toolbox.

GSD photosieve analysis - coarse.txt, fine.txt, medium.txt, mediumcoarse.txt,  mediumfine.txt include the data from GSD analysis corresponding to each of the patch types. Their columns are as follows:
	Psi - log2(D)
	D (mm) - particle size bin identifier. greater than and less than or equal to the next size up.
	n - number of particles which fall in corresponding D bin
	p - percent of total particles in each bin
	f - cummulative percent of total number of particles

Roughness map - roughness_grid.txt is a tab delimited grid where rows and columns are spaced 0.005 m apart. NaN values represent areas outside the flume, not part of the channel. 
	The bottom left corener of this file, or (row, column) = (546, 1), is spatially located at (x,y) = (0.001, 0.001). Moving numerically down in rows i.e. from 546 to 545 increases the cell spatial coordinate x, value and numerically up in column values increases the spatial coordinate y, value.
	It is suggested to open this file for viewing with Notepad++ or other data editing software.



