Data for: An algorithm to reduce a river network or other graph-like polygon to a set of lines

This zip file includes all principal data (vector and raster) used in the figures of the paper:

Schaefer, E. I., and Pelletier, J. D. (submitted), "An algorithm to reduce a river network or other graph-like polygon to a set of lines", Computers & Geosciences

including both inputs to and outputs from the four skeletonization algorithms compared (Zhang and Suen, RivWidthCloud, DeepRiver, and the one presented), as well as some intermediate products. The (Python 2) code implementation of the skeletonization algorithm presented in that paper is also included, along with a manual. In short, the contents, by directory, are:
numgeo_code: numgeo 0.0.2a0, the code described in the paper
numgeo_sample_data: data used in figures and analysis in the paper
numgeo_sample_data/constant_width_binary_tree_rasters: rater data used in Experiment #1 of the paper
numgeo_sample_data/constant_width_binary_tree_shapefiles: vector data used in Experiment #1 of the paper
numgeo_sample_data/noisy_binary_tree_rasters: rater data used in Experiment #3 of the paper
numgeo_sample_data/noisy_binary_tree_shapefiles: vector data used in Experiment #3 of the paper
numgeo_sample_data/simple_shapefiles: vector data used in illustrative examples
numgeo_sample_data/variable_width_binary_tree_rasters: rater data used in Experiment #2 of the paper
numgeo_sample_data/variable_width_binary_tree_shapefiles: vector data used in Experiment #2 of the paper
numgeo_sample_data/yukon_rasters: rater data used in Experiment #4 of the paper
numgeo_sample_data/yukon_shapefiles: vector data used in Experiment #4 of the paper