Data for: An algorithm to reduce a river network or other graph-like polygon to a set of lines
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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
本压缩包包含该论文配图所用的全部核心数据（矢量数据与栅格数据）： Schaefer, E. I. 与 Pelletier, J. D.（已投稿），论文题为《将河网或其他类图多边形简化为线状集合的算法》（An algorithm to reduce a river network or other graph-like polygon to a set of lines），刊载于《Computers & Geosciences》。 本数据集包含本次对比的四种骨架化算法（skeletonization algorithm）——张-孙算法（Zhang and Suen）、RivWidthCloud、DeepRiver，以及本文提出的算法——的全部输入与输出数据，同时附带部分中间产物。 本压缩包同时附带本文提出的骨架化算法的（Python 2）代码实现，以及一份操作手册。 简言之，本压缩包按目录结构划分的内容如下： - numgeo_code目录：即论文中提及的numgeo 0.0.2a0版本代码 - numgeo_sample_data目录：论文配图与分析所用的实验数据 - numgeo_sample_data/constant_width_binary_tree_rasters：论文实验一所用的栅格数据 - numgeo_sample_data/constant_width_binary_tree_shapefiles：论文实验一所用的形状文件（shapefile）矢量数据 - numgeo_sample_data/noisy_binary_tree_rasters：论文实验三所用的栅格数据 - numgeo_sample_data/noisy_binary_tree_shapefiles：论文实验三所用的形状文件（shapefile）矢量数据 - numgeo_sample_data/simple_shapefiles：用于演示示例的形状文件（shapefile）矢量数据 - numgeo_sample_data/variable_width_binary_tree_rasters：论文实验二所用的栅格数据 - numgeo_sample_data/variable_width_binary_tree_shapefiles：论文实验二所用的形状文件（shapefile）矢量数据 - numgeo_sample_data/yukon_rasters：论文实验四所用的栅格数据 - numgeo_sample_data/yukon_shapefiles：论文实验四所用的形状文件（shapefile）矢量数据
