Rivers of Alaska grouped by SASAP region, 2018

This dataset contains a shapefile (rivers_sasap_final.zip) of the rivers of Alaska, grouped by the regional boundaries of the State of Alaska's Salmon and People (SASAP) project. This is a relatively lightweight file useful for visualization, even at high resolution. Note that because of the aggregation process, this dataset does not contain information on river names or other characteristics. The intermediate file shapefile sasap_rivs_connected_large.zip was generated originally to calculate river distance between points, and is topologically correct. The source data for this dataset comes from the United States Geological Survey (USGS) Hydrographic Geodatabase - Alaska, One Million-Scale Dataset (https://nationalmap.gov/small_scale/atlasftp.html) and the Riverscape Analysis Project river's database (to get Canadian data only). These two datasets were pre-processed using CanadaRAPclip.ipynb and QGIS, creating the larger intermediate shapefile (sasap_rivs_connected_large.zip). This shapefile was joined with a SASAP region shapefile (Jared Kibele. 2018. State of Alaska's Salmon and People Regional Boundaries. Knowledge Network for Biocomplexity. doi:10.5063/F1J964NZ), geometries were simplified and then aggregated by region and stream order using rivers_preprocessing.R More information on the Riverscape Analysis Project is available here: Diane C. Whited , John S. Kimball , John A. Lucotch , Niels K. Maumenee ,Huan Wu , Samantha D. Chilcote & Jack A. Stanford (2012) A Riverscape Analysis Tool Developed to Assist Wild Salmon Conservation Across the North Pacific Rim, Fisheries, 37:7,305-314, DOI: 10.1080/03632415.2012.696009.本数据集包含一份阿拉斯加河流的shapefile文件rivers_sasap_final.zip，该文件按照阿拉斯加州三文鱼与人类（State of Alaska's Salmon and People, SASAP）项目的区域边界进行分组。该文件体量较轻，即便用于高分辨率可视化场景亦能适配。请注意，由于经过聚合处理，本数据集未包含河流名称及其他属性信息。中间产物shapefile文件sasap_rivs_connected_large.zip最初用于计算点位间的河流距离，其拓扑结构完备准确。本数据集的源数据来自美国地质调查局（United States Geological Survey, USGS）水文地理数据库——阿拉斯加百万比例尺数据集（https://nationalmap.gov/small_scale/atlasftp.html），以及河流景观分析项目（Riverscape Analysis Project）的河流数据库（仅用于获取加拿大境内数据）。我们通过CanadaRAPclip.ipynb脚本与QGIS软件对这两份源数据集进行预处理，最终生成体量更大的中间shapefile文件sasap_rivs_connected_large.zip。随后将该shapefile文件与SASAP区域shapefile文件（Jared Kibele. 2018. 阿拉斯加州三文鱼与人类项目区域边界. 生物复杂性知识网络. doi:10.5063/F1J964NZ）进行关联，通过rivers_preprocessing.R脚本对几何形状进行简化，并按区域与河流等级进行聚合。有关河流景观分析项目的更多信息可参考以下文献：Diane C. Whited、John S. Kimball、John A. Lucotch、Niels K. Maumenee、Huan Wu、Samantha D. Chilcote及Jack A. Stanford（2012）《用于北太平洋沿岸野生三文鱼保护的河流景观分析工具》，《渔业（Fisheries）》，第37卷第7期，305-314页，DOI: 10.1080/03632415.2012.696009。