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Hydrographic Generalization Tailored to Dry Mountainous Regions

机译：针对干旱山区的水文综合

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A wide variety of climate and terrain conditions exist in the United States and optimal cartographic generalization techniques for one area of the country may not be suitable for another, particularly when working with surface hydrographic data. This paper presents generalization and data modeling to produce reduced scale versions of hydrographic data for a multi-resolution national data set, The National Map, of the United States Geological Survey (USGS). The approach distinguishes regional differences in geographic factors to demonstrate that knowledge about varying terrain and climate conditions can support the design of tailored generalization operations that preserve distinct hydrographic patterns. Hydrographic generalization procedures are being tailored for different terrain (mountainous, hilly, and flat) and climate (humid and dry) conditions within the United States. We demonstrate using a sequence of automated generalization operations tailored for a dry mountainous subbasin watershed of the United States National Hydrography Dataset (NHD). NHD data for the subbasin, compiled from l:24,000-scale source material, were generalized to create hydrographic data that are appropriate for cartographic mapping at scales between about 1:50,000 and 1:200,000. Generalization results are metrically compared to a l:100,000-scale NHD benchmark through the Coefficient of Line Correspondence (CLC) and the Coefficient of Area Correspondence (CAC). Confidence intervals for the CLC and CAC are generated through a non-parametric bootstrapping approach. These metrics and associated confidence intervals can help establish the geographic extents that are suitable for each set of tailored generalization procedures.
机译：美国存在各种各样的气候和地形条件，并且该国一个地区的最佳制图综合技术可能不适合另一地区，尤其是在处理地表水文数据时。本文介绍了通用化和数据建模，以为多分辨率国家数据集（美国地质调查局（USGS）的国家地图）生成水文数据的缩小比例的版本。该方法区分了地理因素的区域差异，以证明有关变化的地形和气候条件的知识可以支持设计保留特定水文模式的泛化操作。针对美国境内不同的地形（山区，丘陵和平坦）和气候（潮湿和干燥）条件，量身定制了水文综合程序。我们演示了针对美国国家水文数据集（NHD）的干旱山区次流域量身定制的一系列自动化概括操作。从1：24,000比例的原始资料汇编的该子盆地的NHD数据被通用化，以创建适用于制图的水文数据，比例尺约为1：50,000至1：200,000。通过线对应系数（CLC）和面积对应系数（CAC），将广义化结果与1：100,000尺度的NHD基准进行度量比较。通过非参数自举方法生成CLC和CAC的置信区间。这些度量标准和关联的置信区间可以帮助建立适合于每套量身定制的概括过程的地理范围。

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