Waterhackweek 2019 Cyberseminar: Visualization of water datasets

Geospatial data, especially those in hydrology, are uniquely suited to compelling and practical visualization. Maps, in particular, are not only tools for developing an initial understanding of a new set of data but are also used widely to disseminate analytical results in a native manner. This seminar will develop both a high-level understanding of the practice of visualizing geospatial data and practical skills in Python for easily creating geospatial visualizations. In particular, we will discuss the importance of (and historical precedent for) creating a visual narrative for the dissemination of information, concerns regarding cartographic projections, a brief overview of common geospatial data types, and provide live demonstrations of common open-source geospatial data visualization packages in Python using hydrologic datasets.

地理空间数据，尤其是水文领域的数据，特别适合进行引人入胜且实用的可视化展示。地图，尤其是地图，不仅是构建对一组新数据初步理解的有效工具，而且广泛用于以原生方式传播分析结果。本研讨会旨在培养对地理空间数据可视化实践的高级理解，以及利用 Python 轻松创建地理空间可视化的实际技能。特别是，我们将讨论创建信息传播视觉叙事的重要性及其历史先例、关于地图投影的担忧、常见地理空间数据类型的简要概述，并通过水文数据集提供常见开源地理空间数据可视化包在 Python 中的实时演示。