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所在平台: Udemy |
课程主页: https://www.udemy.com/course/interactive-map-visualization-with-kepler-gl-and-streamlit/
课程评论：没有评论
**课程名称：** 使用 Kepler.gl 与 Streamlit 进行交互式地图可视化 **课程概览：** 本课程旨在教授学员如何利用 Kepler.gl 高效可视化大规模地理空间数据，并通过 Streamlit 轻松分享交互式地图可视化成果。 * **Kepler.gl 简介：** Kepler.gl 是 Uber 开发的开源工具，能够实时高效地分析和可视化复杂的地理空间数据。 * **Streamlit 简介：** Streamlit 是一个 Python 框架，用于轻松创建交互式 Web 应用程序，特别适用于数据可视化和仪表盘构建。 **课程目标：** 1. **掌握 Kepler.gl Demo UI：** 无需编写代码，直接与 Kepler.gl 界面交互，体验其各项功能，初步了解数据可视化。 2. **使用 Kepler.gl 创建地图可视化：** 在 Google Colab 环境下，学习使用 Kepler.gl 编写代码生成地图可视化。掌握如何提取可视化设置，并根据需求自定义地图。 3. **使用 Streamlit 分享地图可视化：** 学习如何利用 Streamlit 与他人分享交互式地图可视化成果，让用户无需额外操作即可便捷地查看地图并进行空间分析。 4. **应用 Mapbox 自定义地图样式：** 突破默认地图样式的限制，学习使用 Mapbox 应用自定义地图样式，更丰富、更准确地呈现地理细节。
Through this course, you will learn how to visualize large-scale geospatial data using Kepler GL, and easily share interactive map visualizations using Streamlit.Kepler GL is an open-source tool developed by Uber to efficiently analyze and visualize complex geospatial data in real time.Streamlit is a Python framework that allows you to easily create interactive web applications, particularly useful when visualizing data or building dashboards.In this course, you will achieve the following goals:Mastering the Kepler Demo UI: Without writing code, you will directly interact with the Kepler GL interface and experience its various features, gaining a basic understanding of data visualization.Creating Map Visualizations with Kepler GL: Using Google Colab, you will write code to generate map visualizations with Kepler GL. You will learn how to extract visualization settings and use them to customize maps according to your needs.Sharing Map Visualizations with Streamlit: You will learn how to share interactive map visualizations with others using Streamlit, making it easy for users to view the maps and perform spatial analysis without any extra effort.Applying Custom Map Styles with Mapbox: You will overcome the limitations of the default map styles by applying custom map styles with Mapbox to represent geographical details more richly and accurately.
