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所在平台: Udemy |
课程主页: https://www.udemy.com/course/leaflet-practice-oriented-data-visualization-with-js/
课程评论:没有评论
课程名称:使用JS进行以Leaflet为基础的实践导向数据可视化 课程概述:本课程以Leaflet为基础,首先进行简要介绍,然后进入编程环节。我们将使用来自奥地利的真实数据,这些数据基于开放数据,并探讨最重要的文件格式。课程适合初学者,也可以为专业人士提供丰富的学习内容。您将在本课程中学习以下数据和文件格式,并进行可视化: - GPX格式的山地自行车路线 - 奥地利的臭氧值(JSONp格式) - SHP格式的山庄 - SHP格式的自然保护区 在课程中,我们将使用一些Leaflet插件,例如:对几千个数据点进行聚类,利用热图展示臭氧值。 课程结构: - 视频简短(2-5分钟) - 每个视频后可下载所有项目数据 - 可以在每节课后使用经过验证的项目文件开始学习 - 保证无挫折的学习体验,无需烦恼调试和故障排除 - 课程中使用的软件均为开源:XAMPP Apache服务器、Notepad++进行编码、 OpenData作为数据源 完成本课程后,您将能够将自己的地理数据实现到Open-Street-Map中,并使用Leaflet进行可视化。您可以可视化您的GPX轨迹,并进行聚类,以获得更好的概览。机会无限。 期待您的成果,并在在线课程中见到您。 授课教师:Markus Edenhauser
After a brief general unit on leaflet, we start programming. We use real data from Austria based on OpenData and look at the most important file formats.Suitable for beginners and even professionals can take a lot from the course.In this course you will learn about the following data and file formats and visualize them yourself:Mountain bike routes in GPX formatOzone valuesin Austria - in JSONp formatMountain huts in SHP formatNature reserves in SHP formatWe will use some Lefalet plugins in training - for example:We cluster a few thousand data pointsOzone values are underlaid with a heat mapCourse structure:The videos are kept short (2-5 minutes)After each video there is a save of all project data for downloadIt can be started with my proofed project files after each lessonGuaranteed frustration-free learning without the hassle of troubleshooting and debuggingI use only open source software for this course:XAMPP Apache ServerNotepad++ for codingOpenData for the data sourcesAfter this course you are able to implement your own Geo-Data into an Open-Street-Map with Leaflet. You can visualize your GPX-Tracks and also cluster them for an better overview. The oportunities are endless.I look forward to your results and seeing you in the online course.Markus Edenhauser