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Leaflet practice-oriented data visualization with JS
Rating: 4.5 out of 5(7 ratings)
221 students

Leaflet practice-oriented data visualization with JS

Simple and quickly implementable examples with Leaflet based on Javascript
Last updated 11/2021
English

What you'll learn

  • Leaflet plugins like Heatmap and Cluster
  • GPX, SHP and Geojson data implementation
  • Simple practical examples with Leaflet and OpenData-Austria visualization
  • Data Visualization

Course content

9 sections50 lectures2h 39m total length
  • Course Overview4:02
  • Javascript expectations and implementation1:03
  • Sync points and provided project files1:21

Requirements

  • Basic knowledge in JavaScript, Xampp (=free local server) or web server

Description

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 format

  • Ozone valuesin Austria - in JSONp format

  • Mountain huts in SHP format

  • Nature reserves in SHP format


We will use some Lefalet plugins in training - for example:

  • We cluster a few thousand data points

  • Ozone values are underlaid with a heat map


Course structure:

  • The videos are kept short (2-5 minutes)

  • After each video there is a save of all project data for download

  • It can be started with my proofed project files after each lesson

  • Guaranteed frustration-free learning without the hassle of troubleshooting and debugging


I use only open source software for this course :

  • XAMPP Apache Server

  • Notepad++ for coding

  • OpenData for the data sources


After 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


Who this course is for:

  • Web developers who want to learn data visualization with leaflet (open source)