Leaflet practice-oriented data visualization with JS
Leaflet practice-oriented data visualization with JS, available at $59.99, has an average rating of 4.8, with 50 lectures, based on 5 reviews, and has 213 subscribers.
You will learn about Leaflet plugins like Heatmap and Cluster GPX, SHP and Geojson data implementation Simple practical examples with Leaflet and OpenData-Austria visualization Data Visualization This course is ideal for individuals who are Web developers who want to learn data visualization with leaflet (open source) It is particularly useful for Web developers who want to learn data visualization with leaflet (open source).
Enroll now: Leaflet practice-oriented data visualization with JS
Summary
Title: Leaflet practice-oriented data visualization with JS
Price: $59.99
Average Rating: 4.8
Number of Lectures: 50
Number of Published Lectures: 50
Number of Curriculum Items: 50
Number of Published Curriculum Objects: 50
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Leaflet plugins like Heatmap and Cluster
- GPX, SHP and Geojson data implementation
- Simple practical examples with Leaflet and OpenData-Austria visualization
- Data Visualization
Who Should Attend
- Web developers who want to learn data visualization with leaflet (open source)
Target Audiences
- Web developers who want to learn data visualization with leaflet (open source)
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
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Ozone valuesin Austria – in JSONp format
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Mountain huts in SHP format
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Nature reserves in SHP format
We will use some Lefalet plugins in training – for example:
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We cluster a few thousand data points
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Ozone values are underlaid with a heat map
Course structure:
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The videos are kept short (2-5 minutes)
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After each video there is a save of all project data for download
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It can be started with my proofed project files after each lesson
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Guaranteed frustration-free learning without the hassle of troubleshooting and debugging
I use only open source software for this course :
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XAMPP Apache Server
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Notepad++ for coding
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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
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Overview
Lecture 2: Javascript expectations and implementation
Lecture 3: Sync points and provided project files
Chapter 2: Preperation
Lecture 1: Overview Preperation
Lecture 2: Notepad++ and Themes
Lecture 3: xampp
Lecture 4: what is leaflet and example implementations
Lecture 5: Leaflettjs.com Website
Lecture 6: Themes vor Notepad++
Chapter 3: First Example
Lecture 1: Overview first chapter
Lecture 2: First Map
Lecture 3: Adding a Marker
Lecture 4: Polygons
Lecture 5: Popups
Lecture 6: Leaflet Providers
Lecture 7: Project Data for download
Chapter 4: First Project with GPX files
Lecture 1: Overview GPX Data
Lecture 2: GPX and OpenData
Lecture 3: GPX Plugin
Lecture 4: Visualize GPX files
Lecture 5: GPX start and end icons
Lecture 6: GPX and popup
Lecture 7: Adding more GPX tracks to the page
Lecture 8: Project data for download
Chapter 5: Project ozone levels with JSONP
Lecture 1: Ozon Level Overview
Lecture 2: Cluster plugin
Lecture 3: Plugins and jQuery
Lecture 4: Include ozon levels
Lecture 5: Binding markers to the map
Lecture 6: Clustern
Lecture 7: Add div Icons
Lecture 8: Recap chapter and learnings
Lecture 9: Project Data for download
Chapter 6: Data visualization of the ozone values with heatmap plugin
Lecture 1: Chapter and heatmap overview
Lecture 2: Heatmap introduction and plugin
Lecture 3: Deploy headmap plugin
Lecture 4: Zoomlevel
Lecture 5: Project Data for download
Chapter 7: SHP & GeoJSON data visualization using the example of Tyrolean alpine huts
Lecture 1: Overview SHP and Geojson
Lecture 2: SHP files and GeoJSON
Lecture 3: Alm huts in shp files
Lecture 4: Filter GeoJSON Data
Lecture 5: Bind popup to GeoJSON data
Lecture 6: Clustering GeoJSON data
Lecture 7: Project Data for download
Chapter 8: Data visualization SHP polygons using the example of nature reserves
Lecture 1: overview searching geojson
Lecture 2: Deploy natur reservat in shp files and search plugin
Lecture 3: Implement Nature reserve shp and search function
Lecture 4: Project Data for download
Chapter 9: Conclusion and summary
Lecture 1: Conclusion and recap
Instructors
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Markus Edenhauser
Tech Enthusiast, Dozent & systemischer Coach
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- 4 stars: 1 votes
- 5 stars: 4 votes
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