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).

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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

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

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

Markus Edenhauser
Tech Enthusiast, Dozent & systemischer Coach

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5 stars: 4 votes

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