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Introduction to Maps in R Shiny and Leaflet

Link :  Introduction to Maps in R Shiny and Leaflet
 Introduction to Maps in R Shiny and Leaflet
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Building web map applications like a pro  Welcome to the Introduction to Maps in R Shiny and Leaflet course. In this course we will be

What you'll learn
  • R Programming
  • Web Mapping
  • Web GIS Programming
  • Working with dataframes
  • Web mapping with the Leaflet library
  • Building a GIS application
 Description

Welcome to the Introduction to Maps in R Shiny and Leaflet course. In this course we will be

creating a fully functional web gis application using the R programming language. This application

will be comprised of different types of maps ranging from point maps to heatmaps, to choropleth maps.

We will also be using different datasets ranging from dataframes to spatial dataframes, which we

will use to transform and visualize our data on different types of maps, depending on the use case.

Once we have completed the course we will be equipped with extremely valuable skills, that we can

use to build sophisticated web map applications of any kind and tell spatial data stories that almost anyone

can interpret and understand.

Link :  Introduction to Maps in Folium and Python
Introduction to Maps in Folium and Python
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Building web map applications like a pro








Link :  Web Scraping and Mapping Dam Levels in Python and Leaflet
Web Scraping and Mapping Dam Levels in Python and Leaflet
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Building web map applications like a pro








Link :  Create Smart Maps In Python and Leaflet
Create Smart Maps In Python and Leaflet
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An introduction to web gis programming by creating a smart map

What you'll learn
  • Be able to create a full-stack web GIS application from scratch
  • Build a full-stack Django Application
  • Be able to use a 3rd party JavaScript charting library
 Description

Welcome to the Smart Map In Python Tutorial Series. In this tutorial series

we'll be building a python GIS application from scratch using a variety of open

source technologies. The purpose of this tutorial and many more to follow, is to

take geospatial analytics and convert it into a functional application.

We will be powering our application with a PostgreSQL and PostGIS database. In

the front-end we'll use Bootstrap, JavaScript and Ajax. On the server side we'll be

using Python 3 Django combined with use of scientific libraries like pandas, for

our data transformation and conversion operations. The operating system that we

will be working on is Ubuntu Linux 16.04.

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