Introduction to Maps in R Shiny and Leaflet

(3 students)
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This course includes:

  • list-favs2 hours, 21 minutes
  • list-favsCPD Accreditation
  • list-favs19 units
  • list-favsFull lifetime access
  • list-favsAccess on mobile and TV
  • list-favsCertificate of completion
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Course Cloud

Key Concepts Covered by This Free Course

  • Learn the fundamentals of maps and spatial data visualization using R Shiny and Leaflet.
  • Install and set up R Shiny and Leaflet in a local environment.
  • Create different types of maps such as OSM, dark, heatmap, and choropleth maps.
  • Understand the principles of spatial data and geocoding.
  • Implement interactive features to maps, such as zooming, panning, and hovering over data points.
  • Develop skills in R Shiny and Leaflet to create customized maps for various data visualization purposes.

Course Overview

This course on Kitchen Gardening introduces learners to the fundamental principles of maps and spatial data visualization using R Shiny and Leaflet. With a focus on interactive features, participants learn to create various types of maps, such as OSM, dark, heatmap, and choropleth maps, to display and explore spatial data.

Throughout the course, learners gain practical experience with R Shiny and Leaflet by setting up a local environment and creating customized maps. The course also covers spatial data principles and geocoding, providing learners with a strong foundation for creating visually appealing and informative maps.

Upon completion of the course, participants are equipped with valuable skills in R Shiny and Leaflet, enabling them to create customized maps for a variety of purposes, including data exploration and decision-making.

Course Benefits

This course provides learners with practical knowledge of maps and spatial data visualization using R Shiny and Leaflet. Participants gain experience creating customized maps with interactive features that can be used for data exploration and decision-making.

In addition to the technical skills, learners gain a solid understanding of spatial data principles and geocoding. This foundational knowledge is applicable to a variety of industries and can help participants expand their skills and career opportunities.

By the end of the course, learners have developed a portfolio of customized maps and gained valuable experience with R Shiny and Leaflet, positioning them for success in various industries such as data science, urban planning, and geospatial analysis.

Career Path

  • Geospatial Analyst: Analyze spatial data using geographic information systems (GIS) and create customized maps for various industries.
  • Data Scientist: Use statistical analysis and machine learning algorithms to extract insights from spatial data and create data-driven maps.
  • Urban Planner: Utilize maps and spatial data to inform and make decisions about urban development projects.
  • GIS Developer: Develop and maintain GIS software and systems for businesses and government agencies.
  • Environmental Scientist: Use maps and spatial data to analyze environmental issues and make decisions about conservation and land use.
  • Research Analyst: Collect and analyze spatial data for research projects and create maps to visualize findings.

Course content

  • video Introduction
    00:09:00
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About Course Publisher

Course Cloud
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