Hands-On Geospatial Analysis with R and QGIS 3.4 [Video]

Hands-On Geospatial Analysis with R and QGIS 3.4 [Video]

Jane Wang

Create professional and interactive geospatial and cartographic projects using an advanced free and open-source technology
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Hands-On Geospatial Analysis with R and QGIS 3.4 [Video]
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Video Description

Integrating geospatial data science and traditional cartographic methods is in demand for modern geospatial analysts. In an age of flourishing data products, having a working proficiency with QGIS and R is an added advantage to every analyst.

This course introduces you to the full workflow, ranging from acquiring data, data wrangling, and analysis to outputting and publishing visualization products. We touch on a variety of datasets (including remote-sensing data and techniques) and incorporate machine learning in QGIS analytical steps. We further investigate geospatial analysis using the most up-to-date R packages, such as ggplot2, raster, sf, Leaflet, and Shiny.

By the end of the course, you will be able to produce interactive maps and professional cartographic products, deploy them as a Shiny application, and critique a variety of end-results.

The code bundle for this video course is available at - https://github.com/PacktPublishing/Hands-On-Geospatial-Analysis-with-R-and-QGIS-3.4

Style and Approach

A step-by-step guide using realistic examples and illustrative slides to help you achieve a full workflow.

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What You Will Learn

  • Develop a Shiny application for geospatial data processing and visualizations using R and QGIS 3.4.
  • Implement an efficient and reproducible workflow for geospatial analysis.
  • Create interactive and professional mapping products and publish them on open applications. 
  • Conduct advanced geospatial analyses that address practical issues such as land cover using machine algorithms.
  • Use modern and novel techniques to code with best practices.
  • Utilize skills to serve a wide range of groups, including governmental organizations, Academia, consulting firms, and natural-resource industries.
  • Critique a variety of geospatial data products and optimize your geospatial abilities to communicate your findings effectively

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Video Details

ISBN 139781789950052
Course Length2 hours 11 minutes
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