Overview of this book
<p>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.</p>
<p>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.</p>
<p>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.</p>
<p>The code bundle for this video course is available at - <a href="https://github.com/PacktPublishing/Hands-On-Geospatial-Analysis-with-R-and-QGIS-3.4" target="_blank">https://github.com/PacktPublishing/Hands-On-Geospatial-Analysis-with-R-and-QGIS-3.4</a></p>
<h1>Style and Approach</h1>
<p>A step-by-step guide using realistic examples and illustrative slides to help you achieve a full workflow.</p>
