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Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions

https://instats.org/seminar/introduction-to-spatial-data-and-r-as-a-2?utm_source=dresa

Description:

This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects.

Start: Tuesday, 04 March 2025 @ 21:00

End: Thursday, 06 March 2025 @ 00:00

Timezone: Sydney

Learning Objectives:

Topics Covered
Setting up R and RStudio , Working with spatial data formats , Basic spatial data handling , Introduction to 'sf' library , Importing shapfiles , Customizing map visuals , Automating with loops , Generating multiple maps efficiently , Adding legends and thematic elements , Creating choropleth maps , Classifying spatial data , Different classification methods , Working with point data , Reprojecting data to different CRS , Exporting data to shapefiles , Interactive web maps with R

Eligibility:
  • Open to all

Organiser: Nick Bearman, University College London and Geospatial Training Solutions

Contact: info@instats.org

Host institution: Instats

Cost Basis: Free to all

Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/introduction-to-spatial-data-and-r-as-a-gis-with-nick-bearman-university-college-london-and-geospatial-training-solutions This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects. 2025-03-04 21:00:00 UTC 2025-03-06 00:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []