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Subsetting Operations in R Programming | Geospatial Data Science with R: Lecture 7 (Course Preview)
Overview of simple features spatial data and points
useR! 2020: Spatial data handling and visualization (S. Rochette, D. Scott, J. Nowosad), tutorial
Analyzing Geospatial Data in R (Sherrie Xie)
Edzer Pebesma: Simple features for R / tidy spatial analysis
Applied Spatial Data Analysis with R 7 Spatial Point Pattern Analysis 7.2 Packages for the Analysis
Day 9 - WR674 - Working wtih Raster Data
Applied Spatial Data Analysis with R - 7 Spatial Point Pattern Analysis - 7.3 Preliminary Analysis
CREAF Talks. Edzer Pebesma: Spatial Data Science with R
Edzer Pebesma | Spatial data science in the Tidyverse | RStudio (2019)
Wrangling and manipulating simple feature (sf) objects
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Last Updated: September 22, 2026
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Summary
Here I show you both how to use the amazing lake dataset, LAGOS-NE, from the amazing folks at LAGOS ( lagoslakes.org/) ... This is the first workshop of the A discussion of some of the main packages used to work with Sherrie Xie, Post-doctoral research fellow at the University of Pennsylvania gave a workshop at the Slides available at: edzer.github.io/UseR2017/geostat2018.html. Raster's are an excellent way to explore gridded datasets, with a classic example of gridded Then this whole thing is going to be approximately equal to the exponential of negative lambda pi Edzer Pebesma, University of Muenster " A tutorial demonstrating how to wrangle and manipulate (sf) objects. Discussion of subsetting, filtering, column selection, merging ...
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