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Focusing on shapefiles and polygons, modifying data attribute tables, and doing simple spatial analysis in R

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R Spatial Analysis Workshop: Vectors (Polygons and Shapefiles)

Spatial R workshop focusing on reading and using shapefiles and polygon layers directly in R. Examples based on Ocean Health Index - British Columbia. Requires a range of spatial packages: sp, rgdal, rgeos, maptools, raster, and the usual suspects: dplyr, tidyr, stringr; optional packages: cleangeo, gdalUtils, ggplot2, RColorBrewer

View the HTML (knitted from the .Rmd): https://rawgit.com/eco-data-science/spatial_analysis2_R/master/spatial_analysis2.html

Download the PDF (knitted from the .Rmd): https://github.com/eco-data-science/spatial_analysis2_R/blob/master/spatial_analysis2.pdf

View the R Markdown document: https://github.com/eco-data-science/spatial_analysis2_R/blob/master/spatial_notes.Rmd

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