author: Jamie Montgomery date: February 4 2020 autosize: true
R has become even better at spatial analysis with development of the sf, raster, stars and other packages.
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>Yes, you can do #geospatial in R! Some popular #rspatial packages: sf, raster, ggplot2. (And there's Python and QGIS too, of course.) #rstudioconf @TinaACormier. pic.twitter.com/KFKzcHhu8H
— Pamela Reynolds (@PLNReynolds) January 30, 2020
Basic plotting of spatial data, even with `ggplot`, doesn't let you get a feel for what's going on with your spatial data.
I found myself using ArcGIS/QGIS when wanting to zoom in and explore my data.
With mapview this is no longer necessary!
AKA deleting, adding, editing individual features of a spatial file (usually vectors) is possible with mapedit
I have really only found the need to do this once, for a paper on seaweed aquaculture potential.
All red lines indicating native ranges for seaweed were hand drawn by yours truly using mapedit.
