Some More Watershed Mapping Tricks with
sf and USGS code
Just to make sure that I post something at least annually, I’m jump-starting my posts again. It’s been quite a journey to finish my PhD, and I’m still re-calibrating/re-adjusting. Hopefully I’ll be posting a bit more regularly, instead of annually or semi-annually. For the half-dozen folks that actually read this, if you have additional topics you’d be interested in seeing/reading, please let me know!
But let’s get on to content before this turns into a food blog where the recipe is at the very bottom after 100 pictures of diced tomatoes and artsy grains.
About a year ago, I wrote a series of posts on using the
riverdist packages (among others) to do some stream analysis and make stream maps. Since that time, I feel like the capabilities and content for spatial work in R has exploded. There have been many excellent examples, and kudos to the folks tweeting, posting, and sharing all the code! If you haven’t seen some of the really fantastic visualizations and data wrangling that the USGS OWI folks have been putting out (along with the code!), you’re missing out. Same goes for many others who have posted some great stuff. Here’s just a few interesting examples:
Main objectives of the post:
Assume all of these will be using
- How to grab NHD Streamline data using any spatial polygon
- How to grab waterbodies for a given spatial polgyon
- How to quickly add these to a interactive map in
mapviewor plot with
- How to modify a polygon (e.g., a species range) with the
The main packages I’ll be using for this blog are as follows:
ggplot2for wrangling and plotting
cowplot: an amazingly useful package for formatting/manipulating/making multi plots
sf: core package for working with spatial data
mapview: easy way to make html maps with
smoothr: cool package for simplifying or smoothing polygons in R
Let’s load the packages:
# load libraries library(dplyr) # data munging and piping library(ggplot2) # plotting library(sf) # spatial everything library(mapview) # html mapping library(smoothr) # smoothing spatial objects library(purrr); # wrangling lists and such library(ggrepel) # nice labels in ggplot #library(sbtools) #library(dataRetrieval)
Get a HUC Watershed Boundary
First, let’s use one of the NHD HUC boundaries that we can use as our background for grabbing other data. I’m just using something I have handy, which is HUC8 boundaries for the American/Yuba/Bear watersheds. Alternatively, thanks to the awesome folks over at USGS OWI (David Watkins, David Blodgett, Laura DeCicco, and many more), there’s already plenty of code we can adapt to use to download all sorts of NHD/Watershed things.
For example, we can use some of the code from very han