A repo that uses local UCSB examples applied to all of the steps of the Carpentries' Intro to Raster and Vector Data workshop.
Scripts run parallel to the episodes (ep_1.r ep_2.r ...) and create maps 'suitable for publication'. (map1.r, map2.r) as laid out in Maps 1 thru 7 below.
The goal is to produce several nice atlas pages of campus that use all the techniques covered in the Intro to GeoSpatial R Carpentry lesson. (Maybe not the NDVI over time, since we've never ever done that episode.)
We have created a Data Dictionary to help us keep track of names.
1: The repo is set up with a source_data folder
source_data is . git ignored, so it's probably not going to get made
automatically.
2: Run data_prep.r The goal is for this script to download raw data
(into a downloaded_data directory), unzips, and preps any data that's
required for the rAtlas. Its outputs go into source_data
3: now each episode and map should run nicely, opening input data from
the source_data directory. Any data that an episode writes should be
placed in output_data
The narrative of the lesson produces a number of maps, but not particularly well formatted. We'll have 7 well-formatted maps that exist as a shadow to the lesson narrative.
All have a 3 tall x 4 wide aspect ratio, except where noted
(issue #7)
- Extent should be the same as #3 inset of map 7.
- NCOS – for now the new lagoon habitat shapefile
- Water
- Bathymentry and elevation in one layer
- hillshade
- walkways – using bike paths for now
- buildings – for context
- vernal pools:
- vector data to be create via analysis from DEMs
- this will come later
Something like this:
(Issue #8) 
Trees from
ArcGIS Online: Water: NCOS upper lagoon shapefile of bathymetric topo
lines or polygons is it this bird habitat
file?
– yes bird habitats
Vertical 3x4 Western US
Vertical 3x4 Needs to be further zoomed in.
(issue #14) Landscape 4x3 * extended campus will have maptiles background? * Bacara-ish to 254/101
Maps 4-5-6: 
Wide Landscape * A stripped down version of #1
Include a Planet feed. (Issue #15) For starters, this will be several pre-fetched campus images. 4- and 8- bands!
ie: identify vernal pools
Original lesson -- Introduction to Geospatial Raster and Vector Data with R