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_01.r ep_02.r ... ep_13.r) and create maps 'suitable for publication' (map01.r, map02.r, ... map12.r) as laid out in Maps 1 thru 12 below.
The goals are to produce nice atlas pages of campus that use all of the techniques covered in the Intro to GeoSpatial R Carpentry lesson.
We have created a Data Dictionary to help us keep track of object names and files.
1: Clone this repo.
2: Run scripts/data_prep_new.r This script downloads a folder from
our Carpentry Google drive into a downloaded_data directory), and unzips
it into source_data
3: Now you can run run_every_map.r and run_every_episode.r (in that order)
to produce output from these data sources. Any data that an episode writes is
placed in output_data and any formatted maps are placed in images. Both
are .gitignored. final_output has .png files used in the readme.
4: Script away! Feel free to tackle issues, express issues, or just do work if you see work that needs to be done.
5: Episode scripts produce a number of maps, but not particularly well formatted. They are formated as in the Lesson, with the addition of ggtitles to keep track of where they are generated.
All outputs from map scripts should have a 3 tall x 4 wide aspect ratio, except where noted.
- 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
- bike paths
- buildings – for context
- vernal pools:
- vector data to be create via analysis from DEMs
- this will come later
Something like this:
- ArcGIS Online: Water:
- NCOS upper lagoon shapefile of bathymetric topo lines or polygons is it this bird habitat file? – yes bird habitats
Something like this:
Trees from
Top tryptic is maps 3-4-5 zoom-in. Then Map 6
Portrait 3x4 Western US
Portrait 3x4
Needs to be further zoomed in.
Maps 3-4-5: 
(issue #14) Landscape 4x3 * extended campus will have maptiles background? * Bacara-ish to 154/101
Wide Landscape 9x16ish? * A stripped down version of map #1,
sympolized to match the look of 3-4-5
we used to have a jpg of the whiteboard here.
For starters, this will be one 8-band image
visualized several different ways. Which is an expansion of episode
5.
Something like this:
ie: identify vernal pools. Find elevations > sea level that are surrounded by nearby neighbors that are higher.
Original lesson -- Introduction to Geospatial Raster and Vector Data with R