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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
- Bathymetry 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
- ArcGIS Online: Water:
- NCOS upper lagoon shapefile of bathymetric topo lines or polygons is it this bird habitat file? – yes bird habitats
- Shows as dark mode (and I like it)
Map 6 is the top tryptic = Maps 3-4-5 zoom-in.
Portrait 3x4 Western US Does it want water?
Portrait 3x4
- Needs to be further zoomed in?
- populated places needs to be better visualized
- needs water!
- shows as dark mode and I don't like it
- remove degrees
(issue #14) Landscape 4x3 * extended campus will have maptiles background? *
Wide Landscape 9x16ish? * A stripped down version of map #1, symbolized 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








