geospatialRUCSBAtlas

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 7 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. (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.

Getting Started

1: Clone this repo.

2: Run new_data_prep.r This script downloads the filder data.zip from our Carentry Google drive into a downloaded_data directory), and unzips it into source_data

3: Now you can run run_every_episode.r or run_ever_map.r to produce output from these data sources. Any data that an episode writes is placed in output_data and any formated maps are placed in images.

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.

Map 1. A wide view of campus with

(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:

Map 2 A stylized thematic map with trees, water, and bikeways

(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

Map 3 An atlas page layout with 4 insets:

Each inset (4-5-6) is a png created by map4-5-6.r. The final ggplots in that script are the inputs for map 3.

map 4 California Overview

Portrait 3x4 Western US

map 5 The Bite of California

Portrait 3x4 Needs to be further zoomed in.

map 6 Extended Campus

(issue #14) Landscape 4x3 * extended campus will have maptiles background? * Bacara-ish to 154/101

Maps 4-5-6:

Map 7 Campus Detail

Wide Landscape 9x16ish? * A stripped down version of #1

Map 3 sketch:

8 RS Imagery

Include a Planet feed. (Issue #15) For starters, this will be several pre-fetched campus images. 4- and 8- bands!

9 Analysis: Find landscape depressions on Campus DEM

ie: identify vernal pools

10 Analysis: Find bike paths that cross water?

Map 12 / Episode 12: 12 months of NDVI Raster Stack

UCSB Carpentry

Original lesson -- Introduction to Geospatial Raster and Vector Data with R