UCSBCarpentry / geospatialRUCSBAtlas

A repo to keep track of a set of examples for an R for GeoSpatial workshop. AKA the Ratlas. No rats involved.
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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_1.r ep_2.r ...) and create maps 'suitable for publication'. (map1.r, map2.r) as laid our 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.

Getting Started

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

Map 1. A wide view of campus with

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

(Issue #8) map 2 with tree height map 2 with tree species Stylized, minimalistic Trees from ArcGIS Online: Water: NCOS upper lagoon shapefile of bathymetric topo lines or polygons is it this bird habitat file?

Map 3 An atlas page layout with 4 insets:

map 4 California

Vertical 3x4

map 5 The Bite of California

Vertical 3x4

map 6 Extended Campus

Landscape 4x3

7 Campus Detail

Landscape

Overview map

Maps 4-5-6: Triplet zoom in

Triplet zoom in

Include a Planet feed. (Issue #15)

UCSB Carpentry

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