From 4b75d15a6e02774150695ecaf48df4c86844a059 Mon Sep 17 00:00:00 2001 From: Ben Varick Date: Fri, 27 Oct 2023 16:02:47 -0500 Subject: [PATCH] updated README to reflect new script configuration --- README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index d0b7a96..6c5539b 100644 --- a/README.md +++ b/README.md @@ -6,9 +6,10 @@ Downloads USGS data for a given location and makes a pretty map of the rivers. T 1. Clone the repository 2. Edit the extent of the map you want to produce in `extent.csv`. Include lat/long coordinates of two opposite corners (i.e. top-left and bottom-right). 3. Run the scripts: - - `01_download_data.R` - This will take the longest. The whole of Wisconsin downloads ~12GB of data. It downloads the data to a `data/` directory in the repo - - `02_process_data.R` - This loads and processes the data. After the initial run downloading the data for a given extent, you can start with this script. - - `03_make_figures.R` - This generates figures in a `figures/` directory in the repo. + - `01_set_extent.R` - This script sets the data directory and loads the extent from `extent.csv`. + - `02_download_data.R` - This will take the longest. It downloads the data to a `data/` directory in the repo. The whole of Wisconsin downloads ~12GB of data. This script can be skipped after you have already downloaded the data, and the extent is within what you downloaded. + - `03_process_data.R` - This loads and processes the data. After the initial run downloading the data for a given extent, you can start with this script. + - `04_make_figures.R` - This generates figures in a `figures/` directory in the repo. ## required packages/libraries installed: - `R`