From 9a9fbe27d536d78aaa634a854e456be8a4298466 Mon Sep 17 00:00:00 2001 From: XiaodanLyu Date: Fri, 27 Mar 2020 14:42:26 -0500 Subject: [PATCH] Update README.md --- README.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 9872a50..606f21a 100644 --- a/README.md +++ b/README.md @@ -9,14 +9,13 @@ devtools::install_github("XiaodanLyu/viscover") ## Introduction -This tiny package is developed to web-scrape [cropland data -layer](https://nassgeodata.gmu.edu/CropScape/) (CDL) and [soil data +This tiny package is developed to web-scrape USDA-NASS [cropland data +layer](https://nassgeodata.gmu.edu/CropScape/) (CDL) and USDA-NRCS [soil data layer](https://websoilsurvey.sc.egov.usda.gov/App/WebSoilSurvey.aspx) -(SDL) at point-level and small domain. This package also embeds a `Shiny`(Chang et al. 2018) tool to visualize the -two data layers. You can run the tool from R console using `runTool()`. -Or one can find a live tool at . +(SDL) at point-level and small domain. This package also embeds a `Shiny`(Chang et al. 2018) application I developed to visualize the +two data layers. You can run this tool from R console using `runTool()` or interact with this tool lively at . -> This Shiny tool is now featured in the [RStudio Shiny Gallery](https://shiny.rstudio.com/gallery/viscover.html). If you are interested in learning more about my experience or seeking for general advices about R Shiny development, please refer to [this blog post](https://annielyu.com/2020/02/04/viscover-shiny/) I wrote on my personal website. :bowtie: +> This Shiny tool is now featured in the [RStudio Shiny Gallery](https://shiny.rstudio.com/gallery/viscover.html). If you are interested in learning more about my experience or seeking for general advice about R Shiny development, please refer to [this blog post](https://annielyu.com/2020/02/04/viscover-shiny/) I wrote on my personal website. :bowtie: The following screenshot of the tool shows our lovely Iowa State University campus (center grey area) is surrounded by large fields of soybeans (green pixels) and corns (yellow pixels).