Update README.md

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 <https://lyux.shinyapps.io/viscover/>. 
+(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 <https://lyux.shinyapps.io/viscover/>. 
 
-> 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).