RStoolbox | Remote Sensing Data Analysis in R 🛰 | Data Visualization library

Lidar data is simply 3d coordinates, usually in las file format. Сontent example

I am trying to convert Landsat 8 files to reflectance via R / RStoolbox

I am using a script with the following code:

I have made a RGB composite image of a satellite image using ggRGB() from the RStoolbox package. I would like to add a scale bar to the image, but I'm stumped as to how to do this. I would usually use scalebar() from the ggsn package when working with ggmaps() in R, but it doesn't look like it can handle a RasterBrick object as input like like is required for ggRGB().

Here is an example:

I am working with plots of different classes in r, namely tmap (main plots) and ggplot (represent minor information).

I am having some trouble figuring out how to convert my shapefile from a data.frame class to an S4 in R. I have done some reading regarding the setClass function, but do not understand the syntax or if this is the correct way to convert. I have three classes (1, 2, and 3). I will need to rename them to hole, vegetation, and ground. I need this shapefile to be converted because I am using the SpatialPolygonsDataFrame and superClass function for a classification script. Here is the tutorial that I am following. Could someone point me to a easy to understand example on how to do this?