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drone4health

Lifecycle: experimental

To provide R users with a new way to obtain ecological metrics related to infectious diseases by processing orthomosaics derived from RGB, multispectral, lidar, thermal and multispectral drones.

Installation

You can install the development version of drone4health from GitHub with:

# install.packages("pak")
pak::pak("harmonize-tools/drone4health")

Example

This is a basic example which shows you how to solve a common problem:

library(drone4health)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)
#>      speed           dist       
#>  Min.   : 4.0   Min.   :  2.00  
#>  1st Qu.:12.0   1st Qu.: 26.00  
#>  Median :15.0   Median : 36.00  
#>  Mean   :15.4   Mean   : 42.98  
#>  3rd Qu.:19.0   3rd Qu.: 56.00  
#>  Max.   :25.0   Max.   :120.00

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.

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MIT
LICENSE.md

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