14 February, 2022
Code to extract and load DSM and DTM data from the UK's National LIDAR Programme
├── LICENSE
├── README.md <- The top-level README.
├── data
│ └── raw <- The original .asc files. Data are program. extracted to
│ the relevant subfolders (DTM and DSM)
│
├── notebooks <- .Rmd notebooks or .R scripts
│ └── 0.1_data-ingest.Rmd
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures.
│
├── renv.lock <- The 'requirements' file for reproducing the environment,
│ generated with renv::snapshot()
│
├── .Rprofile <- Used to activate renv for new R sessions launched in the project.
│
├── 01_gtit_maps.Rproj <- Shortcut to opening the project if using RStudio
│
├── renv
│ └── activate.R <- The activation script run by the project Rprofile.
│
├── src <- Source code for this project (called as modules from the notebook(s))
│ └── read.R
│
-
Navigate to the folder where you want to install the repository. Then type
git clone https://github.com/nilomr/wytham-canopy-model.git
-
Open the
canopy-model.Rproj
file. Therenv
package, used for dependency management, will be automatically installed if it isn't already. -
In your R console, type
renv::restore(lockfile = "renv.lock")
. This will install the project's R dependencies
— you might still need to manually fix some unresolved system dependencies. -
Open and run the
0.1_data-ingest.Rmd
notebook
- Add renv.lock
- Add contour and nestboxes
- test vegetation model (see here)
2022 | Nilo Merino Recalde | based on the cookiecutter data science project template.