The martelosim R package Quick User guide
Introduction | Preparing your marteloscope field data in the Excel template | If you have installed your marteloscope following the EFI Integrate+ protocol, you will have some data transformation to make and some additional data to inform but it should not be a big deal. For Samsara2, you have to give only one quality to the whole tree. Samsara2 requires a Z coordinate for every tree in order to calculate light interception correctly. If you have not measured it on the field, you can let this variable empty. An approximate Z will be calculated using the marteloscope average slope and exposure. | Prepare your marteloscope field data in the Excel template | Software installation | Installing Java | Installing Capsis | Installing R and Rstudio | Installing the R package | Using the R package | Testing the package on a virtual workshop on the marteloscope of Prelenfrey | Create a directory and an R project to simulate a marteloscope workshop on the marteloscope of your choice | <<<<<<< HEAD- 'Marteloscope inventory path':Click on Browse and develop the pathway up to your Excel data file (ex: Data_Marteloscope_Prelenfrey_en.xlsx) | Run the script 01_start.R | Run the script 02_test.R | Testing the package on your own marteloscope | Create a directory and an R project to simulate a marteloscope workshop on the marteloscope of your choice - Before each exercise | Run the script 01_start.R - Before each exercise | Run the script 02_test.R to test a random marking | Prepare the field tablets - Before going to the field | Make a virtual field marking on your tablet – On the field | Run the script 03_workshop.R to simulate the field marking - After the marking | Evaluate the simulations on your marteloscope | The D-Day : Performing a real marteloscope field and simulation workshop | Preparing your computer and your tablets before the workshop | Import marking files, make the simulations and produce the reports | Other simulation projects with Samsara2 | References