README.md

fruclimadapt: Evaluation tools for assessing climate adaptation of fruit tree species in R.

License: GPL
v3 Travis (.com) branch CRAN/METACRAN

This package is a compilation of functions for the assessment of climate adaptation and the identification of potential risks for grapevines and fruit trees. Procedures in the package allow to:

----- ## Resources - [Installation](#Instal) - [1. Required packages](#P1) - [2. Example: Estimate the phenology of a peach cultivar](#P2) - [3. Example: Estimate the number and damage caused by spring frosts](#P3)
----- ## Installation You can install the released version of fruclimadapt from [CRAN](https://CRAN.R-project.org) with: wzxhzdk:0 And the development version from [GitHub](https://github.com/) with: wzxhzdk:1 [Menu](#menu)
----- ## Using fruclimadapt ### 1\. Required packages > - **[data.table](https://CRAN.R-project.org/package=data.table)** > - **[lubridate](https://CRAN.R-project.org/package=lubridate)** > - **[tidyverse](https://CRAN.R-project.org/package=tidyverse)** > - **[zoo](https://CRAN.R-project.org/package=zoo)** wzxhzdk:2 [Menu](#menu)
----- ### 2\. Example. Estimate the phenology of a peach cultivar This example shows how to use the functions *hourly\_temps*, *chill\_portions*, *GDH\_linear* and *phenology\_sequential* to estimate the date of occurrence of the phenological stages for a nectarine cultivar, using daily weather data. wzxhzdk:3 [Menu](#menu)
----- ### 3\. Estimate the number and damage caused by spring frosts This example shows how to use the function *spring\_frost* to estimate the number and accumulated damage caused by spring frosts from budbreaking for the same nectarine cultivar used to estimate the phenology in the previous example. wzxhzdk:4 [Menu](#menu) ## Licenses The R/fruclimadapt package as a whole is distributed under [GPL-3 (GNU General Public License version 3)](https://www.gnu.org/licenses/gpl-3.0). ## Author [Carlos Miranda](https://github.com/Carm1r)


Carm1r/fruclimadapt documentation built on May 8, 2023, 12:37 p.m.