Essential Documentation for the ecochange Package in R

R Package Documentation

Explore valuable documentation and insights to make the most of the ecochange package in R. Get ready to unlock the full potential of the ecochange package!

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Basic details of the ecochange package in R

At R Basics, our goal is to make it easy for you to find documentation about the ecochange package. That’s why we’ve compiled all the key information in one place. Dive into the details below to understand how this package can improve your work.

Title: Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators
Description: Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that document biodiversity change. Freely available ecosystem remote sensing products (ERSP) are downloaded and integrated with data for national or regional domains to derive indicators for EBV in the class ecosystem structure (Pereira et al., 2013) , including horizontal ecosystem extents, fragmentation, and information-theory indices. To process ERSP, users must provide a polygon or geographic administrative data map. Downloadable ERSP include Global Surface Water (Peckel et al., 2016) , Forest Change (Hansen et al., 2013) , and Continuous Tree Cover data (Sexton et al., 2013) .
Author: Wilson Lara Henao [aut, cre], Victor Gutierrez-Velez [aut], Ivan Gonzalez [ctb], Maria C. Londono [ctb]
Maintainer: Wilson Lara Henao
License type: GPL-3

Technical details of the ecochange package in R

R documentation also provides technical details of a package, including its dependencies, enhancements, and compilation requirements. Learning this information will help you master the ecochange package.

Version: In R, a version refers to a specific release of a package and can be used to track changes. To find the version number of the ecochange package in the R console, you can use the packageVersion("ecochange") function.
Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The ecochange package does not have compilation requirements.
Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The ecochange package has the following required dependencies: R (>= 3.5.0), raster, sf, parallel, rasterVis.
Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The ecochange package has the following suggested dependencies: knitr, rmarkdown, curl, xml2, rvest, viridis.
External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The ecochange package does not use any external sources.
Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The ecochange package has the following imported packages: sp, ggplot2, landscapemetrics, tibble, utils, httr, geodata, getPass, methods, rlang, lattice, rasterDT, stats.
Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The ecochange package has no enhancements.

Three data scientists looking at a laptop

Capabilities of the ecochange package in R

R documentation provides comprehensive information about a package, including its functions, datasets, and vignettes. Exploring this information will help you make the most of the ecochange package’s functionalities.

Functions: Functions play a crucial role in R packages. They allow you to perform specific tasks and computations efficiently. To identify the functions in the ecochange package, you can use the ls("package:ecochange") function.
Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify any built-in datasets in the ecochange package, you can use the data(package = "ecochange") function.
Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes you can use the vignette(package = "ecochange") function. This code will display a list of available vignettes you can read.
Citation information: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find the citation information for the ecochange package in the R console, you can use the citation("ecochange") function.

Getting help with the ecochange package in R

If you have trouble using the ecochange package in R, there are several ways to get help.

The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("ecochange") function to retrieve detailed information, examples, and usage instructions.
The ? operator: The ? operator is a shortcut for the help() function. You can simply type ?ecochange to quickly find documentation.
Discussion forums: Online forums are excellent platforms to ask questions, share knowledge, and troubleshoot issues. The most popular forums for R programmers are StackOverflow and Posit Community.

Generate R documentation code

Use R Basics’ code generator tool to effortlessly access essential documentation for the ecochange package within your R environment.



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### Install the {Package} package if not already installed.
if (!require("{Package}")) {
install.packages("{Package}")
}

### Load the {Package} package.
library("{Package}")

### Find details of the {Package} package.
packageDescription("{Package}")

### Explore the capabilities of the {Package} package.
# List of functions
ls("package:{Package}")
# List of datasets
data(package = "{Package}")
# List of vignettes
vignette(package = "{Package}")
# Citation information
citation("{Package}")

### Get help with the {Package} package.
help(package = "{Package}")

Additional R package documentation resources

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