Wallace is a modular platform for reproducible modeling of species niches and distributions, written in R. The application guides users through a complete analysis, from the acquisition of data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
Install Wallace via CRAN and run the application with the following R code.
install.packages("wallace") library(wallace) run_wallace()
Development versions can be downloaded from Github with the following R code.
install.packages("devtools") devtools::install_github("wallaceEcoMod/wallace") library(wallace) run_wallace()
Before using Wallace
Update R and RStudio versions
How to run Maxent with maxent.jar
Wallace v184.108.40.206 includes two options to run Maxent models: maxnet and maxent.jar. The former, which is an R implementation and fits the model with the package
glmnet, is now the default and does not require the package
rJava (see Phillips et al. 2017). The latter, which is the Java implementation, runs the
maxent() function in the package
dismo. This function requires the user to place the
maxent.jar file in the
/java directory of the
dismo package root folder. You can download Maxent here, and locate
maxent.jar, which is the Maxent program itself, in the downloaded folder. You can find the directory path to
dismo/java by running
system.file('java', package="dismo") at the R console. Simply copy
maxent.jar and paste it into this folder. If you try to run Maxent in Wallace without the file in place, you will get a warning message in the log window and Maxent will not run.
rJava and Java versions (just for maxent.jar option)
Wallace uses the
rJava package only to run the program
maxent.jar. The package
rJava will not load properly if the version of Java on your computer (32-bit or 64-bit) does not match that of the R installation you are using. For example, if you are running 64-bit R, please make sure your Java is also 64-bit, or else
rJava will be unable to load. Install the latest version of Java here, and 64-bit Windows users should make sure to select "Windows Offline (64-bit)". There is currently only a 64-bit download for Mac OS. For Mac users running OSX Yosemite and above with problems, see this StackOverflow post for some tips on how to get
rJava working again. If you need to install Java for the first time, you can follow these instructions for Mac and Windows.
Problems viewing tables
If for some reason you are unable to view the tables in Wallace, please install (force if necessary) the development version of
htmlwidgets by running this code:
devtools::install_github("ramnathv/htmlwidgets"). You should be able to view tables now.
Windows Users: PDF download of session code
If PDF downloading of session code is not working for you, please follow the following instructions, taken from here:
- Step 1: Download and Install MiKTeX from http://miktex.org/2.9/setup
- Step 2: Run
Sys.getenv("PATH") in R studio. This command returns the path where Rstudio is trying to find pdflatex.exe. In Windows (64-bit), it should return "C:\Program Files\MiKTeX 2.9\miktex\bin\x64\pdflatex.exe". If pdflatex.exe is not located in this location Rstudio gives this error code 41.
- Step 3: To set this path variable run:
Sys.setenv(PATH=paste(Sys.getenv("PATH"),"C:/Program Files/MiKTeX 2.9/miktex/bin/x64/",sep=";")).
Windows Users: Only for Github installation
If you are using Windows, please download and install RTools before installing the
devtools package. After you install RTools, please make sure you add "C:\Rtools\bin" to your PATH variable (instructions here). Additionally, when using
devtools on Windows machines, there is a known bug that sometimes results in the inability to download all package dependencies. If this happens to you, please run this script to install the packages and their dependencies directly from CRAN, and then run the code below.
Any other problems with install_github()
Although the recommended way to install is through CRAN, if you are trying to install the Github version and are having problems, follow these steps.
- Download the zip file from the repository page.
- Unzip and open the wallace.Rproj file in RStudio.
- In the right-hand pane, click Build, then Build & Reload.
run_wallace()in the console and press Enter.