dssd
Distance Sampling Survey Design
Creates survey designs for distance sampling surveys. These designs can be assessed for various effort and coverage statistics. Once the user is satisfied with the design characteristics they can generate a set of transects to use in their distance sampling survey. Many of the designs implemented in this R package were first made available in our 'Distance' for Windows software and are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). Find out more about estimating animal/plant abundance with distance sampling at < https://distancesampling.org/>.
dssd
Distance Sampling Survey Design
dssd is a package for designing distance sampling surveys. It provides a number of designs including systematic point transect, parallel line transect, zigzag line transect and segment line transect designs.
Using dssd
There are two vignettes within the dssd package to help you get started using dssd:
- GettingStarted: "Getting Started with dssd"
- MultiStrataVignette: "Multiple Strata in dssd"
Getting dssd
The easiest way to get dssd is to install it from CRAN within R-studio or the R interface. We endeavour to make all new functionality available on CRAN in a timely manor. However, if you wish to download the development version with the latest updates immediately you can do this using Hadley Wickham's devtools package:
# First, ensure you have a copy of the `devtools` package:
if (!nzchar(system.file(package = "devtools"))) install.packages("devtools")
then install dssd from github:
library(devtools)
install_github("DistanceDevelopment/dssd", build_vignettes = TRUE)
Troubleshooting tip
During installation of packages, you may get the message "These packages have more recent versions available. It is recommended to update all of them. Which would you like to update?" and then a list of packages. We recommend you typically choose the option "CRAN packages only". Note you may then get the message that some packages cannot be installed because they are already loaded. In this case, a solution may be to note which packages these are, to open an R console (rather than R Studio) and to use the Packages | Update packages menu option (or the update.packages function) to update these packages.