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Dr Tom August edited this page Apr 11, 2014 · 15 revisions

This R package includes methods used to analyse trends in unstructured occurrence datasets and a range of useful functions for mapping such data in the UK. The package is currently under development.

Tutorials

We have developed tutorials for a few of the functions in the package:

  • create_weights - A function for creating a frescalo weights file
  • frescalo - A function for using Frescalo (Hill, 2011), a tool for analysing occurrence data when recording effort is not known.
  • maes - A function applying the Maes et al, (2012) method to estimate a percentage change in distribution area.
  • WSS - A function for using the Well Sampled Site analysis used by Roy et al (2011)
  • plot_GIS - A function for plotting GIS data
  • plr - A function for undertaking a Power Law Residuals analysis for comparing two time periods.
  • propDiff - A function for calculating the proportional difference in the number of grid cells occupied between two time periods.
  • sparta - [No longer supported] A function that implements a range of methods used to analyses trends in unstructured occurrence datasets
  • telfer - A function for calculating Telfer's Change Index by comparing time periods.

Installation

To install the development version of sparta, it's easiest to use the devtools package:

# install.packages("devtools")
# NOTE: If you have not installed devtools before you will need to restart you R
# session before installing to avoid problems

library(devtools)
install_github("sparta", username = 'BiologicalRecordsCentre')

library(sparta)

PLEASE NOTE THAT SINCE THIS PACKAGE IS IN DEVELOPMENT THE STRUCTURE AND FUNCTIONALITY OF THE PACKAGE ARE LIKELY TO CHANGE OVER TIME. WE WILL TRY TO KEEP THIS FRONT PAGE AND TUTORIALS UP TO DATE SO THAT IT WORKS WITH THE CURRENT MASTER VERSION ON GITHUB

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