Mapping fisheries data and spatial analysis tools

Author
Schnute, Jon
Boers, Nicholas
Haigh, Rowan
Couture-Beil, Alex
Chabot, Denis
Grandin, Chris
Johnson, Angus
Wessel, Paul
Antonio, Franklin
Lewin-Koh, Nicholas
Faculty Advisor
Date
2015
Keywords
computer software
Abstract (summary)
This software has evolved from fisheries research conducted at the Pacific Biological Station (PBS) in `Nanaimo', British Columbia, Canada. It extends the R language to include two-dimensional plotting features similar to those commonly available in a Geographic Information System (GIS). Embedded C code speeds algorithms from computational geometry, such as finding polygons that contain specified point events or converting between longitude-latitude and Universal Transverse Mercator (UTM) coordinates. Additionally, we include `C++' code developed by Angus Johnson for the `Clipper' library. Also included are data for a global shoreline and other data sets in the public domain. The R directory `.../library/PBSmapping/doc' offers a complete user's guide, which should be consulted to use package functions effectively.
Publication Information
Schnute, J., Boers, N., Haigh, R., Couture-Beil, A., Chabot, D., Grandin, C., Johnson, A., Wessel, P., Antonio, F., Lewin-Koh, N., Bivand, R. (2015). Mapping fisheries data and spatial analysis tools [PDF]. Retrieved from The R Project for Statistical Computing website: https://cran.r-project.org/web/packages/PBSmapping/PBSmapping.pdf
DOI
Notes
Item Type
Software Documentation
Language
English
Rights
General Public Licence (GNU GPL)