trackdem

Particle Tracking and Demography

Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.

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Description file content

Package
trackdem
Type
Package
Title
Particle Tracking and Demography
Version
0.4.1
Date
2018-06-26
Author
Marjolein Bruijning, Marco D. Visser, Caspar A. Hallmann, Eelke Jongejans
Maintainer
Marjolein Bruijning
Description
Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.
License
GPL-2
URL
BugReports
https://github.com/marjoleinbruijning/trackdem/issues
Depends
Imports
png, SDMTools, neuralnet, raster, Rcpp, MASS, grDevices, graphics, stats, shiny
LinkingTo
Rcpp, RcppArmadillo,
RoxygenNote
6.0.1
SystemRequirements
Python 2.7, Libav, ExifTool
Suggests
knitr, rmarkdown, testthat
VignetteBuilder
knitr
NeedsCompilation
yes
Packaged
2018-06-26 08:10:27 UTC; marjob
Repository
CRAN
Date/Publication
2018-06-26 08:37:53 UTC

install.packages('trackdem')

0.4.1

2 months ago

https://github.com/marjoleinbruijning/trackdem

Marjolein Bruijning

GPL-2

Imports

png, SDMTools, neuralnet, raster, Rcpp, MASS, grDevices, graphics, stats, shiny

Suggests

knitr, rmarkdown, testthat

Discussions