Other packages > Find by keyword >

TrackTrap  

Model Cumulative Growing Degree-Days for Pest Monitoring
View on CRAN: Click here


Download and install TrackTrap package within the R console
Install from CRAN:
install.packages("TrackTrap")

Install from Github:
library("remotes")
install_github("cran/TrackTrap")

Install by package version:
library("remotes")
install_version("TrackTrap", "0.1.0")



Attach the package and use:
library("TrackTrap")
Maintained by
Santosh Bhandari
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-20
Latest Update: 2026-05-20
Description:
Raw data from pest monitoring/traps can be correlated with environmental factors such as temperature, growing degree day etc. to get useful insights about the pest phenology. This package pulls temperature data from the California Irrigation Management Information System ('CIMIS', <https://cimis.water.ca.gov>) or the 'Daymet' application programming interface ('API', <https://daymet.ornl.gov>) for a user-specified time period and calculates cumulative growing degree-days. Users provide pest development thresholds (lower and upper temperatures) and the geographic coordinates of the trap location to track emergence and phenology.
How to cite:
Santosh Bhandari (2026). TrackTrap: Model Cumulative Growing Degree-Days for Pest Monitoring. R package version 0.1.0, https://cran.r-project.org/web/packages/TrackTrap. Accessed 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:28), 0.1.0 (2026-05-20 11:00)
Other packages that cited TrackTrap R package
View TrackTrap citation profile
Other R packages that TrackTrap depends, imports, suggests or enhances
Complete documentation for TrackTrap
Functions, R codes and Examples using the TrackTrap R package
Full TrackTrap package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA