Model Cumulative Growing Degree-Days for Pest Monitoring R package TrackTrap version 1.0.0 Pest monitoring is crucial, especially during the early season, to understand the distribution and the proliferation of the target pest. Raw count data from pest monitoring/traps can be coupled with environmental variables such as temperature, growing degree-day ('GDD') 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>), the 'Daymet' application programming interface ('API', <https://daymet.ornl.gov>), or 'Open Meteo' ('API', <https://open-meteo.com/>) sequentially for a user-specified time period and calculates cumulative growing degree-days. Users provide pest development thresholds (lower and upper temperatures), pest of concern, and the geographic coordinates of the trap location to track emergence and phenology. Software Depends: R (>= 3.5) Imports: curl, daymetr, degday, dplyr, ggplot2, httr, jsonlite, magrittr, rlang, xml2 Suggests: testthat (>= 3.0.0) Santosh Bhandari <santoshbhandari4556@gmail.com> Comprehensive R Archive Network (CRAN) Santosh Bhandari [aut, cre], Lalit Kharel [aut], Mahesh Ghimire [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=TrackTrap/LICENSE) 2026-06-13 application/tgz https://CRAN.R-project.org/package=TrackTrap doi:10.32614/CRAN.package.TrackTrap