TrackTrap: Model Cumulative Growing Degree-Days for Pest Monitoring
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 derived environmental variables such as growing degree-day ('GDD') to get useful insights about the pest phenology. This package pulls temperature data from the 'Daymet' application programming interface ('API', <https://daymet.ornl.gov>), or 'Open-Meteo' ('API', <https://open-meteo.com/>) or manual user-supplied CSV file from the California Irrigation Management Information System ('CIMIS', <https://cimis.water.ca.gov>), for a user-specified time period and calculates cumulative growing degree-days. Users provide intended date range, pest of concern, and the geographic coordinates of the trap location to track pest emergence and phenology throughout the growing season.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
daymetr, dplyr, degday, ggplot2, httr, magrittr, utils, rlang |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-08-20 |
| DOI: |
10.32614/CRAN.package.TrackTrap |
| Author: |
Santosh Bhandari [aut, cre],
Lalit Kharel [aut],
Mahesh Ghimire [aut] |
| Maintainer: |
Santosh Bhandari <santoshbhandari4556 at gmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
TrackTrap results |
Documentation:
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