| Title: | Model Cumulative Growing Degree-Days for Pest Monitoring |
| Version: | 1.0.1 |
| Description: | 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. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| Depends: | R (≥ 3.5) |
| LazyData: | true |
| Imports: | daymetr, dplyr, degday, ggplot2, httr, magrittr, utils, rlang |
| Config/roxygen2/version: | 8.1.0 |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| VignetteBuilder: | knitr |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | no |
| Packaged: | 2026-08-19 21:45:28 UTC; r3113219 |
| Author: | Santosh Bhandari [aut, cre], Lalit Kharel [aut], Mahesh Ghimire [aut] |
| Maintainer: | Santosh Bhandari <santoshbhandari4556@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2026-08-20 06:42:04 UTC |
TrackTrap: Model Cumulative Growing Degree-Days for Pest Monitoring
Description
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.
Author(s)
Maintainer: Santosh Bhandari santoshbhandari4556@gmail.com
Authors:
Santosh Bhandari santoshbhandari4556@gmail.com
Lalit Kharel klalitkharel@gmail.com
Mahesh Ghimire maesghimire@gmail.com
Pipe operator
Description
See magrittr::%>% for details.
Usage
lhs %>% rhs
Arguments
lhs |
A value or the magrittr placeholder. |
rhs |
A function call using the magrittr semantics. |
Value
The result of calling rhs(lhs).
Calculate pest phenology from trap and weather data
Description
Calculate pest phenology from trap and weather data
Usage
calc_pest_phenology(
trap_data,
pest = NULL,
lat = NULL,
lon = NULL,
weather_source = "open_meteo",
cimis_csv_path = NULL,
custom_lower = NULL,
custom_upper = NULL,
custom_flight_interval = NULL,
custom_pest_label = NULL
)
Arguments
trap_data |
Data frame with |
pest |
Pest code (e.g. "FAW"). Optional if custom_lower/custom_upper given. |
lat |
Latitude (required for open_meteo/daymet). |
lon |
Longitude (required for open_meteo/daymet). |
weather_source |
"open_meteo", "daymet", or "cimis_csv". |
cimis_csv_path |
Path to CIMIS CSV (required if weather_source = "cimis_csv"). |
custom_lower |
Optional override for lower threshold (°F). |
custom_upper |
Optional override for upper threshold (°F). |
custom_flight_interval |
Optional override for flight interval (DD). |
custom_pest_label |
Optional label display if pest is not listed in the database. |
Value
Data frame with cumulative DD columns and lat/lon/year/flight_interval_dd/pest_label attributes.
Fetch Open-Meteo Data
Description
Fetch Open-Meteo Data
Usage
fetch_open_meteo(lat, lon, start_date, end_date = as.character(Sys.Date()))
Arguments
lat |
Latitude. |
lon |
Longitude. |
start_date |
Start date, "YYYY-MM-DD". |
end_date |
End date, "YYYY-MM-DD". Defaults to today. |
Value
A data frame with Date, tmax, tmin (Fahrenheit).
Pest Developmental Thresholds
Description
Pest Developmental Thresholds
Usage
pest_thresholds
Format
A data frame with 90 rows and 5 columns:
- pest_code
Short abbreviation for the pest (e.g., OLFF, NOW).
- pest_name
Common name of the pest.
- lower_thresh
Lower developmental temperature threshold (°F).
- upper_thresh
Upper developmental temperature threshold (°F).
- flight_interval_dd
Cumulative degree-days between successive flight peaks, used by
calc_pest_phenology()to project subsequent flight generations.
Plot trap phenology against accumulated degree-days
Description
Plot trap phenology against accumulated degree-days
Usage
plot_trap_phenology(
pheno_data,
pest = NULL,
year = NULL,
lat = NULL,
lon = NULL,
custom_flight_interval = NULL,
custom_pest_label = NULL
)
Arguments
pheno_data |
Output of calc_pest_phenology(). |
pest |
Optional pest code for database lookup (title, flight interval). |
year |
Optional year label; defaults to pheno_data's "year" attribute. |
lat |
Optional latitude for subtitle; defaults to pheno_data's "lat" attribute. |
lon |
Optional longitude for subtitle; defaults to pheno_data's "lon" attribute. |
custom_flight_interval |
Optional override for flight-line spacing (DD). |
custom_pest_label |
Optional title label if pest is not listed in the database. |
Value
A ggplot object.