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mappestRisk: Create Maps Forecasting Risk of Pest Occurrence

There are three different modules: (1) model fitting and selection using a set of the most commonly used equations describing developmental responses to temperature helped by already existing R packages ('rTPC') and nonlinear regression model functions from 'nls.multstart' (Padfield et al. 2021, <doi:10.1111/2041-210X.13585>), with visualization of model predictions to guide ecological criteria for model selection; (2) calculation of suitability thermal limits, which consist on a temperature interval delimiting the optimal performance zone or suitability; and (3) climatic data extraction and visualization inspired on previous research (Taylor et al. 2019, <doi:10.1111/1365-2664.13455>), with either exportable rasters, static map images or html, interactive maps.

Version: 0.1.2
Depends: R (≥ 4.3.0)
Imports: dplyr, geodata, ggplot2, khroma, nls.multstart, progress, purrr, rTPC, terra, tidyr
Suggests: covr, leaflet, testthat (≥ 3.0.0)
Published: 2025-11-19
DOI: 10.32614/CRAN.package.mappestRisk (may not be active yet)
Author: Darío San-Segundo Molina ORCID iD [aut, cre, cph], A. Márcia Barbosa ORCID iD [aut, cph], Antonio Jesús Pérez-Luque ORCID iD [aut, cph], Francisco Rodríguez-Sánchez ORCID iD [aut, cph]
Maintainer: Darío San-Segundo Molina <dario.ssm2 at gmail.com>
BugReports: https://github.com/EcologyR/mappestRisk/issues
License: GPL (≥ 3)
URL: https://github.com/EcologyR/mappestRisk, https://ecologyr.github.io/mappestRisk/
NeedsCompilation: no
Citation: mappestRisk citation info
Materials: README, NEWS
CRAN checks: mappestRisk results

Documentation:

Reference manual: mappestRisk.html , mappestRisk.pdf

Downloads:

Package source: mappestRisk_0.1.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): mappestRisk_0.1.2.tgz, r-oldrel (arm64): mappestRisk_0.1.2.tgz, r-release (x86_64): mappestRisk_0.1.2.tgz, r-oldrel (x86_64): mappestRisk_0.1.2.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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