Create Maps Forecasting Risk of Pest Occurrence R package mappestRisk version 0.1.2 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. Software Depends: R (>= 4.3.0) Imports: dplyr, geodata, ggplot2, khroma, nls.multstart, progress, purrr, rTPC, terra, tidyr Suggests: covr, leaflet, testthat (>= 3.0.0) Darío San-Segundo Molina <dario.ssm2@gmail.com> Comprehensive R Archive Network (CRAN) Darío San-Segundo Molina [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-7831-9623>), A. Márcia Barbosa [aut, cph] (ORCID: <https://orcid.org/0000-0001-8972-7713>), Antonio Jesús Pérez-Luque [aut, cph] (ORCID: <https://orcid.org/0000-0002-1747-0469>), Francisco Rodríguez-Sánchez [aut, cph] (ORCID: <https://orcid.org/0000-0002-7981-1599>) GPL (>= 3) 2025-11-19 application/tgz https://CRAN.R-project.org/package=mappestRisk doi:10.32614/CRAN.package.mappestRisk