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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 mappestRisk_0.1.2.tar.gz 350.6 KiB
0.1.2 rolling linux/noble R-4.5 mappestRisk_0.1.2.tar.gz 350.7 KiB
0.1.2 rolling source/ R- mappestRisk_0.1.2.tar.gz 286.8 KiB
0.1.2 latest linux/jammy R-4.5 mappestRisk_0.1.2.tar.gz 350.6 KiB
0.1.2 latest linux/noble R-4.5 mappestRisk_0.1.2.tar.gz 350.7 KiB
0.1.2 latest source/ R- mappestRisk_0.1.2.tar.gz 286.8 KiB
0.1.2 2026-04-26 source/ R- mappestRisk_0.1.2.tar.gz 286.8 KiB
0.1.2 2026-04-23 source/ R- mappestRisk_0.1.2.tar.gz 286.8 KiB
0.1.2 2026-04-09 windows/windows R-4.5 mappestRisk_0.1.2.zip 354.5 KiB

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