Package: SppTrend 0.4

Mario Mingarro

SppTrend: Analyzing Linear Trends in Species Occurrence Data

Provides a methodology to analyze how species occurrences change over time, particularly in relation to spatial and thermal factors. It facilitates the development of explanatory hypotheses about the impact of environmental shifts on species by analyzing historical presence data that includes temporal and geographic information. Approach described in Lobo et al., 2023 <doi:10.1002/ece3.10674>.

Authors:Mario Mingarro [aut, cre], Emilio García-Roselló [aut], Jorge M. Lobo [aut]

SppTrend_0.4.tar.gz
SppTrend_0.4.tar.gz(r-4.7-any)SppTrend_0.4.tar.gz(r-4.6-any)
SppTrend_0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SppTrend/json (API)

# Install 'SppTrend' in R:
install.packages('SppTrend', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 2 scripts 161 downloads 6 exports 43 dependencies

Last updated from:850d406c71. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK241
source / vignettesOK241
linux-release-x86_64OK220
wasm-releaseOK156

Exports:get_elevationget_era5_tmeget_fast_infooverall_trendspp_strategyspp_trend

Dependencies:classclassIntclicpp11DBIdplyre1071farvergenericsggplot2gluegtableisobandKernSmoothlabelinglifecyclemagrittrMASSpatchworkpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfstringistringrterratibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk