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name: ibis.iSDM | ||
title: An Integrated model for BiodIversity distribution projectionS | ||
version: 0.1.0 | ||
author: "Martin Jung, Maximilian Hesselbarth" | ||
maintainer: Martin Jung <[email protected]> | ||
cran: no | ||
repository: https://github.com/iiasa/ibis.iSDM | ||
description: "The ibis.iSDM package provides a series of convenience functions | ||
to fit integrated Species Distribution Models (iSDMs). With integrated models | ||
we generally refer to SDMs that incorporate information from different | ||
biodiversity datasets, external parameters such as priors or offsets with | ||
respect to certain variables and regions. It is highly modular and contains | ||
several helper functions to facilitate model inference and projection, as well as | ||
wrappers to other existing models." | ||
occ_acquisition: no | ||
occ_cleaning: yes | ||
data_integration: yes | ||
env_collinearity: yes | ||
env_process: yes | ||
bias: yes | ||
study_region: yes | ||
backg_sample: yes | ||
data_partitioning: no | ||
mod_fit: yes | ||
mod_tuning: yes | ||
mod_ensemble: yes | ||
mod_stack: yes | ||
mod_evaluate: yes | ||
mod_multispecies: no | ||
mod_mechanistic: yes | ||
pred_general: yes | ||
pred_extrapolation: yes | ||
pred_inspect: yes | ||
post_processing: yes | ||
gui: no | ||
metadata: yes | ||
manuscript_citation: "Jung, M. (2023). An integrated species distribution modelling framework for heterogeneous biodiversity data. Ecological Informatics, 102127." | ||
manuscript_doi: "10.1016/j.ecoinf.2023.102127" |