{"doi":"10.32614/cran.package.itsdm","title":"itsdm: Isolation Forest-Based Presence-Only Species Distribution Modeling","abstract":"Collection of R functions to do purely presence-only species distribution modeling with isolation forest (iForest) and its variations such as Extended isolation forest and SCiForest. See the details of these methods in references: Liu, F.T., Ting, K.M. and Zhou, Z.H. (2008) &lt;<a href=\"https://doi.org/10.1109%2FICDM.2008.17\" target=\"_top\">doi:10.1109/ICDM.2008.17</a>&gt;, Hariri, S., Kind, M.C. and Brunner, R.J. (2019) &lt;<a href=\"https://doi.org/10.1109%2FTKDE.2019.2947676\" target=\"_top\">doi:10.1109/TKDE.2019.2947676</a>&gt;, Liu, F.T., Ting, K.M. and Zhou, Z.H. (2010) &lt;<a href=\"https://doi.org/10.1007%2F978-3-642-15883-4_18\" target=\"_top\">doi:10.1007/978-3-642-15883-4_18</a>&gt;, Guha, S., Mishra, N., Roy, G. and Schrijvers, O. (2016) &lt;<a href=\"https://proceedings.mlr.press/v48/guha16.html\" target=\"_top\">https://proceedings.mlr.press/v48/guha16.html</a>&gt;, Cortes, D. (2021) &lt;<a href=\"https://doi.org/10.48550%2FarXiv.2110.13402\" target=\"_top\">doi:10.48550/arXiv.2110.13402</a>&gt;. Additionally, Shapley values are used to explain model inputs and outputs. See details in references: Shapley, L.S. (1953) &lt;<a href=\"https://doi.org/10.1515%2F9781400881970-018\" target=\"_top\">doi:10.1515/9781400881970-018</a>&gt;, Lundberg, S.M. and Lee, S.I. (2017) &lt;<a href=\"https://dm-gatech.github.io/CS8803-Fall2018-DML-Papers/shapley.pdf\" target=\"_top\">https://dm-gatech.github.io/CS8803-Fall2018-DML-Papers/shapley.pdf</a>&gt;, Molnar, C. (2020) &lt;ISBN:978-0-244-76852-2&gt;, Štrumbelj, E. and Kononenko, I. (2014) &lt;<a href=\"https://doi.org/10.1007%2Fs10115-013-0679-x\" target=\"_top\">doi:10.1007/s10115-013-0679-x</a>&gt;. itsdm also provides functions to diagnose variable response, analyze variable importance, draw spatial dependence of variables and examine variable contribution. As utilities, the package includes a few functions to download bioclimatic variables including 'WorldClim' version 2.0 (see Fick, S.E. and Hijmans, R.J. (2017) &lt;<a href=\"https://doi.org/10.1002%2Fjoc.5086\" target=\"_top\">doi:10.1002/joc.5086</a>&gt;) and 'CMCC-BioClimInd' (see Noce, S., Caporaso, L. and Santini, M. (2020) &lt;<a href=\"https://doi.org/10.1038%2Fs41597-020-00726-5\" target=\"_top\">doi:10.1038/s41597-020-00726-5</a>&gt;.","journal":null,"year":2022,"id":314526,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6026,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1013243,"name":"Lei Song","orcid":"0000-0002-4371-1473","position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":null,"created_at":"2026-07-19T00:33:52.047924Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}