Outputs from fitted models across the cross-validation scenarios for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'

Three Zenodo repositories are linked to the preprint Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area  (Lasgorceux et al., unpublished, https://hal.science/hal-04616332):

Data, scripts and, code (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052)

Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212)

Supplementary information at (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12541412)

This repository contains the outputs from fitted models across the cross-validation scenarios.

In the folder Ouputs_cross_validation, each species is represented by a .RData file, numbered from 1 to 77 (excluding 7, which corresponds to Bombycilla garrulus; see the preprint for details). This dataset is specifically used to generate Figure 1, which shows the AUC of various cross-validation scenarios. To reproduce this figure in R, place all the files in the Results/Fitted_models folder and run the Models_Outputs.R script located in the Results folder of Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052.

Note: These data have been separated due to memory requirements (23.14GB).

本预印本《面向仅基于偶遇观测数据的时空物种分布建模——以保护区内雀形目（Passerines）鸟类为例》（Lasgorceux等人，未发表，https://hal.science/hal-04616332）关联了3个Zenodo仓储，具体如下：
1. 数据、脚本及代码（Lasgorceux等人，Zenodo，https://doi.org/10.5281/zenodo.12545052）
2. 交叉验证场景下拟合模型的输出结果（Lasgorceux等人，Zenodo，https://doi.org/10.5281/zenodo.12544212）
3. 补充材料（Lasgorceux等人，Zenodo，https://doi.org/10.5281/zenodo.12541412）

本仓储存储交叉验证场景下拟合模型的输出结果。在Ouputs_cross_validation文件夹中，每个物种对应一个编号为1至77的.RData文件（编号7对应雪松太平鸟（Bombycilla garrulus），详细说明详见预印本）。本数据集专用于生成图1，该图展示了各类交叉验证场景下的受试者工作特征曲线下面积（Area Under the Receiver Operating Characteristic Curve，AUC）。若需在R语言环境中复现该图，请将所有文件置于Results/Fitted_models文件夹内，并运行Lasgorceux等人所提供的Zenodo仓储（https://doi.org/10.5281/zenodo.12545052）中Results文件夹内的Models_Outputs.R脚本。

注意：受内存容量限制（总数据量为23.14GB），本数据集已拆分存储。