The .rar file comprises all data and R-scripts needed to replicate our study entitled "Predicting Hotspots for Invasive Species Introduction in Europe" published in Environmental Research Letters. The folder data holds all input data as well as the final datasets used for training the algorithms, in the subfolder A_ML_ready_datasets. The folder descriptives provides tables with descriptive statistics. The folder figures provides files for all figures displayed in the manuscript and the supplementary material as well as visualizations of descriptive statistics for all background approaches in the corresponding subfolders. The folder results holds all generated results. The folder scripts provides all R-scripts used for intermediate computations. The master and master_results scripts coordinate all computations and the generation of results, respectively. Notably, various spatial layers were used to extract point-values of features which subsequently were used to estimate the models and generate the predictions. Here, we only upload the extracted point-values in the data folder. If you are interested in using any of the raw spatial layers, please refer to section 2.1.3. of our publication to find the corresponding references. Alternatively, feel free to reach out to me and I will direct you to the original databases and/or send you the raw spatial layers.

The .rar file comprises all data and R-scripts needed to replicate our study entitled "Predicting Hotspots for Invasive Species Introduction in Europe" published in Environmental Research Letters. The folder data holds all input data as well as the final datasets used for training the algorithms, in the subfolder A_ML_ready_datasets. The folder descriptives provides tables with descriptive statistics. The folder figures provides files for all figures displayed in the manuscript and the supplementary material as well as visualizations of descriptive statistics for all background approaches in the corresponding subfolders. The folder results holds all generated results. The folder scripts provides all R-scripts used for intermediate computations. The master and master_results scripts coordinate all computations and the generation of results, respectively. Notably, various spatial layers were used to extract point-values of features which subsequently were used to estimate the models and generate the predictions. Here, we only upload the extracted point-values in the data folder. If you are interested in using any of the raw spatial layers, please refer to section 2.1.3. of our publication to find the corresponding references. Alternatively, feel free to reach out to me and I will direct you to the original databases and/or send you the raw spatial layers.