The article Euclimatch: An R package for climate matching with Euclidean distance metrics

Climate matching, a tool for predicting non-native species survival in target (recipient) regions, is commonly used in invasive species frameworks such as horizon scanning and screening-level risk assessment protocols. Screening-level risk assessments often require the analysis of many species with limited resources, and climate matching can be advantageous to identify a reduced number of species for more detailed analyses. Additionally, risk screening may require examination of non-native species’ source pools where species occurrence records are not used in model training data. In these instances, climate matching is an effective method for assessing the survival of non-native species or their source pools in a target region and has practical advantages over species distribution models. We introduce the R package Euclimatch for quantitative climate matching with the Euclidean distance algorithm Climatch. The package provides tools for creating a streamlined data-agnostic climate-match..., Raw data were collected from sources cited in the article and in the code. Climate matching analyses were carried out as described in the article. , , # Data from: The article Euclimatch: An R package for climate matching with Euclidean distance metrics

Raw data were accessed from public repositories
Climate data was accessed using the 'geodata' R package in the code but is also accessible from:
Historical period - [https://worldclim.org/data/worldclim21.html](https://worldclim.org/data/worldclim21.html)
Future projections - [https://worldclim.org/data/cmip6/cmip6climate.html](https://worldclim.org/data/cmip6/cmip6climate.html)

The Freshwater Ecoregions of the World data is available from: [https://www.feow.org/download](https://www.feow.org/download)
Global terrestrial surface polygon download from: [https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-land/](https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-land/)

Species occurrences were accessed via GBIF and the code will download the data directly:
Oscar - GBIF.org. 2023a. Astronotus ocellatus (Oscar) Occurrence Download. [https://doi.org/10.15...