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wrappers for GDAL and GRASS-GIS functions to efficiently work with [Hydrography90m](https://essd.copernicus.org/articles/14/4525/2022/essd-14-4525-2022.html) and spatial biodiversity data. The easy-to-use functions process large raster and vector data directly on disk in parallel, such that the memory of R does not get overloaded. This allows creating scalable data processing and analysis workflows in R, even though the data is not processed directly in R.\n\nThe package contains currently these functions: \n\u003cimg src=\"man/figures/function_description_20251211.png\" align=\"left\" /\u003e\n\nWe invite users to test the package and to provide feedback. Please notify us of any possible issues, bugs and feature requests under the [issues tab](https://github.com/glowabio/hydrographr/issues) on the top of this page.\n\n\nInstallation\n-----------\nPlease see the installation guide of the required tools at https://glowabio.github.io/hydrographr/articles/hydrographr.html. Afterwards, use the following lines to install the package in R:\n\n```{r}\ninstall.packages(\"remotes\")\nremotes::install_github(\"glowabio/hydrographr\")\nlibrary(hydrographr)\n```\nThe pdf manual of the `hydrographr` package can be downloaded [here](https://github.com/glowabio/hydrographr/tree/main/man/pdf/hydrographr_1.6.0.pdf).\n\n\nPublication\n-----------\nYou can find more details on the package and its applications in our recently published\n[paper in _Methods in Ecology and Evolution_](https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.14226). \n\n\nPlease cite the hydrographr package as:\n\nSchürz, M., Grigoropoulou, A., Garcia Marquez, J.R., Tomiczek, T., Floury, M., Schürz, C., Amatulli, G., Grossart, H.-P., Domisch, S. (2023). hydrographr: an R package for scalable hydrographic data processing. _Methods in Ecology and Evolution_, [doi:10.1111/2041-210X.14226](https://doi.org/10.1111/2041-210X.14226).\n\nPlease also cite the Hydrography90m data:\n\nAmatulli, G., Garcia Marquez, J.R., Sethi, T., Kiesel, J., Grigoropoulou, A., Üblacker, M., Shen, L., Domisch, S. (2022). Hydrography90m: A new high-resolution global hydrographic dataset. _Earth System Science Data_, 14, 4525–4550, [doi:10.5194/essd-14-4525-2022](https://doi.org/10.5194/essd-14-4525-2022).\n\nIf you're using the environmental data, please also cite the Environment90m data:\n\nGarcia Marquez, J., Amatulli, G., Grigoropoulou, A., Schürz, M., Tomiczek, T., Buurman, M., Bremerich, V., Bego, K. and Domisch, S.: Global datasets of aggregated environmental variables at the sub-catchment scale for freshwater biodiversity modeling, in prep.\n(Please contact the authors for more up-to-date citation info.)\n\n\nWe thank [NFDI4Biodiversity](https://www.nfdi4biodiversity.org/en/) and [NFDI4Earth](https://www.nfdi4earth.de/) for providing the funding that helped us getting the hydrographr package together!\n\n\u003cimg src=\"man/figures/nfdi_logos.png\" align=\"left\" /\u003e\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5281/zenodo.7998072","https://doi.org/10.1111/2041-210X.14226","https://doi.org/10.5194/essd-14-4525-2022"],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/340138","html_url":"https://ost.ecosyste.ms/projects/340138"}