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users can implement their own resampling functions.\nTo cite {sperrorest} in publications, reference the paper by @Brenning2012. \nTo see the package in action, please check the vignette [\"Spatial Modeling Use Case\"](https://giscience-fsu.github.io/sperrorest/articles/spatial-modeling-use-case.html).\n\n## Installation\n\nCRAN release version\n\n```r\ninstall.packages(\"sperrorest\")\n```\n\nDevelopment version\n\n```r\nremotes::install_github(\"giscience-fsu/sperrorest\")\n```\n\n## References\n\nBrenning, A. 2005. Spatial Prediction Models for Landslide Hazards: Review, Comparison and Evaluation. *Natural Hazards and Earth System Sciences* 5 (6). Copernicus GmbH:853–62.\nhttps://doi.org/10.5194/nhess-5-853-2005\n\nBrenning, A. 2012. Spatial Cross-Validation and Bootstrap for the Assessment of Prediction Rules in Remote Sensing: The R Package Sperrorest. In *2012 IEEE International Geoscience and Remote Sensing Symposium*, 5372–5.\nhttps://doi.org/10.1109/IGARSS.2012.6352393\n\nRuss, Georg, and A. Brenning. 2010a. Data Mining in Precision Agriculture: Management of Spatial Information. In *Computational Intelligence for Knowledge-Based Systems Design: 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings*, edited by Eyke Hüllermeier, Rudolf Kruse, and Frank Hoffmann, 350–59. Springer.\nhttps://doi.org/10.1007/978-3-642-14049-5_36\n\nRuss, G., and A. Brenning. 2010b. Spatial Variable Importance Assessment for Yield Prediction\nin Precision Agriculture. In *Lecture Notes in Computer Science*,\n184–95. \nhttps://doi.org/10.1007/978-3-642-13062-5_18\n\nSchratz, P., Muenchow, J., Iturritxa, E., Richter, J., Brenning, A. (2019). Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data. *Ecological Modelling*, 406: 109-120.\nhttps://doi.org/10.1016/j.ecolmodel.2019.06.002\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgiscience-fsu%2Fsperrorest","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgiscience-fsu%2Fsperrorest","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgiscience-fsu%2Fsperrorest/lists"}