{ "_id": "6a1f0063b401979e7341ad87", "Package": "spm", "Title": "Spatial Predictive Modeling", "Version": "1.2.3", "Date": "2025-09-05", "Authors@R": "person(\"Jin\", \"Li\", email = \"jinli68@gmail.com\", role = c(\"aut\", \"cre\"))", "Description": "Introduction to some novel accurate hybrid methods of\ngeostatistical and machine learning methods for spatial\npredictive modelling. It contains two commonly used\ngeostatistical methods, two machine learning methods, four\nhybrid methods and two averaging methods. For each method, two\nfunctions are provided. One function is for assessing the\npredictive errors and accuracy of the method based on\ncross-validation. The other one is for generating spatial\npredictions using the method. For details please see: Li, J.,\nPotter, A., Huang, Z., Daniell, J. J. and Heap, A. (2010)\n\nLi, J., Heap, A. D., Potter, A., Huang, Z. and Daniell, J.\n(2011) Li, J., Heap, A. D.,\nPotter, A. and Daniell, J. (2011)\n Li, J., Potter, A., Huang,\nZ. and Heap, A. 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