Introduction to spatial statistics
This dataset constitutes an introduction to plotting and mapping and the essential concepts of spatial data management and modeling. And data ready for several examples of regression and classification algorithms (Multiple Linear Regression, Generalized Linear Models, CART and Random Forest), also e...
| Autores: | , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat de Lleida (UdL) |
| Repositorio: | Repositori Obert UdL |
| OAI Identifier: | oai:dnet:.___________::ae8dc7246da09d290f9e4bef5ed69dc7 |
| Acceso en línea: | https://doi.org/10.34810/DATA1784 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer and Information Science Spatial analysis (Statistics) Programming languages (Electronic computers) R (Computer program language) Forestry in Europe |
| Sumario: | This dataset constitutes an introduction to plotting and mapping and the essential concepts of spatial data management and modeling. And data ready for several examples of regression and classification algorithms (Multiple Linear Regression, Generalized Linear Models, CART and Random Forest), also exploring classic interpolation methods (Inverse Distance Weighting and Kriging). |
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