Spatial Data Science

Part 1. Spatial Data 1. Getting Started 2. Coordinates 3. Geometries 4. Spherical Geometries 5. Attributes and Support 6. Data Cubes Part 2. R for Spatial Data Science 7. Introduction to sf and stars 8. Plotting spatial data 9. Large data and cloud native Part 3. Models for Spatial Data 10. Statistical modelling of spatial data 11. Point Pattern Analysis 12. Spatial Interpolation 13. Multivariate and Spatiotemporal Geostatistics 14. Proximity and Areal Data 15. Measures of spatial autocorrelation 16. Spatial Regression 17. Spatial econometrics models Appendix A. Older R Spatial Packages Appendix B. R basics

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• Software matemático e estatístico
• Hidrologia e da hidrosfera
• Agricultura e indústrias relacionadas
• Ciência agrícola
• Ciência ambiental, engenharia e tecnologia
• Epidemiologia e estatística médica
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Spatial Analysis;Spatial Statistics;Spatiotemporal data;datacubes;geographic information systems;geostatistics;spatial correlation;Data Cubes;Ellipsoidal Coordinates;Coordinate Reference System;Dense;Raster Data;Spatial Weights;Stars Objects;Spatial Index;Counter-clockwise;Spatial Regression;Block Kriging;INLA;Spatiotemporal Interpolation;Spatial Lag;SID;Package Spdep;Air Pollution Variable;Neighbour Object;North Carolina Counties;Package Spatstat;Median House Values;Raster Cell Values;Pixel Time Series;MCMC;Grid Cell