Empowers you to harness the potential of spatial analysis in addressing pressing geological challenges. Can also be used as a textbook either in introductory courses in spatial analysis or in advanced GIS and Digital mapping - comprehensive guide tailored to professionals at all levels.
Empowers you to harness the potential of spatial analysis in addressing pressing geological challenges. Can also be used as a textbook either in introductory courses in spatial analysis or in advanced GIS and Digital mapping - comprehensive guide tailored to professionals at all levels.
Pedro Nogueira received his undergraduate and PhD degrees in Geology from Porto University. He completed the curricular part of an MSc in Engineering Informatics at Évora University. From 1997 to 2022, he was Assistant Professor at Évora university and currently holds the position of Associate Professor. He has more than thirty years of experience as a field geologist and mineral resources specialist. Pedro has worked in diverse countries such as East Timor, Mozambique, and the Dominican Republic. He has published more than 30 peer reviewed papers in international journals and has served as an editor of several books and book chapters. Pedro is a full member of the Earth Sciences Institute and has participated or served as a project leader or researcher, in more than 15 funded projects, several of which are internationally run. His current research interests are centered around the study of gold, copper, iron, and rare earth mineral deposits, interweaved with geochemistry, geophysics, remote sensing, and spatial data analysis - spatial intelligence.
Inhaltsangabe
1. R as a Geologist's Tool.. 2. Getting Started. 3. Reading and Writing Data. 4. Data Cleaning and Manipulation. 5. Functions for Everyday Data Analytics. 6. Basic Statistics. 7. Basic Data Visualisation. 8. Putting It All to Work: Part I. 9. Fundamentals of Spatial Analysis.10. Spatial Objects. 11. Going Vectorial. 12. Handling Spatial Data. 13. Putting It All To Work: Part Ii Vectors. 14. Into the Grid with Rasters. 15. Basic Raster Operations. 16. Terrain Operations. 17. Working with Satellites. 18. Putting It All to Work: Part Ii Rasters. 19. Introduction to Spatial Statistics and Modelling Applied to Geology. 20. Point Pattern Analysis. 21. Interpolating Data. 22. Inverse Distance Weighting (Idw). 23. Kriging. 24. The Way Forward.
1. R as a Geologist's Tool.. 2. Getting Started. 3. Reading and Writing Data. 4. Data Cleaning and Manipulation. 5. Functions for Everyday Data Analytics. 6. Basic Statistics. 7. Basic Data Visualisation. 8. Putting It All to Work: Part I. 9. Fundamentals of Spatial Analysis.10. Spatial Objects. 11. Going Vectorial. 12. Handling Spatial Data. 13. Putting It All To Work: Part Ii Vectors. 14. Into the Grid with Rasters. 15. Basic Raster Operations. 16. Terrain Operations. 17. Working with Satellites. 18. Putting It All to Work: Part Ii Rasters. 19. Introduction to Spatial Statistics and Modelling Applied to Geology. 20. Point Pattern Analysis. 21. Interpolating Data. 22. Inverse Distance Weighting (Idw). 23. Kriging. 24. The Way Forward.
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