Environmental Geocomputation with R Textbook and Lab Manual

1. Introduction to Environmental Geocomputation with R.  2. Geographic Representation with Environmental Geocomputation and R.  3. Geographic Database Management Systems with Environmental Geocomputation and R.  4. Space-time Georeferencing with Environmental Geocomputation and R.  5. Spatial Data Models with Environmental Geocomputation and R.  6. Space-time Geovisualization with Environmental Geocomputation and R.  7. Project Elaboration with Environmental Geocomputation and R.  8. Vector Spatial Analysis with Environmental Geocomputation and R.  9. Raster Spatial Analysis with Environmental Geocomputation and R.  10. Vector Geometric Analysis with Environmental Geocomputation and R.  11. Raster Geometric Analysis with Environmental Geocomputation and R.  12. Creating Continuous Surfaces with Environmental Geocomputation and R.  13. Geostatistical Analysis with Environmental Geocomputation and R.  14. Article Elaboration with Environmental Geocomputation and R.

1. Introduction to Environmental Geocomputation with R.  2. Geographic Representation with Environmental Geocomputation and R.  3. Geographic Database Management Systems with Environmental Geocomputation and R.  4. Space-time Georeferencing with Environmental Geocomputation and R.  5. Spatial Data Models with Environmental Geocomputation and R.  6. Space-time Geovisualization with Environmental Geocomputation and R.  7. Project Elaboration with Environmental Geocomputation and R.  8. Vector Spatial Analysis with Environmental Geocomputation and R.  9. Raster Spatial Analysis with Environmental Geocomputation and R.  10. Vector Geometric Analysis with Environmental Geocomputation and R.  11. Raster Geometric Analysis with Environmental Geocomputation and R.  12. Creating Continuous Surfaces with Environmental Geocomputation and R.  13. Geostatistical Analysis with Environmental Geocomputation and R.  14. Article Elaboration with Environmental Geocomputation and R.

Biography

Dr. Marcelo de Carvalho Alves is a professor of Remote Sensing and Geoprocessing at the Federal University de Lavras, Brazil. He received his PhD in 2006 in Agricultural Engineering from the Federal University of Lavras, Brazil. He has published in topography, remote sensing, and geoprocessing. He has over 25 years of extensive experience in data science, digital image processing and modeling using multiscale, multidisciplinary, multispectral and multitemporal concepts applied to different environments. Experimental field-sites include a tropical forest, savanna, wetland, and agricultural fields in Brazil. Over the years, he has built up a large portfolio of research grants mostly relating to agroecosystem management, broadly in the context of vegetation, soil, water, atmosphere, climate, and pest-organisms.