Laboratory Manual for Environmental Geocomputation with R

1. Auflage 2026
ISBN: 978-1-041-20821-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 320 Seiten, Format (B × H): 178 mm x 254 mm

This Laboratory Manual complements the textbook Environmental Geocomputation with R, featuring practical applications for natural resource data analysis through hands-on exercises and case studies using the open-source R platform. Its structured workflow enhances students' understanding of scientific approaches to each case study, teaching them to replicate, adapt, and expand methodologies with new data sets, models, and research areas. Designed for both undergraduate and graduate students in environmental, agricultural, and social sciences, Laboratory Manual for Environmental Geocomputation with R provides a comprehensive foundation in computational environmental analysis while developing transferable skills in data manipulation and visualization.

Features

- Aims to expand theoretical approaches of environmental geocomputation through multidisciplinary applications using R and R packages.

- Engages students in learning theory through hands-on real-life projects.

- All chapters are structured with solved exercises and homework and encourage readers to understand the potential and the limitations of the environments.

- Covers data analysis in free and open-source (FOSS) R platform, which makes geocomputation accessible to anyone with a computer.

- Explores current trends and developments in geocomputation in homework assignments with CBERS-4A, GADM, WorldClim, ESA WorldCover, SRTM, GEE, climate change CMIP6 models, Black Marble, AppEEARS, GPW UN-adjusted Population, MODIS, OpenStreetMap, and COVID-19 data to further explore the use of free applications and geoprocessing concerns.

The Labratory Manual is intended for students in upper-level undergraduate or graduate programs using GIS, geocomputation, geoprocessing in environmental sciences and engineering, surveying, geosciences, and agriculture engineering. It is also an excellent resource for professionals in different areas who use geocomputation and image processing and wish to develop their skillset in these areas.

Zielgruppe

Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

de Carvalho Alves, Marcelo

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Geowissenschaften Geologie GIS, Geoinformatik

Inhaltsverzeichnis

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.

Über Autor(innen)

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.