finelybook
Laboratory Manual for Environmental Geocomputation with R
Author(s): Marcelo de Carvalho Alves (Author)
- Publisher Finelybook 出版社: CRC Press
- Publication Date 出版日期: August 28, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 308 pages
- ISBN-10: 1041208219
- ISBN-13: 9781041208211
Book Description
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 Rprovides 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.
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Editorial Reviews
About the Author
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.
