"Laboratory Manual For Environmental Geocomputation With R

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 World Clim ESA World Cover SRTM GEE climate change CMIP6 models Black Marble App EEARS GPW UN-adjusted Population MODIS Open Street Map 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.