[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-116710-en":3,"doc-seo-116710-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},116710,962075114101,"Seraphina","https://ap-avatar.wpscdn.com/avatar/e000253a75eb197efd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780044092746381165",8,"Research & Report","Laboratory Manual for Environmental Geocomputation with R","Laboratory Manual for Environmental Geocomputation with R provides structured, practice-focused guidance that complements the related textbook by applying natural resource analysis through hands-on exercises and realistic case studies. The learning flow helps students replicate, adapt, and extend methods using new datasets, models, and research directions. Chapters include solved exercises and homework, emphasizing the potentials and limitations of environmental applications. Built around free and open-source R workflows, it supports computational geocomputation and data visualization for undergraduate and graduate learners as well as professionals.","Laboratory Manual for Environmental Geocomputation with  \nR  \nThis 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 datasets, 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.  \nFeatures  \n􀁸 Aims to expand theoretical approaches of environmental geocomputation through multidisciplinary applications using R and R packages.  \n􀁸 Engages students in learning theory through hands-on real-life projects.  \n􀁸 All chapters are structured with solved exercises and homework and encourage readers to understand the potentials and limitations of environments.  \n􀁸 Covers data analysis in free and open-source (FOSS) R platform, which make geocomputation accessible to anyone with a computer.  \n􀁸 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.  \nThis Laboratory 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 skillsets in these areas.  \nLaboratory Manual for Environmental Geocomputation with  \nR  \nMarcelo de Carvalho Alves [0000-0003-3957-328x]  \nDesigned cover image: © Shutterstock  \nFirst edition published 2027 by CRC Press  \n2385 NW Executive Center Drive, Suite 320, Boca Raton FL 33431 and by CRC Press  \n4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RNCRC Press is an imprint of Taylor & Francis Group, LLC © 2027 Marcelo de Carvalho Alves  \nReasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.  \nExcept as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.  \nFor permission to photocopy or use material electronically from this work, access [www.copyright.com](www.copyright.com) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-  \n8400. For works [that are not available on CCC please contact ](that are not available on CCC please contact mpkbookspermissions@tandf.co.uk)[mpkbookspermissions@tandf.co.uk](that are not available on CCC please contact mpkbookspermissions@tandf.co.uk)  \nFor Product Safety Concerns and Information please contact our EU representative [GPSR@taylorandfrancis.com](GPSR@","cbCaialdgyR6qRlh","https://ap.wps.com/l/cbCaialdgyR6qRlh","pdf",28697641,1,321,"English","en",105,"# Contents\n## Chapter 1 Introduction to Environmental Geocomputation with R\n## Chapter 2 Geographic Representation with Environmental Geocomputation and R\n## Chapter 3 Geographic Database Management Systems with Environmental Geocomputation and R\n## Chapter 4 Space-time Georeferencing with Environmental Geocomputation and R\n## Chapter 5 Spatial Data Models with Environmental Geocomputation and R\n## Chapter 6 Space-time Geovisualization with Environmental Geocomputation and R\n## Chapter 7 Project Elaboration with Environmental Geocomputation and R\n## Chapter 8 Vector Spatial Analysis with Environmental Geocomputation and R\n## Chapter 9 Raster Spatial Analysis with Environmental Geocomputation and R\n## Chapter 10 Vector Geometric Analysis with Environmental Geocomputation and R\n## Chapter 11 Raster Geometric Analysis with Environmental Geocomputation and R\n## Chapter 12 Creating Continuous Surfaces with Environmental Geocomputation and R","[{\"question\":\"Who is the Laboratory Manual for, and what prior knowledge is assumed?\",\"answer\":\"It is designed for upper-level undergraduate and graduate programs using GIS and geocomputation, and also serves professionals using geocomputation and image processing.\"},{\"question\":\"How does the manual support learning through practice?\",\"answer\":\"Each chapter uses a structured approach with solved exercises and homework, guiding readers to replicate, adapt, and expand methods for new datasets and models.\"},{\"question\":\"What tools and data sources does the manual emphasize?\",\"answer\":\"It focuses on the free, open-source R platform and incorporates real trends and developments using datasets and services such as WorldClim, ESA WorldCover, SRTM, GEE, and COVID-19 data.\"}]","Laboratory Manual for Environmental Geocomputation with R | 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