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In the context of forest sustainability, this book presents the issues related to both global climate change and conservation of biodiversity. It highlights four methodologies and shows how they contribute in overcoming the ecological challenges facing our world. The practical experience presented can be applied to the implementation of successful sustainable forestry policies.
Sustainable forestry --- Forest policy --- Forest management
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Computer Applications in Sustainable Forest Management presents state-of-the-art computer applications in a variety of specialty areas of forestry, including inventory, remote sensing, information management, modelling and visualization, biometrics, forest and harvest planning, bioeconomics and marketing, and decision science for management. This book emphasizes integration, or collaborative use, of computer technologies across different disciplines through interdisciplinary research and development in North America, China, and Europe. It also offers important new insights on how to continue advancing computational technologies in forest management to better achieve the basic goal of sustainable forest management. Case studies demonstrate integration of, or collaboration among, multiple computer applications for sustainable forest management.
Sustainable forestry --- Forest management --- Information technology. --- Forest administration --- Forest plants --- Forest resource administration --- Forest resource management --- Forest stewardship --- Forest vegetation management --- Forestry management --- Forests and forestry --- Stewardship, Forest --- Vegetation management, Forest --- Ecosystem management --- Natural resources --- Forest productivity, Maintenance of long-term --- Long-term forest productivity, Maintenance of --- Maintenance of long-term forest productivity --- Sustainable agriculture --- Management --- Administration --- Control --- Forests and forestry. --- Biology --- Environmental management. --- Nature Conservation. --- Computer science. --- Forestry. --- Computer Appl. in Life Sciences. --- Forestry Management. --- Environmental Management. --- Computer Applications. --- Data processing. --- Forest land --- Forest lands --- Forest planting --- Forest production --- Forest sciences --- Forestation --- Forested lands --- Forestland --- Forestlands --- Forestry --- Forestry industry --- Forestry sciences --- Land, Forest --- Lands, Forest --- Silviculture --- Sylviculture --- Woodlands --- Woods (Forests) --- Agriculture --- Afforestation --- Arboriculture --- Logging --- Timber --- Tree crops --- Trees --- Informatics --- Science --- Conservation of nature --- Nature --- Nature protection --- Protection of nature --- Conservation of natural resources --- Applied ecology --- Conservation biology --- Endangered ecosystems --- Natural areas --- Environmental stewardship --- Stewardship, Environmental --- Environmental sciences --- Conservation --- Bioinformatics . --- Computational biology . --- Forestry management. --- Nature conservation. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Data processing
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Nature protection --- Biology --- Environmental protection. Environmental technology --- Forestry --- Information systems --- Computer. Automation --- biologie --- informatica --- milieubeleid --- natuurbescherming --- bossen
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This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and professionals. The textbook deals with solving specific programming tasks in R, and tasks are organized in terms of gradually increasing R proficiency, with examples getting more challenging as the chapters progress. The main competencies students will acquire from this textbook are: manipulating and processing data tables performing statistical tests creating maps in R This textbook will be useful in undergraduate and graduate courses in Advanced Landscape Ecology, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics. .
Programming languages (Electronic computers). --- Statistics . --- Ecology . --- Programming Languages, Compilers, Interpreters. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Terrestial Ecology. --- Theoretical Ecology/Statistics. --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Ecology --- R (Computer program language) --- GNU-S (Computer program language) --- Domain-specific programming languages --- R (Computer program language).
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This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and professionals. The textbook deals with solving specific programming tasks in R, and tasks are organized in terms of gradually increasing R proficiency, with examples getting more challenging as the chapters progress. The main competencies students will acquire from this textbook are: manipulating and processing data tables performing statistical tests creating maps in R This textbook will be useful in undergraduate and graduate courses in Advanced Landscape Ecology, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics. .
Statistical science --- General ecology and biosociology --- Programming --- statistiek --- ecologie --- programmeertalen
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Since 1997, the Ecosystem Management Decision Support (EMDS) system has been used around the world to support environmental analysis and planning in many different application areas, and it has been applied over a wide range of geographic scales, from forest stands to entire countries. An extensive sampling of this diversity of applications is presented in section 2, in which EMDS application developers describe the varied uses of the system. These accounts, together with the requisite background in section 1, provide valuable practical insights into how the system can be applied in the general domain of environmental management.
Environmental management --- Decision making --- Computer programs. --- EMDS (Computer file) --- Environmental stewardship --- Stewardship, Environmental --- Environmental sciences --- Management --- Ecosystem management decision support --- Environmental management. --- Nature Conservation. --- Environmental Management. --- Conservation of nature --- Nature --- Nature protection --- Protection of nature --- Conservation of natural resources --- Applied ecology --- Conservation biology --- Endangered ecosystems --- Natural areas --- Conservation --- Nature conservation.
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Computer Applications in Sustainable Forest Management presents state-of-the-art computer applications in a variety of specialty areas of forestry, including inventory, remote sensing, information management, modelling and visualization, biometrics, forest and harvest planning, bioeconomics and marketing, and decision science for management. This book emphasizes integration, or collaborative use, of computer technologies across different disciplines through interdisciplinary research and development in North America, China, and Europe. It also offers important new insights on how to continue advancing computational technologies in forest management to better achieve the basic goal of sustainable forest management. Case studies demonstrate integration of, or collaboration among, multiple computer applications for sustainable forest management.
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Statistical science --- General ecology and biosociology --- Programming --- statistiek --- ecologie --- programmeertalen
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Ecological assessment (Biology) --- Ecosystem management --- Expert systems (Computer science) --- Decision making --- Computer programs --- NetWeaver for EMDS
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Ecological assessment (Biology) --- Ecological surveys --- Ecosystem management --- Expert systems (Computer science) --- Decision making --- Computer programs
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