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Titlebook: Individual-based Methods in Forest Ecology and Management; Arne Pommerening,Pavel Grabarnik Textbook 2019 Springer Nature Switzerland AG 2

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發(fā)表于 2025-3-21 19:24:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Individual-based Methods in Forest Ecology and Management
編輯Arne Pommerening,Pavel Grabarnik
視頻videohttp://file.papertrans.cn/464/463729/463729.mp4
概述The integration of methods in individual-based forest ecology is an eye-opener for readers who otherwise would need to read through scattered publications using quite different style, terms and notati
圖書(shū)封面Titlebook: Individual-based Methods in Forest Ecology and Management;  Arne Pommerening,Pavel Grabarnik Textbook 2019 Springer Nature Switzerland AG 2
描述Model-driven individual-based forest ecology and individual-based methods in forest management are of increasing importance in many parts of the world. For the first time this book integrates three main fields of forest ecology and management, i.e. tree/plant interactions, biometry of plant growth and human behaviour in forests. Individual-based forest ecology and management is an interdisciplinary research field with a focus on how the individual behaviour of plants contributes to the formation of spatial patterns that evolve through time. Key to this research is a strict bottom-up approach where the shaping and characteristics of plant communities are mostly the result of interactions between plants and between plants and humans. This book unites important methods of individual-based forest ecology and management from point process statistics, individual-based modelling, plant growth science and behavioural statistics. For ease of access, better understanding and transparency the methods are accompanied by R code and worked examples.
出版日期Textbook 2019
關(guān)鍵詞Individual-based ecology; Individual-based model; Plant interaction; Point process statistics; Plant gro
版次1
doihttps://doi.org/10.1007/978-3-030-24528-3
isbn_softcover978-3-030-24530-6
isbn_ebook978-3-030-24528-3
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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978-3-030-24530-6Springer Nature Switzerland AG 2019
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Textbook 2019k unites important methods of individual-based forest ecology and management from point process statistics, individual-based modelling, plant growth science and behavioural statistics. For ease of access, better understanding and transparency the methods are accompanied by R code and worked examples.
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Arne Pommerening,Pavel Grabarnikmparing the positions of embedding vectors and quantifying the impact of attributes on the representation update. Our GERF method updates embedding vectors by optimizing the invariance loss, graph neighbor loss, and attribute the neighbor loss to obtain high-quality embeddings. Experiments on WikiCS
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Arne Pommerening,Pavel Grabarnikus to include tokens important to minority classes in the dictionary. The F1 score was utilized to quantitatively assess the quality of classification. Hierarchical classification allowed for faster classification processes than the non-hierarchical approach for the XGBoost classifier. We obtained p
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Arne Pommerening,Pavel Grabarnikmachine learning models over a variety of contamination scenarios, but also suggest new metrics that could be utilized to quantify such models’ robustness. Our extensive computational experiments shed more light on the impact of training set contamination on the operational behavior of supervised le
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