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Documents disponibles chez cet éditeur (44)
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Titre : Programming for Computations - Python Type de document : Guide/Manuel Auteurs : Svein Linge, Éditeur scientifique ; Hans Petter Langtangen, Éditeur scientifique Editeur : Springer Nature Année de publication : 2020 Importance : 332 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-16877-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques
[Termes IGN] codage
[Termes IGN] équation différentielle
[Termes IGN] programmation informatique
[Termes IGN] Python (langage de programmation)Index. décimale : 26.04 Langages informatiques Résumé : (éditeur) This second edition of the book presents computer programming as a key method for solving mathematical problems and represents a major revision: all code is now written in Python version 3.6 (the first edition was based on Python version 2.7). The first two chapters of the previous edition have been extended and split up into
five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout, explanations are now more complete, previous examples have been modified, and new sections, examples, and exercises have been added. Also, errors and typos have been corrected. The book was inspired by the Springer book TCSE 6, A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.Note de contenu : 1- The First Few Steps
2- A Few More Steps
3- Loops and Branching
4- Functions and the Writing of Code
5- Some More Python Essentials
6- Computing Integrals and Testing Code
7- Solving Nonlinear Algebraic Equations
8- Solving Ordinary Differential Equations
9- Solving Partial Differential EquationsNuméro de notice : 28461 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Manuel informatique DOI : 10.1007/978-3-030-16877-3 En ligne : https://doi.org/10.1007/978-3-030-16877-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99072
Titre : Remote sensing of plant biodiversity Type de document : Monographie Auteurs : Jeannine Cavender-Bares, Éditeur scientifique ; John A. Gamon, Éditeur scientifique ; Philip A. Townsend, Éditeur scientifique Editeur : Springer Nature Année de publication : 2020 Importance : 581 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-33157-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biodiversité
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] écosystème
[Termes IGN] espèce exotique envahissante
[Termes IGN] hybridation naturelle (végétation)
[Termes IGN] image hyperspectrale
[Termes IGN] protection du paysage
[Termes IGN] surveillance de la végétationRésumé : (éditeur) This Open Access volume aims to methodologically improve our understanding of biodiversity by linking disciplines that incorporate remote sensing, and uniting data and perspectives in the fields of biology, landscape ecology, and geography. The book provides a framework for how biodiversity can be detected and evaluated—focusing particularly on plants—using proximal and remotely sensed hyperspectral data and other tools such as LiDAR. The volume, whose chapters bring together a large cross-section of the biodiversity community engaged in these methods, attempts to establish a common language across disciplines for understanding and implementing remote sensing of biodiversity across scales. The first part of the book offers a potential basis for remote detection of biodiversity. An overview of the nature of biodiversity is described, along with ways for determining traits of plant biodiversity through spectral analyses across spatial scales and linking spectral data to the tree of life. The second part details what can be detected spectrally and remotely. Specific instrumentation and technologies are described, as well as the technical challenges of detection and data synthesis, collection and processing. The third part discusses spatial resolution and integration across scales and ends with a vision for developing a global biodiversity monitoring system. Topics include spectral and functional variation across habitats and biomes, biodiversity variables for global scale assessment, and the prospects and pitfalls in remote sensing of biodiversity at the global scale. Note de contenu : 1- The use of remote sensing to enhance biodiversity monitoring and detection: A critical challenge for the twenty-first century
2- Applying remote sensing to biodiversity science
3- Scaling functional traits from leaves to canopies
4- The Laegeren site: An augmented forest laboratory
5- Lessons learned from spectranomics: Wet tropical forests
6- Remote sensing for early, detailed, and accurate detection of forest disturbance and decline for protection of biodiversity
7- Linking leaf spectra to the plant tree of life
8- Linking foliar traits to belowground processes
9- Using remote sensing for modeling and monitoring species distributions
10- Remote sensing of geodiversity as a link to biodiversity
11- Predicting patterns of plant diversity and endemism in the tropics using remote sensing data: A study case from the Brazilian Atlantic Forest
12- Remote detection of invasive alien species
13- A range of earth observation techniques for assessing plant diversity
14- How the optical properties of leaves modify the absorption and scattering of energy and enhance leaf functionality
15- Spectral field campaigns: Planning and data collection
16- Consideration of scale in remote sensing of biodiversity
17- Integrating biodiversity, remote sensing, and auxiliary information for the study of ecosystem functioning and conservation at large spatial scales
18- Essential biodiversity variables: Integrating in-situ observations and remote sensing through modelingNuméro de notice : 25919 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/IMAGERIE Nature : Monographie En ligne : https://link.springer.com/book/10.1007%2F978-3-030-33157-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96126
Titre : Robotics, AI, and humanity : Science, ethics, and policy Type de document : Monographie Auteurs : Joachim Von Braun, Éditeur scientifique ; Margaret S. Archer, Éditeur scientifique ; Gregory M. Reichberg, Éditeur scientifique ; et al., Auteur Editeur : Springer Nature Année de publication : 2020 ISBN/ISSN/EAN : 978-3-030-54173-6 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] apprentissage automatique
[Termes IGN] cerveau
[Termes IGN] classification à base de connaissances
[Termes IGN] cognition
[Termes IGN] conscience
[Termes IGN] émotion
[Termes IGN] éthique
[Termes IGN] finance
[Termes IGN] formation
[Termes IGN] navigation autonome
[Termes IGN] robotiqueRésumé : (éditeur) This open access book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The emergent technologies have for instance implications within medicine and health care, employment, transport, manufacturing, agriculture, and armed conflict. While there has been considerable attention devoted to robotics/AI applications in each of these domains, a fuller picture of their connections and the possible consequences for our shared humanity seems needed. This volume covers multidisciplinary research, examines current research frontiers in AI/robotics and likely impacts on societal well-being, human – robot relationships, as well as the opportunities and risks for sustainable development and peace. The attendant ethical and religious dimensions of these technologies are addressed and implications for regulatory policies on the use and future development of AI/robotics technologies are elaborated. Note de contenu : I- Foundational issues in AI and robotics
II- AI and robotics changing the future of society: Work, farming, services, and poverty
III- Robotics, AI, and militarized conflict
IV- AI/robot–human interactions: Regulatory and ethical implicationsNuméro de notice : 28612 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.1007/978-3-030-54173-6 En ligne : https://doi.org/10.1007/978-3-030-54173-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99478
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Titre : SN Computer Science Type de document : Périodique Editeur : Springer Nature Année de publication : 2020 - ISBN/ISSN/EAN : 2661-8907 Langues : Anglais (eng) Numéro de notice : 000 Affiliation des auteurs : non IGN Nature : Titre de périodique En ligne : https://link.springer.com/journal/42979/volumes-and-issues Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101082
Titre : Spationomy : Spatial exploration of economic data and methods of interdisciplinary analytics Type de document : Guide/Manuel Auteurs : Vit Pászto, Éditeur scientifique ; Carsten Jürgens, Éditeur scientifique ; Polona Tominc, Éditeur scientifique ; et al., Auteur Editeur : Springer Nature Année de publication : 2020 Importance : 333p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-26626-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] acquisition de données
[Termes IGN] analyse multicritère
[Termes IGN] analyse spatiale
[Termes IGN] données socio-économiques
[Termes IGN] exploration de données géographiques
[Termes IGN] finance
[Termes IGN] géographie économique
[Termes IGN] microéconomie
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] recherche interdisciplinaire
[Termes IGN] régression logistique
[Termes IGN] système d'information géographique
[Termes IGN] veille économiqueRésumé : (éditeur) This open access book is based on 'Spationomy – Spatial Exploration of Economic Data', an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works. Numéro de notice : 25973 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Manuel de cours DOI : 10.1007/978-3-030-26626-4 En ligne : https://doi.org/10.1007/978-3-030-26626-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96629 PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink