1.347 results (0,23956 seconds)

Brand

Merchant

Price (EUR)

Reset filter

Products
From
Shops

Why Cities Need Large Parks Large Parks in Large Cities

Why Cities Need Large Parks Large Parks in Large Cities

The large parks and green infrastructure presented here illustrate the diverse uses and many benefits of large urban parks across 30 major cities. Demand for large urban parks emerged at the height of the First Industrial Revolution in the mid-1800s when large urban parks represented new ideas of accessible public spaces often established on land previously owned by aristocracy royalty or the army. They represented new ideas on how city life could be improved and how large green spaces could enhance urban citizens’ physical and psychological well-being (e. g. Birkenhead Park in Liverpool Bois de Boulogne in Paris Tiergarten in Berlin and Central Park in New York City). Today large urban parks are habitats for biodiversity and spaces of climate change adaptation. For people living in cities this biodiversity may represent high cultural recreational and aesthetic values but is also important for other aspects of health and well-being for example by reducing the urban heat island effect air pollution and risks of flooding. At a time when we are seriously reconsidering how we live in cities and our urban quality of life while also grappling with serious challenges of climate change the authors of this book detail the much-needed evidence pathways and vision for a future of more liveable resilient cities where large urban parks are at the core. This book will help park managers NGOs landscape architects and city planners to develop the green city of the future. | Why Cities Need Large Parks Large Parks in Large Cities

GBP 35.99
1

The Large Industrial Enterprise Some Spatial Perspectives

Large Outdoor Fire Dynamics

Practical Guide to Large Database Migration

Large Carnivore Conservation and Management Human Dimensions

Large Turbo-Generators Malfunctions and Symptoms

Stochastic Optimization for Large-scale Machine Learning

Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications

Revival: Large Sample Methods in Statistics (1994) An Introduction with Applications

Large Hadron Collider Phenomenology

Large Hadron Collider Phenomenology

With the Large Hadron Collider (LHC) under construction and due to come online in 2007 it is appropriate to engage in a focused review on LHC phenomenology. At a time when most of the experimental effort is centered on detector construction and software development it is vitally important to direct the experimental community and in particular new researchers on the physics phenomena expected from the LHC. Large Hadron Collider Phenomenology covers the capabilities of LHC from searches for the Higgs boson and physics beyond the standard model to detailed studies of quantum chromodynamics the B-physics sectors and the properties of hadronic matter at high energy density as realized in heavy-ion collisions. Written by experienced researchers and experimentalists this reference examines the basic properties and potentials of the machine detectors and software required for physics analyses. The book starts with a basic introduction to the standard model and its applications to the phenomena observed at high energy collisions. Later chapters describe the key technological challenges facing the construction of the LHC machine the operating detectors of the LHC and the vast computing grid needed to analyze the data. In the final sections the contributors discuss the quark-gluon plasma (QGP) explore questions and predictions for the LHC program and examine the physics opportunities of the LHC using information from the forward region. By surveying the difficult challenges of the LHC development while also assessing the novel processes that the LHC will perform Large Hadron Collider Phenomenology aids less seasoned physicists as well as existing researchers in discovering the numerous possibilities of the LHC.

GBP 16.99
1

Project Management of Large Software-Intensive Systems

How to Manage Project Stakeholders Effective Strategies for Successful Large Infrastructure Projects

How to Manage Project Stakeholders Effective Strategies for Successful Large Infrastructure Projects

This book outlines how to identify stakeholders analyse theirs stakes and plan and implement an engagement strategy to secure relevant input and dependable buy-in to assure the successful delivery of Large Infrastructure Projects. It also addresses common stakeholder management inadequacies and is supplemented with four extended practical exercises to help readers apply the principles to their own large complex projects and ensure project success. The project management industry particularly the Large Infrastructure Projects domain has only recently awakened to the reality that failed Stakeholder Management probably leads to a failure of the project altogether. Due to the complexities involved most traditional approaches to managing stakeholders have developed serious difficulties in dealing with large and complex projects. This book presents a Systems Thinking approach to managing stakeholders that accommodates these complexities and seeks to crystallise the notion that managing projects means managing stakeholders while also introducing an ethical perspective (i. e. stakeholders have legitimate rights regardless of their power to influence the project). This shifts the paradigm from Management of Stakeholders to Management for Stakeholders. It is essential reading for all those involved with managing large projects including project managers sponsors and executives. It will also be useful for advanced students of project management and systems engineering looking to understand and expand their knowledge of infrastructure projects and Systems Engineering. | How to Manage Project Stakeholders Effective Strategies for Successful Large Infrastructure Projects

GBP 26.99
1

Rotary Drilling and Blasting in Large Surface Mines

From Crowd Psychology to the Dynamics of Large Groups Historical Theoretical and Practical Considerations

From Crowd Psychology to the Dynamics of Large Groups Historical Theoretical and Practical Considerations

From Crowd Psychology to the Dynamics of Large Groups offers transdisciplinary research on the history of the study of social formations ranging from nineteenth-century crowd psychology in France and twentieth-century Freudian mass psychology including the developments in critical theory to the study of the psychodynamics of contemporary large groups. Carla Penna presents a unique combination of sociology psychoanalysis and group analysis in the study of social formations. This book revisits the epistemological basis of group analysis by introducing and discussing its historical path especially in connection with the study of large groups and investigations of the social unconscious in persons groups and societies. It also explores early work on group relations and contemporary research on the basic-assumption group in England particularly Hopper’s theory of Incohesion as a fourth basic assumption. From Crowd Psychology to the Dynamics of Large Groups enables the reader to map out the field of the unconscious life of crowds illuminating the darkness of twenty-first century collective movements. The reflections in this book present new perspectives for psychologists psychoanalysts group analysts sociologists and historians to investigate the psychodynamics of contemporary crowds masses and social systems. | From Crowd Psychology to the Dynamics of Large Groups Historical Theoretical and Practical Considerations

GBP 31.99
1

Small Large and Median Groups The Work of Patrick de Mare

The Front-end of Large Public Projects Paradoxes and Ways Ahead

Concise Textbook of Large Animal Handling A Practical Handbook

Large Energy Storage Systems Handbook

Large Energy Storage Systems Handbook

In the current push to convert to renewable sources of energy many issues raised years ago on the economics and the difficulties of siting energy storage are once again being raised today. When large amounts of wind solar and other renewable energy sources are added to existing electrical grids efficient and manageable energy storage becomes a crucial component to allowing a range of eco-friendly resources to play a significant role in our energy system. In order to fulfill our intended goal of diminishing dependence on non-renewable sources of energy and reducing our carbon footprint we must find a way to store and convert these novel resources into practical solutions. Based on the efforts of a University of Colorado team devoted to increasing the use of renewable energy production within the current electrical power grid Large Energy Storage Systems Handbook examines a number of ways that energy can be stored and converted back to electricity. Examining how to enhance renewable generation energy storage relative to economic and carbon impact this book discusses issues of reliability siting economics and efficiency. Chapters include the practicalities of energy storage generation and absorption of electrical power; the difficulties of intermittent generation; and the use of pumped and underground pumped hydroelectric energy storage. The book highlights the storage of compressed air battery energy solar thermal and natural gas sources of energy. Heavily referenced and easily accessible to policy makers developers and students alike this book provides contributions from those active in the field for coverage of many important topics. With this book as a foundation these pioneers can develop the capacity of power grids to handle high renewable energy generation penetration and provide a brighter future for generations to come.

GBP 74.99
1

Managing Critical Incidents and Large-Scale Event Security

Numerical Techniques for Direct and Large-Eddy Simulations

Lean Startup in Large Organizations Overcoming Resistance to Innovation

Lean Startup in Large Organizations Overcoming Resistance to Innovation

Large corporations must become far more agile in implementing new products and new business models. The pace of technology change the blurring of industry boundaries and the agility and resources of startups in almost every industry segment demand it. Many companies have begun to adopt the principles of Lean Startup in order to increase the pace and agility of their innovation initiatives but most have had limited success in doing so. Although the principles seem intuitive and straightforward there are challenges to using them inside an existing company especially in a manufacturing environment. The biggest requirements beyond those espoused for startups are: Developing a business model for the new venture that not only works in the marketplace but also works within the constraints of the corporation Managing the conflicts that inevitably arise with the current operating business; every business that has operated over decades has well-established ways of doing things that may not fit the required pace and flexibility required of a new venture Conducting business experiments with physical goods as well as with software offerings Managing the risk of investing in a new domain for executives that are used to investing where the risks are more clearly understood This book describes a systematic approach for implementing Lean Startup in large organizations. It builds on the principles of Lean Startup and adds additional practices required to manage the realities of the corporate context. The book describes how it is done with examples from practice in companies that have successfully used the methods. It complements Lean Startup methods with elements of corporate innovation practices developed by leading academics and practitioners. It brings these practices together for the first time in a practical and integrated way. | Lean Startup in Large Organizations Overcoming Resistance to Innovation

GBP 26.99
1

Twenty-Sixth International Congress on Large Dams / Vingt-Sixième Congrès International des Grands Barrages 4th - 6th July 2018 Vienna Austria

A Course in the Large Sample Theory of Statistical Inference

Large-Scale Machine Learning in the Earth Sciences

Large-Scale Machine Learning in the Earth Sciences

From the Foreword:While large-scale machine learning and data mining have greatly impacted a range of commercial applications their use in the field of Earth sciences is still in the early stages. This book edited by AshokSrivastava Ramakrishna Nemani and Karsten Steinhaeuser serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest…I hope that this book will inspire more computer scientists to focus on environmental applications and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences. Vipin Kumar University of MinnesotaLarge-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science computer science statistics and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources in the final chapter of the book.

GBP 44.99
1