This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.
This book deals with recent developments and applications of environmental monitoring technologies, with emphasis on rapidly progressing optical and biological methods. Written by worldwide experts, this book will be of interest to environmental scientists in academia, research institutes, industry and the government.
This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data. It presents basic geostatistical algorithms as well. The authors describe new trends in machine lea
The experience developed by Ian McHarg represents the first attempt to base environmental planning on more objective methods. In particular, he supposed that the real world can be considered as a layer cake and each layer represents a sectoral analysis. This metaphor represents the fundamental of overlay mapping. At the beginning, these principles have been applied only by hand, just considering the degree of darkness, produced by layer transparency, as a negative impact. In the following years, this craftmade approach, has been adopted for data organization in Geographical Information Systems producing analyses with a high level of quality and rigour. Nowadays, great part of studies in environmental planning field have been developed using GIS. The next step relative to the simple use of geographic information in supporting environmental planning is the adoption of spatial simulation models, which can predict the evolution of phenomena. As the use of spatial information has definitely improved the quality of data sets on which basing decision-making process, the use of Geostatistics, spatial simulation and, more generally, geocomputation methods allows the possibility of basing the decision-making process on predicted future scenarios. It is very strange that a discipline such as planning which programs the territory for the future years in great part of cases is not based on simulation models. Sectoral analyses, often based on surveys, are not enough to highlight dynamics of an area. Better knowing urban and environmental changes occurred in the past, it is possible to provide better simulations to predict possible tendencies. The aim of this book is to provide an overview of the main methods and techniques adopted in the field of environmental geocomputation in order to produce a more sustainable development.
The humanities and social sciences are interested in the cybersecurity object since its emergence in the security debates, at the beginning of the 2000s. This scientific production is thus still relatively young, but diversified, mobilizing at the same time political science, international relations, sociology , law, information science, security studies, surveillance studies, strategic studies, polemology. There is, however, no actual cybersecurity studies. After two decades of scientific production on this subject, we thought it essential to take stock of the research methods that could be mobilized, imagined and invented by the researchers. The research methodology on the subject "cybersecurity" has, paradoxically, been the subject of relatively few publications to date. This dimension is essential. It is the initial phase by which any researcher, seasoned or young doctoral student, must pass, to define his subject of study, delimit the contours, ask the research questions, and choose the methods of treatment. It is this methodological dimension that our book proposes to treat. The questions the authors were asked to answer were: how can cybersecurity be defined? What disciplines in the humanities and social sciences are studying, and how, cybersecurity? What is the place of pluralism or interdisciplinarity? How are the research topics chosen, the questions defined? How, concretely, to study cybersecurity: tools, methods, theories, organization of research, research fields, data ...? How are discipline-specific theories useful for understanding and studying cybersecurity? Has cybersecurity had an impact on scientific theories?
The intelligence of a city is the capacity to learn: to learn the past, its history and the culture of its territory. Unlike the smart city, we do not build a city from scratch and there is nothing, there is no smart city standard car intelligence is measured this ability to fit into a territorial dynamic, a story and a culture. Continuous learning through instantaneous feedback provides the digital to understand and map the urban system and driver.
Over 200 years, industry has mastered iron, fire, power and energy. Today, electronics shape our everyday objects with the widespread integration of chips; from computers and telephones to keys, games and white goods. Data, software and computation structure our behavior and the organization of our lives. Everything is translated into data: the digit is king. Consisting of three volumes, The Digital Era explores technical, economic and social phenomena that result from the generalization of the Internet. This second volume discusses the impact of digital technology on the evolution of market relations and the media and examines the reasons why such changes put political economy to the test.
Information is an element of knowledge that can be stored, processed or transmitted. It is linked to concepts of communication, data, knowledge or representation. In a context of steady increase in the mass of information it is difficult to know what information to look for and where to find them. Computer techniques exist to facilitate this research and allow relevant information extraction. Recommendation systems introduced the notions inherent to the recommendation, based, inter alia, information search, filtering, machine learning, collaborative approaches. It also deals with the assessment of such systems and has various applications.
Digital information, particularly for online newsgathering and reporting, is an industry fraught with uncertainty and rapid innovation. Digital Information Ecosystems: Smart Press crosses academic knowledge with research by media groups to understand this evolution and analyze the future of the sector, including the imminent employment of bots and artificial intelligence. The book adopts an original and multidisciplinary approach to this topic: combining the science of media economics with the experience of a practicing journalist of a major daily newspaper. The result is an essential guide to the opportunities of the media to respond to a changing global digital landscape. Independent news reporting is vital in the contemporary democracy; the media must itself become a new “smart press”.
Search Engine Optimization (SEO) is arguably the most significant tool that marketeers have to push online content. As the hub of the computational engineering fields, SEO encompasses technical, editorial and link-building strategies, and is an integral part of our daily lives. As important as it is ubiquitous, SEO is needed for the development of a brands website and online reputation. When a website is live, one of its priorities is to drive organic traffic towards it, in order to attract visibility. In order to achieve such an aim, many proactive measures must be put in place, advice followed and tips implemented. There should also be an understanding of the holistic connection between a websites HTML sources, content management system and its relationship with external websites too (SEO off-site). There are many different search engines in the world and depending on the international boundary, one web browser usually dominates the landscape. Google features prominently in SEO Management, but this book also goes into detail regarding Baidu SEO (China), Yandex SEO (Russia) and Naver SEO (South Korea). There is also guidance given on how to manage a SEO project.
