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Advanced Mapping of Environmental Data by Mikhail Kanevski Pdf
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.
Analyzing Environmental Data by Walter W. Piegorsch,A. John Bailer Pdf
Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data. Takes a data-oriented approach to describing the various methods. Illustrates the methods with real-world examples Features extensive exercises, enabling use as a course text. Includes examples of SAS computer code for implementation of the statistical methods. Connects to a Web site featuring solutions to exercises, extra computer code, and additional material. Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals. Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.
Geocomputation, Sustainability and Environmental Planning by Beniamino Murgante,Giuseppe Borruso,Alessandra Lapucci Pdf
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.
Textbook of Children's Environmental Health by Ruth A. Etzel,Philip J. Landrigan Pdf
With new and updated content on biodiversity and chemicals in food, Textbook of Children's Environmental Health, Second Edition remains the quintessential textbook for the study of the environmental hazards that cause disease in childre
Environmental Data Management by Carl Oppenheimer Pdf
Throughout the world a staggering amount of resources have been used to obtain billions of environmental data points. Some, such as meteorological data, have been organized for weather map display where many thousands of data points are synthesized in one compressed map. Most environmental data, however, are still widely scattered and generally not used for a systems approach, but only for the purpose for which they were originally taken. These data are contained in relatively small computer programs, research files, government and industrial reports, etc. This Conference was called to bring together some of the world's leaders from research centers and government agencies, and others concerned with environmental data management. The purpose of the Conference was to organize discussion on the scope of world environmental data, its present form and documentation, and whether a systematic approach to a total system is feasible now or in the future. This same subject permeated indirectly the Stockholm Conference on the environment, where, although no single recommendation came forth suggesting a consolidated environmental data pool, bank or network, each recommendation indicated that substantial environmental data needed to be obtained or needed to be pooled and analyzed from existing data sources.
Relational Management and Display of Site Environmental Data by David Rich Pdf
When your environmental project reaches the point where the amount of data seems overwhelming, you will need a robust tool to help you manage it. Written by a recognized expert and software author with over 25 years of industry experience, Relational Management and Display of Site Environmental Data begins with an overview of site data management concepts, then progresses through relational data management theory, the design of the database tool, and implementing a data management system. It includes detailed information on data output including mapping and GIS applications, practical suggestions about working with laboratories, and concludes with pitfalls, horror stories, and successes in site data management. Current topics such as Internet data delivery and eXtensible Markup Language (XML) are also covered. The text provides you with the skills needed to effectively implement and operate an environmental data management system. The concepts covered can be applied to any system, from stand-alone through client-server to Web-based. Relational Management and Display of Site Environmental Data combines the fundamentals of data management and display with the author's many years of experience to help you create your own data management system or make a better-informed decision when selecting a commercial solution.
Service-oriented Design of Environmental Information Systems by Thomas Usländer Pdf
Service-orientation has an increasing impact upon the design process and the architecture of environmental information systems. This thesis specifies the SERVUS design methodology for geospatial applications based upon standards of the Open Geospatial Consortium. SERVUS guides the system architect to rephrase use case requirements as a network of semantically-annotated requested resources and to iteratively match them with offered resources that mirror the capabilities of existing services.
Computational Intelligence in Intelligent Data Analysis by Christian Moewes,Andreas Nürnberger Pdf
Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intelligence has been collected in this volume.
Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories by Juan Carlos Chacon-Hurtado Pdf
Precipitation drives the dynamics of flows and storages in water systems, making its monitoring essential for water management. Conventionally, precipitation is monitored using in-situ and remote sensors. In-situ sensors are arranged in networks, which are usually sparse, providing continuous observations for long periods at fixed points in space, and due to the high costs of such networks, they are often sub-optimal. To increase the efficiency of the monitoring networks, we explore the use of sensors that can relocate as rainfall events develop (dynamic sensors), as well as increasing the number of sensors involving volunteers (citizens). This research focusses on the development of an approach for merging heterogeneous observations in non-stationary precipitation fields, exploring the interactions between different definitions of optimality for the design of sensor networks, as well as development of algorithms for the optimal scheduling of dynamic sensors. This study was carried out in three different case studies, including Bacchiglione River (Italy), Don River (U.K.) and Brue Catchment (U.K.) The results of this study indicate that optimal use of dynamic sensors may be useful for monitoring precipitation to support water management and flow forecasting.
Advanced Environmental Monitoring with Remote Sensing Time Series Data and R by Alexandra Gemitzi,Nikolaos Koutsias,Venkat Lakshmi Pdf
This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region—a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas. Features Includes real-world applications of environmental remotely sensed data Analyzes the advantages and restrictions of each data source Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.
Author : Philip J. Landrigan,Ruth A. Etzel Publisher : Oxford University Press Page : 608 pages File Size : 46,9 Mb Release : 2013-11-15 Category : Medical ISBN : 9780199336661
Textbook of Children's Environmental Health by Philip J. Landrigan,Ruth A. Etzel Pdf
Over the past four decades, the prevalence of autism, asthma, ADHD, obesity, diabetes, and birth defects have grown substantially among children around the world. Not coincidentally, more than 80,000 new chemicals have been developed and released into the global environment during this same period. Today the World Health Organization attributes 36% of all childhood deaths to environmental causes. Children's environmental health is a new and expanding discipline that studies the profound impact of chemical and environmental hazards on child health. Amid mounting evidence that children are exquisitely sensitive to their environment-and that exposure during their developmental "windows of susceptibility" can trigger cellular changes that lead to disease and disability in infancy, childhood, and across the life span-there is a compelling need for continued scientific study of the relationship between children's health and environment. The Textbook of Children's Environmental Health codifies the knowledge base and offers an authoritative and comprehensive guide to this important new field. Edited by two internationally recognized pioneers in the area, this volume presents up-to-date information on the chemical, biological, physical, and societal hazards that confront children in today's world: pesticides, indoor and outdoor air pollution, lead, arsenic, phthalates, bisphenol A, brominated flame retardants, ionizing radiation, electromagnetic fields, and the built environment. It presents carefully documented data on rising rates of disease in children, offers a critical summary of new research linking pediatric disease with environmental exposures, and explores the cellular, molecular, and epigenetic mechanisms underlying diseases of environmental origin. With this volume's emphasis upon integrating theory and practice, readers will find practical approaches to channeling scientific findings into evidence-based strategies for preventing and identifying the environmental hazards that cause disease in children. It is a landmark work that will serve as the field's benchmark for years to come.
Environmental Software Systems. Frameworks of eEnvironment by Jiri Hrebicek,Gerald Schimak,Ralf Denzer Pdf
This book constitutes the refereed proceedings of the 9th IFIP WG 5.11 International Symposium on Environmental Software Systems, ISESS 2011, held in Brno, Czech Republic, in June 2011. The 68 revised full papers presented together with four invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: eEnvironment and cross-border services in digital agenda for Europe; environmental information systems and services - infrastructures and platforms; semantics and environment; information tools for global environmental assessment; climate services and environmental tools for urban planning and climate change - applications and services.