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Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book provides practical guide to cluster analysis, elegant visualization and interpretation. It contains 5 parts. Part I provides a quick introduction to R and presents required R packages, as well as, data formats and dissimilarity measures for cluster analysis and visualization. Part II covers partitioning clustering methods, which subdivide the data sets into a set of k groups, where k is the number of groups pre-specified by the analyst. Partitioning clustering approaches include: K-means, K-Medoids (PAM) and CLARA algorithms. In Part III, we consider hierarchical clustering method, which is an alternative approach to partitioning clustering. The result of hierarchical clustering is a tree-based representation of the objects called dendrogram. In this part, we describe how to compute, visualize, interpret and compare dendrograms. Part IV describes clustering validation and evaluation strategies, which consists of measuring the goodness of clustering results. Among the chapters covered here, there are: Assessing clustering tendency, Determining the optimal number of clusters, Cluster validation statistics, Choosing the best clustering algorithms and Computing p-value for hierarchical clustering. Part V presents advanced clustering methods, including: Hierarchical k-means clustering, Fuzzy clustering, Model-based clustering and Density-based clustering.
The generation into which each person is born, the demographic composition of that cohort, and its relation to those born at the same time in other places influences not only a person's life chances, but also the economic and political structures within which that life is lived; the person's access to social and natural resources (food, water, education, jobs, sexual partners); and even the length of that person's life. Demography, literally the study of people, addresses the size, distribution, composition, and density of populations, and considers the impact the drivers which mediate these will have on both individual lives and the changing structure of human populations. This Very Short Introduction considers the way in which the global population has evolved over time and space. Sarah Harper discusses the theorists, theories, and methods involved in studying population trends and movements, before looking at the emergence of new demographic sub-disciplines and addressing some of the future population challenges of the 21st century. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Strategic health planning, the cornerstone of initiatives designed to achieve health improvement goals around the world, requires an understanding of the comparative burden of diseases and injuries, their corresponding risk factors and the likely effects of invervention options. The Global Burden of Disease framework, originally published in 1990, has been widely adopted as the preferred method for health accounting and has become the standard to guide the setting of health research priorities. This publication sets out an updated assessment of the situation, with an analysis of trends observed since 1990 and a chapter on the sensitivity of GBD estimates to various sources of uncertainty in methods and data.
This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
The anthrax incidents following the 9/11 terrorist attacks put the spotlight on the nation's public health agencies, placing it under an unprecedented scrutiny that added new dimensions to the complex issues considered in this report. The Future of the Public's Health in the 21st Century reaffirms the vision of Healthy People 2010, and outlines a systems approach to assuring the nation's health in practice, research, and policy. This approach focuses on joining the unique resources and perspectives of diverse sectors and entities and challenges these groups to work in a concerted, strategic way to promote and protect the public's health. Focusing on diverse partnerships as the framework for public health, the book discusses: The need for a shift from an individual to a population-based approach in practice, research, policy, and community engagement. The status of the governmental public health infrastructure and what needs to be improved, including its interface with the health care delivery system. The roles nongovernment actors, such as academia, business, local communities and the media can play in creating a healthy nation. Providing an accessible analysis, this book will be important to public health policy-makers and practitioners, business and community leaders, health advocates, educators and journalists.
The Seventh National Population Census (NPC) results show that China's population structure has undergone profound changes. While the rates of education penetration and urbanization continue to rise, issues such as population aging and low fertility rates have become prominent. Population is the core factor influencing economic growth, and its structural changes will bring numerous opportunities and challenges for China's future economic development. Currently, most of the research on the economic effects of population structure mainly focus on constructing a certain static panels to analyze certain demographic factors, lacking consideration of the wholeness and correlation aspects of population structure. Moreover, the design of models seldom incorporate the intrinsic dynamics and convergence of economic growth. Therefore, it is of great significance to construct a dynamic panel model and systematically study the impact of various demographic factors on regional economic growth and convergence, so as to understand and grasp the demographic changes in China and promote the coordinated development of regional economy. Based on a comprehensive review of the theoretical literature, this book first conducts a systematic analysis of the spatial and temporal evolution patterns of China's national and regional population structure and regional economic development. Second, it identifies the mechanism through which population structure affects regional economic growth and convergence and proposes research hypotheses. Subsequently, based on the neoclassical economic growth convergence model, a dynamic model is constructed to examine the influence of population structure on regional economic growth and convergence. Using panel data on population structure and economic growth from 31 provinces, autonomous regions, and municipalities directly under the central government, an empirical analysis is conducted using the SYS-GMM method. Additionally, a heterogeneity analysis is conducted with samples from the eastern, central, and western regions. Furthermore, taking into account the reality of shortened spatial and temporal distances and intensified population mobility between regions, a spatial econometric model is constructed to analyze the spatial spillover effect of population structure on regional economic growth. The current research theory for interfacial loess landslides is relatively lagging behind. Therefore, this book provides a detailed theoretical study on the failure mechanism and calculation model of interface type loess landslides, and provides a clear theoretical derivation process and application methods. The research process involves interdisciplinary research in soil mechanics, elastic-plastic mechanics, fracture mechanics, structural mechanics, theoretical mechanics, and other disciplines, which not only reflects the multi-angle nature of research issues, but also reflects the multi-scale nature of research issues. The conclusions of the study as follows: changes in the gender structure of the population do not have a significant impact on the speed of national and regional economic growth. On the other hand, an increase in the gender ratio in the western region may promote economic growth convergence. Secondly, population aging can reduce labor supply and savings rate, inhibit innovation, thereby impeding regional economic growth and convergence. The influence of the rate of urbanization on economic growth shows an inverted U-shaped pattern. Initially, urbanization promotes economic growth, but excessive urbanization may hinder it. The eastern region has the highest urbanization rate and experiences an inverted U-shaped impact on economic growth, whereas the central and western regions benefit from linearly positive effects of urbanization. Moreover, the improvement of urbanization rate is one of the most important factors promoting regional economic growth convergence. The enhancement of the population's educational level can promote total factor productivity and human capital in the country as a whole and each region, thereby driving economic growth. It also stands as one of the most crucial factors promoting regional economic growth. Additionally, considering spatial factors, the aging of the population has a positive effect on the interaction of regional economic growth. Based on the above conclusions, this book proposes the following policy recommendations: First, adhere to the concept of gender equality and alleviate the pressure caused by the "marriage squeeze". Second, improve the pension system and vigorously develop the "silver economy". Third, promote the coordinated development of new urbanization and prevent "pseudo-urbanization" and "counter-urbanization". Fourth, implement the three major strategies of innovation-driven, science and education revitalization, and talent power. Fifth, strive to promote the upgrading of the employment structure and give full play to the important role of the tertiary industry in absorbing labor.
How the world's demographic and socio-economic landscape will change over the next two decades Tomorrow's World maps out the world's near future through the lens of demography, dealing with issues of health and wealth; death and taxes; buying and selling; education and progress; and how and where we choose to live. The last century saw the world's population quadruple, the emergence of mega-cities and increased urbanisation, and large changes in fertility, mortality, healthcare, education, and income. The world we live in today was profoundly shaped by those changes. This book looks at what's happening now and how demographic changes will reshape the twenty-first century. It highlights the most significant current demographic realities and explains the implications they'll have for our near future. If you run a business, manage a brand, or just want to know what the future looks like, Tomorrow's World is a must-read. A vitally important look at demographic trends how they will effect labour, education, population, economics, and business in this century Written by the founder and Managing Director of Global Demographics Ltd., a leading demographic agency that consults with companies on market and business planning A must-read book for economists, financial analysts, brand managers, and business leaders If you ever wanted to know what tomorrow's world will look like, you have to start by looking at the world today. This book reveals how the experts expect our socio-economic landscape to evolve, identifying threats and opportunities along the way.
Originally published in 1986, this volume brings together geographical modelling of population change and demographic analysis of population structures and pattern. These 2 strands are interwoven in 3 key review chapters that summarize the study of spatial and temporal patterns of population, the modelling of spatial populations and the estimation of population processes. Findings reported include: An account of demographic transition; an exposé of the myth of ‘no fertility rises’ in the developing world in the 20th Century; a theory of population accounting; predicting migration flows for a system of regions; microsimulation methods to model population change; and demographic and economic processes integrated in an urban region model.
Population, Land Use, and Environment: Research Directions offers recommendations for future research to improve understanding of how changes in human populations affect the natural environment by means of changes in land use, such as deforestation, urban development, and development of coastal zones. It also features a set of state-of-the-art papers by leading researchers that analyze population-land useenvironment relationships in urban and rural settings in developed and underdeveloped countries and that show how remote sensing and other observational methods are being applied to these issues. This book will serve as a resource for researchers, research funders, and students.