Products related to Spatial:
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Public Health Spatial Planning in Practice : Improving Health and Wellbeing
Health and wellbeing are significantly influenced by how professionals plan, design and manage the environment.This book supports those working in the built environment and public health sectors, with the knowledge and insight to maximise health improvement through planning and land use decisions.Supported by examples of policy and approaches, it focuses on implementation and delivery, and sets out what is needed to achieve healthier environments within the parameters of legislative and policy frameworks. It demonstrates how when we harness the art and science of public health spatial planning, can we begin to effect changes to the policies and decisions that shape population health.
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Spatial Audio
Explores the principles and practical considerations of spatial sound recording and reproduction.Particular emphasis is given to the increasing importance of multichannel surround sound and 3D audio, including binaural approaches, without ignoring conventional stereo. The enhancement of spatial quality is arguably the only remaining hurdle to be overcome in pursuit of high quality sound reproduction.The rise of increasingly sophisticated spatial sound systems presents an enormous challenge to audio engineers, many of whom are confused by the possibilities and unfamiliar with standards, formats, track allocations, monitoring configurations and recording techniques.The author provides a comprehensive study of the current state of the art in spatial audio, concentrating on the most widely used approaches and configurations.Anyone wishing to expand their understanding of these cutting-edge technologies will want to own this book.
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Spatial Composition
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Spatial Analysis
SPATIAL ANALYSIS Explore the foundations and latest developments in spatial statistical analysis In Spatial Analysis, two distinguished authors deliver a practical and insightful exploration of the statistical investigation of the interdependence of random variables as a function of their spatial proximity.The book expertly blends theory and application, offering numerous worked examples and exercises at the end of each chapter.Increasingly relevant to fields as diverse as epidemiology, geography, geology, image analysis, and machine learning, spatial statistics is becoming more important to a wide range of specialists and professionals.The book includes: Thorough introduction to stationary random fields, intrinsic and generalized random fields, and stochastic modelsComprehensive exploration of the estimation of spatial structurePractical discussion of kriging and the spatial linear model Spatial Analysis is an invaluable resource for advanced undergraduate and postgraduate students in statistics, data science, digital imaging, geostatistics, and agriculture.It’s also an accessible reference for professionals who are required to use spatial models in their work.
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Can missing spatial vision be compensated for by spatial imagination?
While spatial imagination can help individuals navigate and understand their surroundings to some extent, it may not fully compensate for missing spatial vision. Spatial imagination relies on mental imagery and memory, which may not always accurately represent the physical environment. Missing spatial vision can impact an individual's ability to perceive depth, distance, and obstacles in their surroundings, which may not be fully compensated for by imagination alone. However, individuals can develop strategies and adaptive skills to enhance their spatial awareness and compensate for their visual impairment to some degree.
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What is the difference between spatial planning and spatial planning?
Spatial planning and urban planning are closely related but have different focuses. Spatial planning is a broader concept that encompasses the organization and management of land use and resources at a regional, national, or even global scale. It involves the strategic allocation of land for various purposes such as housing, transportation, agriculture, and conservation. On the other hand, urban planning specifically deals with the development and organization of urban areas, including the design of infrastructure, public spaces, and buildings within cities and towns. While spatial planning considers a larger geographical area, urban planning is more focused on the specific needs and challenges of urban environments.
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What effect does the spatial representation or spatial arrangement have?
The spatial representation or spatial arrangement of objects can have a significant impact on how we perceive and interact with our environment. It can influence our sense of orientation, navigation, and wayfinding, as well as our understanding of the relationships between objects and spaces. Additionally, spatial arrangement can affect the flow of movement and the distribution of resources within a given space. Overall, the spatial representation or arrangement plays a crucial role in shaping our experiences and interactions within physical and virtual environments.
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What is spatial vision?
Spatial vision refers to the ability of the visual system to perceive and interpret the spatial relationships between objects in the environment. It allows us to understand the size, shape, distance, and location of objects in our surroundings. Spatial vision is essential for tasks such as navigating through space, interacting with objects, and judging depth and perspective. It is a complex process that involves the integration of visual information from both eyes to create a coherent representation of the three-dimensional world.
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Spatial Violence
This book poses spatial violence as a constitutive dimension of architecture and its epistemologies, as well as a method for theoretical and historical inquiry intrinsic to architecture; and thereby offers an alternative to predominant readings of spatial violence as a topic, event, fact, or other empirical form that may be illustrated by architecture.Exploring histories of and through architecture at sites across the globe, the chapters in the book blur the purportedly distinctive borders between war and peace, framing violence as a form of social, political, and economic order rather than its exceptional interruption.Regarding space and violence as co-constitutive, the book’s collected essays critique modernization and capitalist accumulation as naturalized modes for the extraction of violence from everyday life.Focusing on the mediation of violence through architectural registers of construction, destruction, design, use, representation, theory, and history, the book suggests that violence is not only something inflicted upon architecture, but also something that architecture inflicts.In keeping with Walter Benjamin’s formulation that there is no document of civilization that is not also a document of barbarism, the book offers "spatial violence" as another name for "architecture" itself.This book was previously published as a special issue of Architectural Theory Review.
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Au Spatial
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Modelling Spatial and Spatial-Temporal Data : A Bayesian Approach
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data.It assumes a grounding in statistical theory up to the standard linear regression model.The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter.The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications.The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data.Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process.There are then two theoretical chapters on Bayesian models and a chapter of applications.Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications.Part III discusses modelling spatial-temporal data, first introducing models for time series data.Exploratory methods for detecting different types of space-time interaction are presented, followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models.An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease.A final chapter suggests some future directions and challenges. Robert Haining is Emeritus Professor in Human Geography, University of Cambridge, England.He is the author of Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and Practice (2003).He is a Fellow of the RGS-IBG and of the Academy of Social Sciences. Guangquan Li is Senior Lecturer in Statistics in the Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, England.His research includes the development and application of Bayesian methods in the social and health sciences.He is a Fellow of the Royal Statistical Society.
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Spatial Statistics Illustrated
Spatial statistics empowers you to go beyond visual analysis to answer questions confidently and make data-driven decisions. Thanks to the data and computational power now at our fingertips, data science is in every aspect of our lives.But with so many algorithms and buzzwords floating around, where do you start to solve complex problems or figure out where to go next?There has never been a more exciting time to learn about spatial statistics.Spatial statistics uses an aspect of geography that helps you quantify patterns and relationships so that you can feel confident in your analysis. Spatial Statistics Illustrated is an introductory book for learning the concepts behind the powerful spatial statistics tools in ArcGIS. With approachable explanations and uncomplicated drawings, Spatial Statistics Illustrated gives readers an accessible understanding of some of the most widely used spatial statistics methods, including how they work and when to use them.In a friendly, conversational tone, the authors share techniques that can help you explore your data in meaningful ways; quantify patterns and relationships; understand trends, and make informed, impactful decisions. This book has something for everyone analyzing data, including:seasoned data scientists looking to explore the value that spatial analysis offersGIS analysts looking to expand their spatial statistics skill setnew GIS users discovering the value of spatial statisticsSpatial Statistics Illustrated is a perfect complement to more traditional, technical statistics and spatial statistics texts and is also ideal as supplemental reading for academic courses. Based on the popular series of Spatial Statistics workshops presented by the authors at the annual Esri User Conference, Spatial Statistics Illustrated welcomes readers into the unparalleled world of spatial statistics.
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What is spatial thinking?
Spatial thinking is the ability to understand and interpret the world in terms of space and location. It involves the mental manipulation and organization of spatial information, such as maps, diagrams, and geometric shapes. Spatial thinking allows individuals to visualize and navigate through physical and abstract spaces, and to solve problems related to spatial relationships and patterns. It is a fundamental skill in fields such as geography, architecture, engineering, and urban planning.
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What is spatial reasoning?
Spatial reasoning is the ability to understand and manipulate visual information about objects and their relationships in space. It involves skills such as mental rotation, visualization, and understanding of spatial patterns. People with strong spatial reasoning skills can easily interpret and create visual representations, understand maps and diagrams, and solve problems involving spatial relationships. This ability is important in fields such as mathematics, engineering, architecture, and design.
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What is spatial music?
Spatial music is a type of music composition and performance that takes into consideration the physical space in which it is being presented. It involves the manipulation of sound in three-dimensional space, often using multiple speakers or surround sound systems to create an immersive listening experience. Spatial music can involve the movement of sound sources, the placement of speakers throughout a performance space, and the use of technology to control the spatial distribution of sound. This approach allows for a more dynamic and interactive relationship between the music and the listener, as the spatial elements can enhance the emotional impact and create a sense of envelopment.
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What is spatial bridging?
Spatial bridging refers to the process of connecting different geographical areas or spaces in order to facilitate communication, interaction, and exchange of resources. This can involve physical infrastructure such as roads, bridges, and transportation networks, as well as digital infrastructure such as internet connectivity and communication technologies. Spatial bridging is important for promoting economic development, social integration, and cultural exchange between different regions and communities. It helps to overcome geographical barriers and create a more interconnected and accessible world.
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