Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses PDF Download

Author: Wenzhong Shi
Publisher: CRC Press
ISBN: 1420059289
Category : Mathematics
Languages : en
Pages : 456

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Book Description
When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t

Author: Shi Wenzhong
Publisher: CRC Press
ISBN: 1498733344
Category : Mathematics
Languages : en
Pages : 294

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Book Description
Offers New Insight on Uncertainty Modelling Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties—such as data of questionable quality—in geographic information science (GIS) applications. By using original research, current advancement, and emerging developments in the field, the authors compile various aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book launches into areas that are rarely addressed. Topics covered include: New developments of uncertainty modelling, quality control of spatial data, and related research issues in spatial analysis Spatial statistical solutions in spatial data quality Eliminating systematic error in the analytical results of GIS applications A data quality perspective for GIS function workflow design Data quality in multi-dimensional integration Research challenges on data quality in the integration and analysis of data from multiple sources A new approach for imprecision management in the qualitative data warehouse A multi-dimensional quality assessment of photogrammetric and LiDAR datasets based on a vector approach An analysis on the uncertainty of multi-scale representation for street-block settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation, national or regional spatial data products, and new spatial data mining methods.

Author: Sergio J. Rey
Publisher: Edward Elgar Publishing
ISBN: 1789903947
Category : Technology & Engineering
Languages : en
Pages : 589

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Book Description
Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.

Author: Griffith, Daniel A.
Publisher: Edward Elgar Publishing
ISBN: 1800372825
Category : Social Science
Languages : en
Pages : 125

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Book Description
This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline.

Author: Jingxiong Zhang
Publisher: CRC Press
ISBN: 0203471326
Category : Technology & Engineering
Languages : en
Pages : 277

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Book Description
As Geographic Information Systems (GIS) develop, there is a need to demystify the complex geographical world to facilitate computerization in GIS by the inaccuracies that emerge from man-machine interactions in data acquisition and by error propagation in geoprocessing. Users need to be aware of the impacts of uncertainties in spatial analysis and decision-making. Uncertainty in Geographical Information discusses theoretical and practical aspects of spatial data processing and uncertainties, and covers a wide range of types of errors and fuzziness and emphasizes description and modeling. High level GIS professionals, researchers and graduate students will find this a constructive book.

Author: Sudipto Banerjee
Publisher: CRC Press
ISBN: 1135438080
Category : Mathematics
Languages : en
Pages : 470

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Book Description
Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis,

Author: Mireille Batton-Hubert
Publisher: John Wiley & Sons
ISBN: 1119648831
Category : Computers
Languages : en
Pages : 172

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Book Description
Geomatics is a field of science that has been intimately intertwined with our daily lives for almost 30 years, to the point where we often forget all the challenges it entails. Who does not have a navigation application on their phone or regularly engage with geolocated data? What is more, in the coming decades, the accumulation of geo-referenced data is expected to increase significantly. This book focuses on the notion of the imperfection of geographic data, an important topic in geomatics. It is essential to be able to define and represent the imperfections that are encountered in geographical data. Ignoring these imperfections can lead to many risks, for example in the use of maps which may be rendered inaccurate. It is, therefore, essential to know how to model and treat the different categories of imperfection. A better awareness of these imperfections will improve the analysis and the use of this type of data.

Author: Manfred M. Fischer
Publisher: Springer Science & Business Media
ISBN: 9783642217203
Category : Business & Economics
Languages : en
Pages : 80

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Book Description
The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised , and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.

Author: Bruce G. Marcot
Publisher: CRC Press
ISBN: 1000244571
Category : Business & Economics
Languages : en
Pages : 360

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Book Description
Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches. Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.

Author: Mei-Po Kwan
Publisher: Routledge
ISBN: 1134902883
Category : Science
Languages : en
Pages : 356

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Book Description
This book is a collection of papers reflecting the latest advances in geographic research on health, disease, and well-being. It spans a wide range of topics, theoretical perspectives, and methodologies - including anti-racism, post-colonialism, spatial statistics, spatiotemporal modeling, political ecology, and social network analysis. Health issues in various regions of the world are addressed by interdisciplinary authors, who include scholars from epidemiology, medicine, public health, demography, and community studies. The book covers the major themes in this field such as health inequalities; environmental health; spatial analysis and modeling of disease; health care provision, access, and utilization; health and wellbeing; and global/transnational health and health issues in the global south. There is also a specially commissioned book review in addition to the chapters included in these six sections. Together, these chapters show cogently how geographic perspectives and methods can contribute in significant ways to advancing our understanding of the complex interactions between social and physical environments and health behaviors and outcomes. This book was published as a special issue of Annals of the Association of American Geographers.