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, thisbook 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.
Автор: Alias Abdul-Rahman; Morakot Pilouk Название: Spatial Data Modelling for 3D GIS ISBN: 3642093493 ISBN-13(EAN): 9783642093494 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers fundamental aspects of spatial data modelling specifically on the aspect of three-dimensional (3D) modelling and structuring. Realisation of "true" 3D GIS spatial system needs a lot of effort, and the process is taking place in various research centres and universities in some countries.
Автор: Shi, Wenzhong , Fisher, Peter , Goodchild, Micha Название: Spatial Data Quality ISBN: 0367395851 ISBN-13(EAN): 9780367395858 Издательство: Taylor&Francis Рейтинг: Цена: 10104.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
As research in the geosciences and social sciences becomes increasingly dependent on computers, applications such as geographical information systems are becoming indispensable tools. But the digital representations of phenomena that these systems require are often of poor quality, leading to inaccurate results, uncertainty, error propagation, and potentially legal liability. Spatial data quality has become an essential research topic within geographical information science. This book covers many of the cutting-edge research issues related to spatial data quality, including measurement in GIS and geostatistics, the modeling of spatial objects that have inherent uncertainty, spatial data quality control, quality management, communicating uncertainty and resolution, reasoning and decision-making, visualization of uncertainty and error metadata. Spatial Data Quality will be of interest to anyone undertaking research using GIS and related technologies.
Автор: Devillers Название: Fundamentals of Spatial Data Quality ISBN: 1905209568 ISBN-13(EAN): 9781905209569 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context.
Автор: Pipien, Mateusz Roszkowska, Sylwia Название: Empirical macroeconomics and statistical uncertainty ISBN: 0367456710 ISBN-13(EAN): 9780367456719 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation.
Описание: This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disaggregation of basic macroeconomic variables and the assessment of the statistical uncertainty of the outcomes of disaggregation.
Автор: Mowrer, H. Todd Название: Quantifying Spatial Uncertainty in Natural Resources ISBN: 0367579014 ISBN-13(EAN): 9780367579012 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Shi, Wenzhong Название: Spatial Data Quality ISBN: 0415258359 ISBN-13(EAN): 9780415258357 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Mowrer, H. Todd Название: Quantifying Spatial Uncertainty in Natural Resources ISBN: 1575041316 ISBN-13(EAN): 9781575041315 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Нет в наличии.
Автор: Devillers, Rodolphe Название: Spatial Data Quality ISBN: 1439810125 ISBN-13(EAN): 9781439810125 Издательство: Taylor&Francis Рейтинг: Цена: 31390.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Название: Spatial Data Quality ISBN: 113811782X ISBN-13(EAN): 9781138117822 Издательство: Taylor&Francis Рейтинг: Цена: 12554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Producing maps that depict the real world accurately has been a major concern of cartographers for centuries. This is especially true today as escalating access to geospatial data and the subsequent increase in user-generated content provided by Web 2.0 have significantly altered the typical processes used to produce, distribute, and use geospatial data.
Focusing on users and decisions as well as the data, Spatial Data Quality: From Process to Decisions provides an up-to-date overview of scientific progress in this core sub-discipline of the Geographic Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) -- from the assessment of data accuracy to legal aspects relating to the quality of geographic information -- this reference reflects the changes in practice in response to the rapid technological developments over the past decade.
An impressive panel of internationally recognized expert contributors focuses on the relationship between the quality of geographic data and the quality of decisions based on such data. Structured for easy reference, the first section of the book discusses conceptual approaches to SDQ, the second presents a number of applications of spatial data quality methods, the third looks at SDQ issues for remote sensing data, and the final section presents papers that consider the interface between the law and SDQ.
In addition to the main chapters presented in each section, a number of shorter notes present on-going and recent research projects investigating various aspects of spatial data quality.
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