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Elements of Spatial Data Quality

Elements of Spatial Data Quality
Author: S.C. Guptill
Publisher: Elsevier
Total Pages: 219
Release: 2013-10-22
Genre: Technology & Engineering
ISBN: 1483287947

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Elements of Spatial Data Quality outlines the need and suggests potential categories for the content of a comprehensive statement of data quality that must be imbedded in the metadata that accompanies the transfer of a digital spatial data file or is available in a separate metadata catalog. Members of the International Cartographic Association's Commission on Spatial Data Quality have identified seven elements of data quality: positional accuracy, attribute accuracy, completeness, logical consistency, lineage, semantic accuracy and temporal information. In the book the authors describe: components of each data quality element, possible metrics that can be used to measure the quality of each criteria, possible testing and rating schemes, and how these parameters might differ from a producer or user point of view. Finally no volume of this nature would be complete without a chapter devoted to necessary future research in this subject area. The chapter points out areas in need of further investigation and speculates about the use and transfer of digital spatial data in tomorrow's electronic world and at developments in presenting specified data quality information in a visualization. This book will be of interest to all of those individuals involved in geographical information systems and spatial data handling.


Spatial Data Quality

Spatial Data Quality
Author: Wenzhong Shi
Publisher: CRC Press
Total Pages: 474
Release: 2002-09-05
Genre: Technology & Engineering
ISBN: 1134514395

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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


Fundamentals of Spatial Data Quality

Fundamentals of Spatial Data Quality
Author: Rodolphe Devillers
Publisher: John Wiley & Sons
Total Pages: 311
Release: 2010-01-05
Genre: Mathematics
ISBN: 0470394811

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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. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspectives on how to evaluate the quality of vector or raster data which are both produced and used. It also covers the key concepts in this field, such as: how to describe the quality of vector or raster data; how to enhance this quality; how to evaluate and document it, using methods such as metadata; how to communicate it to users; and how to relate it with the decision-making process. Also included is a Foreword written by Professor Michael F. Goodchild.


Spatial Data Quality

Spatial Data Quality
Author: Rodolphe Devillers
Publisher: CRC Press
Total Pages: 246
Release: 2010
Genre: Business & Economics
ISBN:

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This book provides an overview of research in the field of spatial data quality, which looks at understanding, measuring, describing, and communicating information about the imperfections of geographic data used by GIS and other mapping software. It presents results from a number of research projects in this area, from the assessment of data accuracy to legal aspects relating to the quality of geographic information. The international contributors focus on the relationship between the quality of geographic data and the quality of decisions based on such data.


Spatial Data Quality

Spatial Data Quality
Author: Wenzhong Shi
Publisher: CRC Press
Total Pages: 354
Release: 2002-09-05
Genre: Technology & Engineering
ISBN: 0203303245

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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


Quality Aspects in Spatial Data Mining

Quality Aspects in Spatial Data Mining
Author: Alfred Stein
Publisher: CRC Press
Total Pages: 392
Release: 2009
Genre: Business & Economics
ISBN:

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In this cohesive collection of peer-reviewed chapters, field authorities present the latest field advancements and cover essential areas such as data acquisition, geoinformation theory, spatial statistics, and dissemination. Each chapter opens with an editorial preview of each topic from a conceptual, applied, and methodological point of view, making it easier for researchers to judge which information is most beneficial to their work. Under the editorial guidance of internationally respected geoinformatics experts, the volume addresses quality aspects in the entire spatial data mining process, from data acquisition to end user.


Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
Author: Wenzhong Shi
Publisher: CRC Press
Total Pages: 456
Release: 2009-09-30
Genre: Mathematics
ISBN: 1420059289

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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


Spatial Data Analysis

Spatial Data Analysis
Author: Robert P. Haining
Publisher: Cambridge University Press
Total Pages: 462
Release: 2003-04-17
Genre: Business & Economics
ISBN: 9780521774376

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Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.


Spatial Accuracy Assessment

Spatial Accuracy Assessment
Author: Kim Lowell
Publisher: CRC Press
Total Pages: 484
Release: 2000-03-01
Genre: Technology & Engineering
ISBN: 9781575041193

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Spatial technologies such as GIS and remote sensing are widely used for environmental and natural resource studies. Spatial Accuracy Assessment provides state-of-the-science methods, techniques and real-world solutions designed to validate spatial data, to meet quality assurance objectives, and to ensure cost-effective project implementation and completion. If you use GIS, remote sensing and other spatial mapping technologies for resource management, land use planning, engineering or environmental studies, this vital reference will save you time and money.


Uncertainty Modelling and Quality Control for Spatial Data

Uncertainty Modelling and Quality Control for Spatial Data
Author: Shi Wenzhong
Publisher: CRC Press
Total Pages: 312
Release: 2015-11-04
Genre: Mathematics
ISBN: 1498733344

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Offers New Insight on Uncertainty ModellingFocused 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