Spatial Data Quality
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Fundamentals Of Spatial Data Quality
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Author : Rodolphe Devillers
language : en
Publisher: John Wiley & Sons
Release Date : 2010-01-05
Fundamentals Of Spatial Data Quality written by Rodolphe Devillers and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-05 with Mathematics categories.
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.
Elements Of Spatial Data Quality
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Author : S.C. Guptill
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Elements Of Spatial Data Quality written by S.C. Guptill and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Technology & Engineering categories.
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
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Author : Wenzhong Shi
language : en
Publisher: CRC Press
Release Date : 2002-09-05
Spatial Data Quality written by Wenzhong Shi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-05 with Technology & Engineering categories.
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
Spatial Data Quality
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Author : Rodolphe Devillers
language : en
Publisher: CRC Press
Release Date : 2017-05-24
Spatial Data Quality written by Rodolphe Devillers and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-24 with Business & Economics categories.
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.
Spatial Data Quality
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Author : Pepijn van Oort
language : en
Publisher:
Release Date : 2005
Spatial Data Quality written by Pepijn van Oort and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Geographic information systems categories.
Uncertainty Modelling And Quality Control For Spatial Data
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Author : Shi Wenzhong
language : en
Publisher: CRC Press
Release Date : 2015-11-04
Uncertainty Modelling And Quality Control For Spatial Data written by Shi Wenzhong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-04 with Mathematics categories.
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
Spatial Data Quality
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Author : Wenzhong Shi
language : en
Publisher:
Release Date : 2002
Spatial Data Quality written by Wenzhong Shi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Geographic information systems categories.
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. It will be of interest to anyone undertaking research using GIS and related technologies.
Spatial Data Quality Management In Arcgis Pro
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Author : AHMED MAHMOUED. ABBAS
language : en
Publisher: Independently Published
Release Date : 2025-01-13
Spatial Data Quality Management In Arcgis Pro written by AHMED MAHMOUED. ABBAS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-13 with Education categories.
The book "Spatial Data Quality Management in ArcGIS Pro" serves as a comprehensive reference for anyone seeking to enhance the quality and analysis of spatial data effectively using ArcGIS Pro. Spatial data quality is the backbone of any project that relies on Geographic Information Systems (GIS). Decisions based on low-quality data can often be inaccurate or misleading. This book provides the tools and methods necessary to ensure data accuracy and validity through a comprehensive approach that covers all aspects of spatial quality management. The book comprises six chapters, preceded by an introduction: 1. Chapter One explores Data Engineering, focusing on the foundations of metadata. 2. Chapter Two covers Data Quality Control Using Topology Rules. 3. Chapter Three delves into managing geospatial data through Attribute Rules, including calculation, constraint, and validation rules. 4. Chapter Four discusses Data Quality Management Using Data Reviewer, highlighting how to run batch jobs, manage errors, and generate reports. 5. Chapter Five offers a simplified explanation of Attribute Rules, while showcasing the use of AI tools such as ChatGPT to enhance data quality and simplify coding tasks. 6. The final chapter introduces the basics of ArcGIS Arcade, laying a scientific foundation for readers to better understand the rules used to ensure data quality. This book is designed to guide readers through practical and theoretical aspects, enabling them to effectively manage spatial data quality while leveraging advanced tools and methodologies.
Quality Aspects In Spatial Data Mining
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Author : Alfred Stein
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Quality Aspects In Spatial Data Mining written by Alfred Stein and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data QualitySubstantial progress has been made toward developing effective techniques for spatial information processing in recent years. This science deals with models of reality in a GIS, however, and not with reality itself. Therefore, spatial information processes are often impre
Spatial Data Quality
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Author : Pepijn Adrianus Johannes Oort
language : en
Publisher:
Release Date : 2006*
Spatial Data Quality written by Pepijn Adrianus Johannes Oort and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006* with categories.