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Quality Aspects in Spatial Data Mining

Quality Aspects in Spatial Data Mining PDF Author: Alfred Stein
Publisher: CRC Press
ISBN: 1420069276
Category : Mathematics
Languages : en
Pages : 378

Book Description
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

Quality Aspects in Spatial Data Mining

Quality Aspects in Spatial Data Mining PDF Author: Alfred Stein
Publisher: CRC Press
ISBN: 1420069276
Category : Mathematics
Languages : en
Pages : 378

Book Description
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

Uncertainty Modelling and Quality Control for Spatial Data

Uncertainty Modelling and Quality Control for Spatial Data PDF Author: Wenzhong Shi
Publisher:
ISBN: 9780367377144
Category :
Languages : en
Pages : 0

Book Description
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 multiscale 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 multidimensional 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 multiscale 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 multidimensional data integration, multiscale data representation, national or regional spatial data products, and new spatial data mining methods. Book jacket.

Spatial Data Mining

Spatial Data Mining PDF Author: Deren Li
Publisher: Springer
ISBN: 3662485389
Category : Computers
Languages : en
Pages : 329

Book Description
· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.

Elements of Spatial Data Quality

Elements of Spatial Data Quality PDF Author: S.C. Guptill
Publisher: Elsevier
ISBN: 1483287947
Category : Technology & Engineering
Languages : en
Pages : 219

Book Description
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.

Information Quality and Governance for Business Intelligence

Information Quality and Governance for Business Intelligence PDF Author: Yeoh, William
Publisher: IGI Global
ISBN: 1466648937
Category : Business & Economics
Languages : en
Pages : 478

Book Description
Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.

Uncertainty Modelling and Quality Control for Spatial Data

Uncertainty Modelling and Quality Control for Spatial Data PDF Author: Shi Wenzhong
Publisher: CRC Press
ISBN: 1498733344
Category : Mathematics
Languages : en
Pages : 312

Book Description
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

Cognitive Aspects of Human-Computer Interaction for GIS

Cognitive Aspects of Human-Computer Interaction for GIS PDF Author: Dieter Fritsch
Publisher: MDPI
ISBN: 303921568X
Category : Computers
Languages : en
Pages : 196

Book Description
The book is dealing with recent progress in human–computer interaction (HCI) related to geographic information science (GIS). The Editorial starts with an overview about the evolution of the Internet and first HCI concepts and stimulates recent HCI developments using 3D and 4D apps, running on all mobile devices with OS Android, iOS, Linus, and Windows. Eight research articles present the state-of-the-art in HCI–GIS-related issues, starting with gender and age differences in using indoor maps via the estimation of building heights from space to an efficient visualization method for polygonal data with dynamic simplification. The review article deals with progress and challenges on entity alignment of geographic knowledge bases.

Geographical Information Systems

Geographical Information Systems PDF Author: Elaheh Pourabbas
Publisher: CRC Press
ISBN: 1466596937
Category : Computers
Languages : en
Pages : 360

Book Description
Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS.

Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection

Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection PDF Author: Koyuncugil, Ali Serhan
Publisher: IGI Global
ISBN: 1616928670
Category : Computers
Languages : en
Pages : 356

Book Description
Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection has never been more important, as the research this book presents an alternative to conventional surveillance and risk assessment. This book is a multidisciplinary excursion comprised of data mining, early warning systems, information technologies and risk management and explores the intersection of these components in problematic domains. It offers the ability to apply the most modern techniques to age old problems allowing for increased effectiveness in the response to future, eminent, and present risk.

Spatial Data Handling in Big Data Era

Spatial Data Handling in Big Data Era PDF Author: Chenghu Zhou
Publisher: Springer
ISBN: 9811044244
Category : Science
Languages : en
Pages : 239

Book Description
This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications. Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.