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Semantic Kriging For Spatio Temporal Prediction
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Book Synopsis Semantic Kriging for Spatio-temporal Prediction by : Shrutilipi Bhattacharjee
Download or read book Semantic Kriging for Spatio-temporal Prediction written by Shrutilipi Bhattacharjee and published by Springer. This book was released on 2019-07-01 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.
Book Synopsis Enhanced Bayesian Network Models for Spatial Time Series Prediction by : Monidipa Das
Download or read book Enhanced Bayesian Network Models for Spatial Time Series Prediction written by Monidipa Das and published by Springer Nature. This book was released on 2019-11-07 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data. Students of any other discipline of engineering, science, and technology, will also find this monograph useful. Research students looking for a suitable problem for their MS or PhD thesis will also find this monograph beneficial. The open research problems as discussed with sufficient references in Chapter-8 and Chapter-9 can immensely help graduate researchers to identify topics of their own choice. The various illustrations and proofs presented throughout the monograph may help them to better understand the working principles of the models. The present monograph, containing sufficient description of the parameter learning and inference generation process for each enhanced BN model, can also serve as an algorithmic cookbook for the relevant system developers.
Book Synopsis Handbook of Spatial Analysis in the Social Sciences by : Sergio J. Rey
Download or read book Handbook of Spatial Analysis in the Social Sciences written by Sergio J. Rey and published by Edward Elgar Publishing. This book was released on 2022-11-18 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Geographical Information System and Crime Mapping by : Monika Kannan
Download or read book Geographical Information System and Crime Mapping written by Monika Kannan and published by CRC Press. This book was released on 2020-11-29 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographical Information System and Crime Mapping features a diverse array of Geographic Information System (GIS) applications in crime analysis, from general issues such as GIS as a communication process, interjurisdictional mapping and data sharing to specific applications in tracking serial killers and predicting violence-prone zones. It supports readers in developing and implementing crime mapping techniques. The distribution of crime is explained with reference to theories of human ecology, transport network, built environment, housing markets, and forms of urban management, including policing. Concepts are supported with relevant case studies and real-time crime data to illustrate concepts and applications of crime mapping. Aimed at senior undergraduate, graduate students, professionals in GIS, Crime Analysis, Spatial Analysis, Ergonomics and human factors, this book: Provides an update of GIS applications for crime mapping studies Highlights growing potential of GIS for crime mapping, monitoring, and reduction through developing and implementing crime mapping techniques Covers Operational Research, Spatial Regression model, Point Analysis and so forth Builds models helpful in police patrolling, surveillance and crime mapping from a technology perspective Includes a dedicated section on case studies including exercises and data samples
Book Synopsis Spatio-Temporal Stream Reasoning with Adaptive State Stream Generation by : Daniel de Leng
Download or read book Spatio-Temporal Stream Reasoning with Adaptive State Stream Generation written by Daniel de Leng and published by Linköping University Electronic Press. This book was released on 2017-09-08 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: A lot of today's data is generated incrementally over time by a large variety of producers. This data ranges from quantitative sensor observations produced by robot systems to complex unstructured human-generated texts on social media. With data being so abundant, making sense of these streams of data through reasoning is challenging. Reasoning over streams is particularly relevant for autonomous robotic systems that operate in a physical environment. They commonly observe this environment through incremental observations, gradually refining information about their surroundings. This makes robust management of streaming data and its refinement an important problem. Many contemporary approaches to stream reasoning focus on the issue of querying data streams in order to generate higher-level information by relying on well-known database approaches. Other approaches apply logic-based reasoning techniques, which rarely consider the provenance of their symbolic interpretations. In this thesis, we integrate techniques for logic-based spatio-temporal stream reasoning with the adaptive generation of the state streams needed to do the reasoning over. This combination deals with both the challenge of reasoning over streaming data and the problem of robustly managing streaming data and its refinement. The main contributions of this thesis are (1) a logic-based spatio-temporal reasoning technique that combines temporal reasoning with qualitative spatial reasoning; (2) an adaptive reconfiguration procedure for generating and maintaining a data stream required to perform spatio-temporal stream reasoning over; and (3) integration of these two techniques into a stream reasoning framework. The proposed spatio-temporal stream reasoning technique is able to reason with intertemporal spatial relations by leveraging landmarks. Adaptive state stream generation allows the framework to adapt in situations in which the set of available streaming resources changes. Management of streaming resources is formalised in the DyKnow model, which introduces a configuration life-cycle to adaptively generate state streams. The DyKnow-ROS stream reasoning framework is a concrete realisation of this model that extends the Robot Operating System (ROS). DyKnow-ROS has been deployed on the SoftBank Robotics NAO platform to demonstrate the system's capabilities in the context of a case study on run-time adaptive reconfiguration. The results show that the proposed system – by combining reasoning over and reasoning about streams – can robustly perform spatio-temporal stream reasoning, even when the availability of streaming resources changes.
Book Synopsis Statistical Semantic Analysis of Spatio-temporal Image Sequences by : Ying Luo
Download or read book Statistical Semantic Analysis of Spatio-temporal Image Sequences written by Ying Luo and published by . This book was released on 2004 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Software System for Spatio-temporal Prediction and Analysis by : Chellam Balasundaram Chellam
Download or read book A Software System for Spatio-temporal Prediction and Analysis written by Chellam Balasundaram Chellam and published by . This book was released on 2003 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonlinear Locally Weighted Kriging Prediction for Spatio-temporal Environmental Processes by : Olha Bodnar
Download or read book Nonlinear Locally Weighted Kriging Prediction for Spatio-temporal Environmental Processes written by Olha Bodnar and published by . This book was released on 2008 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spatial Big Data Science by : Zhe Jiang
Download or read book Spatial Big Data Science written by Zhe Jiang and published by Springer. This book was released on 2017-07-13 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data. Specifically, the authors introduce several recent spatial classification techniques, such as spatial decision trees and spatial ensemble learning. Several potential future research directions are also discussed. This book targets an interdisciplinary audience including computer scientists, practitioners and researchers working in the field of data mining, big data, as well as domain scientists working in earth science (e.g., hydrology, disaster), public safety and public health. Advanced level students in computer science will also find this book useful as a reference.
Book Synopsis Uncertain Spatiotemporal Data Management for the Semantic Web by : Bai, Luyi
Download or read book Uncertain Spatiotemporal Data Management for the Semantic Web written by Bai, Luyi and published by IGI Global. This book was released on 2024-03-01 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively.
Book Synopsis Semantic Validation in Spatio-temporal Schema Integration by : Anastasiya Sotnykova
Download or read book Semantic Validation in Spatio-temporal Schema Integration written by Anastasiya Sotnykova and published by . This book was released on 2006 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Uncertain Spatiotemporal Data Management for the Semantic Web by : Bai
Download or read book Uncertain Spatiotemporal Data Management for the Semantic Web written by Bai and published by Engineering Science Reference. This book was released on 2023-12-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively. This book caters specifically to the academic community, offering in-depth insights, innovative frameworks, and real-world applications that unlock the true potential of spatiotemporal data. With a comprehensive range of topics, from modeling to prediction and query optimization, this book equips scholars with the knowledge and tools they need to pioneer advancements in their field. Seasoned researchers and budding academics alike will find guidance within the pages of Uncertain Spatiotemporal Data Management for the Semantic Web along a transformative journey towards harnessing the power of spatiotemporal data in the semantic web, shaping the future of data management.
Author :Information Resources Management Association. International Conference Publisher :IGI Global ISBN 13 :9781878289841 Total Pages :1244 pages Book Rating :4.2/5 (898 download)
Book Synopsis Challenges of Information Technology Management in the 21st Century by : Information Resources Management Association. International Conference
Download or read book Challenges of Information Technology Management in the 21st Century written by Information Resources Management Association. International Conference and published by IGI Global. This book was released on 2000 with total page 1244 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the 21st century begins, we are faced with opportunities and challenges of available technology as well as pressured to create strategic and tactical plans for future technology. Worldwide, IT professionals are sharing and trading concepts and ideas for effective IT management, and this co-operation is what leads to solid IT management practices. This volume is a collection of papers that present IT management perspectives from professionals around the world. The papers seek to offer new ideas, refine old ones, and pose interesting scenarios to help the reader develop company-sensitive management strategies.
Book Synopsis Spatio-temporal Querying Using a Semantic Sequence State Graph by : Mitesh Maruti Naik
Download or read book Spatio-temporal Querying Using a Semantic Sequence State Graph written by Mitesh Maruti Naik and published by . This book was released on 2008 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Extreme Precipitation Events: Spatio-Temporal Connections, Forecasting, Generation, Impact Analysis, Vulnerability and Risk Assessment by : Sanjeev Kumar Jha
Download or read book Extreme Precipitation Events: Spatio-Temporal Connections, Forecasting, Generation, Impact Analysis, Vulnerability and Risk Assessment written by Sanjeev Kumar Jha and published by Frontiers Media SA. This book was released on 2023-03-17 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Special Issue: Cognitive Semantics and Spatio-temporal Ontologies by : Werner Kuhn
Download or read book Special Issue: Cognitive Semantics and Spatio-temporal Ontologies written by Werner Kuhn and published by . This book was released on 2007 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Encyclopedia of GIS by : Shashi Shekhar
Download or read book Encyclopedia of GIS written by Shashi Shekhar and published by Springer Science & Business Media. This book was released on 2007-12-12 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.
