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Data Mining for Geoinformatics

Author: Guido Cervone

Publisher: Springer Science & Business Media

Published: 2013-08-16

Total Pages: 175

ISBN-13: 1461476690

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The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.

Book Synopsis Data Mining for Geoinformatics by : Guido Cervone

Download or read book Data Mining for Geoinformatics written by Guido Cervone and published by Springer Science & Business Media. This book was released on 2013-08-16 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.

Geographic Data Mining and Knowledge Discovery

Author: Harvey J. Miller

Publisher: CRC Press

Published: 2009-05-27

Total Pages: 486

ISBN-13: 1420073982

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The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee

Book Synopsis Geographic Data Mining and Knowledge Discovery by : Harvey J. Miller

Download or read book Geographic Data Mining and Knowledge Discovery written by Harvey J. Miller and published by CRC Press. This book was released on 2009-05-27 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee

Spatial Data Mining

Author: Deren Li

Publisher: Springer

Published: 2016-03-23

Total Pages: 329

ISBN-13: 3662485389

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· 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’.

Book Synopsis Spatial Data Mining by : Deren Li

Download or read book Spatial Data Mining written by Deren Li and published by Springer. This book was released on 2016-03-23 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: · 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’.

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Author: Hamid Reza Pourghasemi

Publisher: Springer

Published: 2018-12-13

Total Pages: 296

ISBN-13: 3319733834

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This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

Book Synopsis Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques by : Hamid Reza Pourghasemi

Download or read book Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques written by Hamid Reza Pourghasemi and published by Springer. This book was released on 2018-12-13 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

Quality Aspects in Spatial Data Mining

Author: Alfred Stein

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 378

ISBN-13: 1420069276

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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

Book Synopsis Quality Aspects in Spatial Data Mining by : Alfred Stein

Download or read book Quality Aspects in Spatial Data Mining written by Alfred Stein and published by CRC Press. This book was released on 2016-04-19 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

IT Roadmap to a Geospatial Future

Author: National Research Council

Publisher: National Academies Press

Published: 2003-05-04

Total Pages: 136

ISBN-13: 0309087384

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A grand challenge for science is to understand the human implications of global environmental change and to help society cope with those changes. Virtually all the scientific questions associated with this challenge depend on geospatial information (geoinformation) and on the ability of scientists, working individually and in groups, to interact with that information in flexible and increasingly complex ways. Another grand challenge is how to respond to calamities-terrorist activities, other human-induced crises, and natural disasters. Much of the information that underpins emergency preparedness, response, recovery, and mitigation is geospatial in nature. In terrorist situations, for example, origins and destinations of phone calls and e-mail messages, travel patterns of individuals, dispersal patterns of airborne chemicals, assessment of places at risk, and the allocation of resources all involve geospatial information. Much of the work addressing environment- and emergency-related concerns will depend on how productively humans are able to integrate, distill, and correlate a wide range of seemingly unrelated information. In addition to critical advances in location-aware computing, databases, and data mining methods, advances in the human-computer interface will couple new computational capabilities with human cognitive capabilities. This report outlines an interdisciplinary research roadmap at the intersection of computer science and geospatial information science. The report was developed by a committee convened by the Computer Science and Telecommunications Board of the National Research Council.

Book Synopsis IT Roadmap to a Geospatial Future by : National Research Council

Download or read book IT Roadmap to a Geospatial Future written by National Research Council and published by National Academies Press. This book was released on 2003-05-04 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: A grand challenge for science is to understand the human implications of global environmental change and to help society cope with those changes. Virtually all the scientific questions associated with this challenge depend on geospatial information (geoinformation) and on the ability of scientists, working individually and in groups, to interact with that information in flexible and increasingly complex ways. Another grand challenge is how to respond to calamities-terrorist activities, other human-induced crises, and natural disasters. Much of the information that underpins emergency preparedness, response, recovery, and mitigation is geospatial in nature. In terrorist situations, for example, origins and destinations of phone calls and e-mail messages, travel patterns of individuals, dispersal patterns of airborne chemicals, assessment of places at risk, and the allocation of resources all involve geospatial information. Much of the work addressing environment- and emergency-related concerns will depend on how productively humans are able to integrate, distill, and correlate a wide range of seemingly unrelated information. In addition to critical advances in location-aware computing, databases, and data mining methods, advances in the human-computer interface will couple new computational capabilities with human cognitive capabilities. This report outlines an interdisciplinary research roadmap at the intersection of computer science and geospatial information science. The report was developed by a committee convened by the Computer Science and Telecommunications Board of the National Research Council.

Data Mining for Co-location Patterns

Author: Guoqing Zhou

Publisher: CRC Press

Published: 2022-01-26

Total Pages: 229

ISBN-13: 1000533433

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Co-location pattern mining detects sets of features frequently located in close proximity to each other. This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining along with an in-depth overview of data mining, machine learning, and statistics. This arrangement of chapters helps readers understand the methods of co-location pattern mining step-by-step and their applications in pavement management, image classification, geospatial buffer analysis, etc.

Book Synopsis Data Mining for Co-location Patterns by : Guoqing Zhou

Download or read book Data Mining for Co-location Patterns written by Guoqing Zhou and published by CRC Press. This book was released on 2022-01-26 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Co-location pattern mining detects sets of features frequently located in close proximity to each other. This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining along with an in-depth overview of data mining, machine learning, and statistics. This arrangement of chapters helps readers understand the methods of co-location pattern mining step-by-step and their applications in pavement management, image classification, geospatial buffer analysis, etc.

Geoinformatics

Author: A. Krishna Sinha

Publisher: Geological Society of America

Published: 2006-01-01

Total Pages: 292

ISBN-13: 0813723973

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"The science of informatics in the broadest sense has been several thousands of years in the making. With the recent emergence of large storage devices and high-speed processing of data, it has become possible to organize vast amounts of data as digital products with ontologic tags and concepts for smart queries. Coupling this computational capability with earth science data defines the emerging field of geoinformatics. Since the science of geology was established several centuries ago, observations led to conclusions that were integrative in concept and clearly had profound implications for the birth of geology. As disciplinary information about Earth becomes more voluminous, the use of geoinformatics will lead to integrative, science-based discoveries of new knowledge about planetary systems. Twenty one research papers, co-authored by 96 researchers from both earth and computer sciences, provide the first-ever organized presentation of the science of informatics as it relates to geology. Readers will readily recognize the vast intellectual content represented by these papers as they seek to address the core research goals of geoinformatics."--Publisher's website.

Book Synopsis Geoinformatics by : A. Krishna Sinha

Download or read book Geoinformatics written by A. Krishna Sinha and published by Geological Society of America. This book was released on 2006-01-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The science of informatics in the broadest sense has been several thousands of years in the making. With the recent emergence of large storage devices and high-speed processing of data, it has become possible to organize vast amounts of data as digital products with ontologic tags and concepts for smart queries. Coupling this computational capability with earth science data defines the emerging field of geoinformatics. Since the science of geology was established several centuries ago, observations led to conclusions that were integrative in concept and clearly had profound implications for the birth of geology. As disciplinary information about Earth becomes more voluminous, the use of geoinformatics will lead to integrative, science-based discoveries of new knowledge about planetary systems. Twenty one research papers, co-authored by 96 researchers from both earth and computer sciences, provide the first-ever organized presentation of the science of informatics as it relates to geology. Readers will readily recognize the vast intellectual content represented by these papers as they seek to address the core research goals of geoinformatics."--Publisher's website.

DMG

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Publisher:

Published:

Total Pages:

ISBN-13:

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Book Synopsis DMG by :

Download or read book DMG written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Geospatial Data Science Techniques and Applications

Author: Hassan A. Karimi

Publisher: CRC Press

Published: 2017-10-24

Total Pages: 375

ISBN-13: 1351855980

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Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others) and engineers (from all fields including civil, environmental, chemical, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw geospatial data, and present select state-of-the-art geospatial data science techniques and how they are applied to various geoscience problems.

Book Synopsis Geospatial Data Science Techniques and Applications by : Hassan A. Karimi

Download or read book Geospatial Data Science Techniques and Applications written by Hassan A. Karimi and published by CRC Press. This book was released on 2017-10-24 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others) and engineers (from all fields including civil, environmental, chemical, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw geospatial data, and present select state-of-the-art geospatial data science techniques and how they are applied to various geoscience problems.