Spatial Data Mining

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Quality Aspects in Spatial Data Mining

Alfred Stein,Wenzhong Shi,Wietske Bijker
Quality Aspects in Spatial Data Mining Book PDF

Author : Alfred Stein,Wenzhong Shi,Wietske Bijker
Publisher : CRC Press
Page : 374 pages
File Size : 43,7 Mb
Release : 2016-04-19
Category : Technology & Engineering
ISBN : 9781420069273

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Quality Aspects in Spatial Data Mining by Alfred Stein,Wenzhong Shi,Wietske Bijker Pdf

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial 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 imprecise, allowing for much interpretation of abstract figures and data. Quality Aspects in Spatial Data Mining introduces practical and theoretical solutions for making sense of the often chaotic and overwhelming amount of concrete data available to researchers. In this cohesive collection of peer-reviewed chapters, field authorities present the latest field advancements and cover such essential areas as data acquisition, geoinformation theory, spatial statistics, and dissemination. Each chapter debuts 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. Chapters Evolve From Error Propagation and Spatial Statistics to Address Relevant Applications The book advises the use of granular computing as a means of circumventing spatial complexities. This counter-application to traditional computing allows for the calculation of imprecise probabilities – the kind of information that the spatial information systems community wrestles with much of the time. Under the editorial guidance of internationally respected geoinformatics experts, this indispensable volume addresses quality aspects in the entire spatial data mining process, from data acquisition to end user. It also alleviates what is often field researchers’ most daunting task by organizing the wealth of concrete spatial data available into one convenient source, thereby advancing the frontiers of spatial information systems.

Spatial Data Mining

Deren Li,Shuliang Wang,Deyi Li
Spatial Data Mining Book PDF

Author : Deren Li,Shuliang Wang,Deyi Li
Publisher : Springer
Page : 308 pages
File Size : 40,8 Mb
Release : 2016-03-23
Category : Computers
ISBN : 9783662485385

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Spatial Data Mining by Deren Li,Shuliang Wang,Deyi Li Pdf

· 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

Hamid Reza Pourghasemi,Mauro Rossi
Natural Hazards GIS Based Spatial Modeling Using Data Mining Techniques Book PDF

Author : Hamid Reza Pourghasemi,Mauro Rossi
Publisher : Springer
Page : 296 pages
File Size : 42,7 Mb
Release : 2018-12-13
Category : Nature
ISBN : 9783319733838

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Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques by Hamid Reza Pourghasemi,Mauro Rossi Pdf

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.

Emerging Trends in Open Source Geographic Information Systems

Srivastava, Naveenchandra N.
Emerging Trends in Open Source Geographic Information Systems Book PDF

Author : Srivastava, Naveenchandra N.
Publisher : IGI Global
Page : 302 pages
File Size : 40,8 Mb
Release : 2018-05-25
Category : Technology & Engineering
ISBN : 9781522550402

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Emerging Trends in Open Source Geographic Information Systems by Srivastava, Naveenchandra N. Pdf

Open access to information of geographic places and spatial relationships provides an essential part of the analytical processing of spatial data. Access to connected geospatial programs allows for improvement in teaching and understanding science, technology, engineering, and mathematics. Emerging Trends in Open Source Geographic Information Systems provides emerging research on the applications of free and open software in geographic information systems in various fields of study. While highlighting topics such as data warehousing, hydrological modeling, and software packages, this publication explores the assessment and techniques of open software functionality and interfaces. This book is an important resource for professionals, researchers, academicians, and students seeking current research on the different types and uses of data and data analysis in geographic information systems.

Visual and Spatial Analysis

Boris Kovalerchuk,James Schwing
Visual and Spatial Analysis Book PDF

Author : Boris Kovalerchuk,James Schwing
Publisher : Springer Science & Business Media
Page : 582 pages
File Size : 51,7 Mb
Release : 2007-11-06
Category : Computers
ISBN : 9781402029585

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Visual and Spatial Analysis by Boris Kovalerchuk,James Schwing Pdf

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating data on a city map. The goal of this book is to present the current trends in visual and spatial analysis for data mining, reasoning, problem solving and decision-making. This is the first book to focus on visual decision making and problem solving in general with specific applications in the geospatial domain - combining theory with real-world practice. The book is unique in its integration of modern symbolic and visual approaches to decision making and problem solving. As such, it ties together much of the monograph and textbook literature in these emerging areas. This book contains 21 chapters that have been grouped into five parts: (1) visual problem solving and decision making, (2) visual and heterogeneous reasoning, (3) visual correlation, (4) visual and spatial data mining, and (5) visual and spatial problem solving in geospatial domains. Each chapter ends with a summary and exercises. The book is intended for professionals and graduate students in computer science, applied mathematics, imaging science and Geospatial Information Systems (GIS). In addition to being a state-of-the-art research compilation, this book can be used a text for advanced courses on the subjects such as modeling, computer graphics, visualization, image processing, data mining, GIS, and algorithm analysis.

Advances in Spatial Databases

Michel Scholl
Advances in Spatial Databases Book PDF

Author : Michel Scholl
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 45,7 Mb
Release : 1997-07-02
Category : Computers
ISBN : 3540632387

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Advances in Spatial Databases by Michel Scholl Pdf

Content Description #Includes bibliographical references and index.

Automating the Analysis of Spatial Grids

Valliappa Lakshmanan
Automating the Analysis of Spatial Grids Book PDF

Author : Valliappa Lakshmanan
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 41,9 Mb
Release : 2012-06-14
Category : Science
ISBN : 9789400740754

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Automating the Analysis of Spatial Grids by Valliappa Lakshmanan Pdf

The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.

Geographic Data Mining and Knowledge Discovery

Harvey J. Miller,Jiawei Han
Geographic Data Mining and Knowledge Discovery Book PDF

Author : Harvey J. Miller,Jiawei Han
Publisher : CRC Press
Page : 486 pages
File Size : 55,7 Mb
Release : 2009-05-27
Category : Computers
ISBN : 9781420073980

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Geographic Data Mining and Knowledge Discovery by Harvey J. Miller,Jiawei Han Pdf

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

Data Mining for Geoinformatics

Guido Cervone,Jessica Lin,Nigel Waters
Data Mining for Geoinformatics Book PDF

Author : Guido Cervone,Jessica Lin,Nigel Waters
Publisher : Springer Science & Business Media
Page : 166 pages
File Size : 48,9 Mb
Release : 2013-08-16
Category : Computers
ISBN : 9781461476696

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Data Mining for Geoinformatics by Guido Cervone,Jessica Lin,Nigel Waters Pdf

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.

Spatial Database Systems

Albert K.W. Yeung,G. Brent Hall
Spatial Database Systems Book PDF

Author : Albert K.W. Yeung,G. Brent Hall
Publisher : Springer Science & Business Media
Page : 555 pages
File Size : 47,9 Mb
Release : 2007-05-23
Category : Science
ISBN : 9781402053924

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Spatial Database Systems by Albert K.W. Yeung,G. Brent Hall Pdf

This book places spatial data within the broader domain of information technology (IT) while providing a comprehensive and coherent explanation of the guiding principles, methods, implementation and operational management of spatial databases within the workplace. The text explains the key concepts, issues and processes of spatial data implementation and provides a holistic management perspective.

Knowledge Discovery in Spatial Data

Yee Leung
Knowledge Discovery in Spatial Data Book PDF

Author : Yee Leung
Publisher : Springer Science & Business Media
Page : 381 pages
File Size : 44,7 Mb
Release : 2010-03-14
Category : Social Science
ISBN : 9783642026645

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Knowledge Discovery in Spatial Data by Yee Leung Pdf

When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: “the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis.

Data Mining for Scientific and Engineering Applications

R.L. Grossman,C. Kamath,P. Kegelmeyer,V. Kumar,R. Namburu
Data Mining for Scientific and Engineering Applications Book PDF

Author : R.L. Grossman,C. Kamath,P. Kegelmeyer,V. Kumar,R. Namburu
Publisher : Springer Science & Business Media
Page : 608 pages
File Size : 41,9 Mb
Release : 2013-12-01
Category : Computers
ISBN : 9781461517337

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Data Mining for Scientific and Engineering Applications by R.L. Grossman,C. Kamath,P. Kegelmeyer,V. Kumar,R. Namburu Pdf

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.

Lecture Notes in Data Mining

Michael W. Berry,Murray Browne
Lecture Notes in Data Mining Book PDF

Author : Michael W. Berry,Murray Browne
Publisher : World Scientific
Page : 238 pages
File Size : 48,7 Mb
Release : 2006
Category : Computers
ISBN : 9789812773630

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Lecture Notes in Data Mining by Michael W. Berry,Murray Browne Pdf

The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This book is a series of seventeen edited OC student-authored lecturesOCO which explore in depth the core of data mining (classification, clustering and association rules) by offering overviews that include both analysis and insight. The initial chapters lay a framework of data mining techniques by explaining some of the basics such as applications of Bayes Theorem, similarity measures, and decision trees. Before focusing on the pillars of classification, clustering and association rules, the book also considers alternative candidates such as point estimation and genetic algorithms. The book''s discussion of classification includes an introduction to decision tree algorithms, rule-based algorithms (a popular alternative to decision trees) and distance-based algorithms. Five of the lecture-chapters are devoted to the concept of clustering or unsupervised classification. The functionality of hierarchical and partitional clustering algorithms is also covered as well as the efficient and scalable clustering algorithms used in large databases. The concept of association rules in terms of basic algorithms, parallel and distributive algorithms and advanced measures that help determine the value of association rules are discussed. The final chapter discusses algorithms for spatial data mining. Sample Chapter(s). Chapter 1: Point Estimation Algorithms (397 KB). Contents: Point Estimation Algorithms; Applications of Bayes Theorem; Similarity Measures; Decision Trees; Genetic Algorithms; Classification: Distance Based Algorithms; Decision Tree-Based Algorithms; Covering (Rule-Based) Algorithms; Clustering: An Overview; Clustering Hierarchical Algorithms; Clustering Partitional Algorithms; Clustering: Large Databases; Clustering Categorical Attributes; Association Rules: An Overview; Association Rules: Parallel and Distributed Algorithms; Association Rules: Advanced Techniques and Measures; Spatial Mining: Techniques and Algorithms. Readership: An introductory data mining textbook or a technical data mining book for an upper level undergraduate or graduate level course."

Spatial Data Handling in Big Data Era

Chenghu Zhou,Fenzhen Su,Francis Harvey,Jun Xu
Spatial Data Handling in Big Data Era Book PDF

Author : Chenghu Zhou,Fenzhen Su,Francis Harvey,Jun Xu
Publisher : Springer
Page : 237 pages
File Size : 51,5 Mb
Release : 2017-05-04
Category : Science
ISBN : 9789811044243

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Spatial Data Handling in Big Data Era by Chenghu Zhou,Fenzhen Su,Francis Harvey,Jun Xu Pdf

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.

Spatial Databases

Shashi Shekhar,Sanjay Chawla
Spatial Databases Book PDF

Author : Shashi Shekhar,Sanjay Chawla
Publisher : Pearson
Page : 296 pages
File Size : 47,7 Mb
Release : 2003
Category : Computers
ISBN : UOM:39015055086568

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Spatial Databases by Shashi Shekhar,Sanjay Chawla Pdf

This text aims to provide students with the basics in the applications and methods of spatial database management systems. It balances theory (cutting-edge research) and practice (commercial trends).