Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book provides practitioners with structured methods for transforming geospatial data into the useful information they need to solve some of the world's most pressing problems. It spotlights the importance of location for human experience in the everyday world and introduces spatial thinking as a foundation and the location mindset as a foundational perspective. The book starts by showing how geospatial analysis is part of a more general data-to-information refinement process that requires the right mindset, toolset, and skillset to achieve. The book then presents structured principles and practices to help geospatial analysts--whether in government or industry--improve their observational, analytical, and communication techniques. These techniques are part of an original framework for interpreting geospatial data and information: the Observe, Analyze, Communicate (OAC) Framework. The OAC framework helps practitioners at all levels break down the basic steps of their day-to-day practice and learn valuable tradecraft that they can employ during each step. You'll learn how to center location as a foundational perspective in everyday life; use unique geospatial observation, analysis, and communication techniques; and know how to account for the role of uncertainty in assessment and production processes -- including utilizing special techniques to effectively communicate levels of certainty and uncertainty to your audience. You'll also understand how pairing visual information with precise locational information serves to anchor human attention and provides an antidote to the common problem of disorientation. The book reveals specific techniques and tradecraft that will greatly benefit all practitioners working with visual and locational information. One such tradecraft called Structured Geospatial Observation Techniques (SGOT) includes a technique called the Four Cornerstones that will allow you to structure your approach to visual data and extract more attribute and contextual data from your object of focus. Another technique reveals industry and government-gleaned tips and tricks to creating finished geospatial communications in paragraphs, products, and presentations. Bringing together the authors' combined 30 years of experience with geospatial intelligence (GEOINT), this book is a must-have practical resource for students, faculty, and practitioners of geospatial endeavors at any level of experience, especially fields that use imagery and spatial analysis. It serves as a textbook for classroom beginners and as a go-to desktop reference for professionals in their day-to-day geospatial efforts.

Geospatial data --- Spatial data mining. --- Research --- Methodology.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Universal soil loss equation --- Spatial data mining --- Technique. --- United States.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Data mining. --- Natural disasters --- Emergency management --- Geographic information systems. --- Geology. --- Natural Hazards. --- Data Mining and Knowledge Discovery. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Geognosy --- Geoscience --- Earth sciences --- Natural history --- Spatial data mining. --- Natural disasters. --- Natural calamities --- Disasters

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

· 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’. p>.

Computer Science --- Engineering & Applied Sciences --- Computer science. --- Data mining. --- Artificial intelligence. --- Remote sensing. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Remote Sensing/Photogrammetry. --- Artificial Intelligence (incl. Robotics). --- Artificial Intelligence. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Spatial data mining. --- Geospatial data. --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data. This is a scenario of great opportunities and risks: on one side, mining this data can produce useful knowledge, supporting sustainable mobility and intelligent transportation systems; on the other side, individual privacy is at risk, as the mobility data contain sensitive personal information. A new multidisciplinary research area is emerging at this crossroads of mobility, data mining, and privacy. This book assesses this research frontier from a computer science perspective, investigating the various scientific and technological issues, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, funded by the EU Commission and involving 40 researchers from 7 countries, and this book tightly integrates and relates their findings in 13 chapters covering all related subjects, including the concepts of movement data and knowledge discovery from movement data; privacy-aware geographic knowledge discovery; wireless network and next-generation mobile technologies; trajectory data models, systems and warehouses; privacy and security aspects of technologies and related regulations; querying, mining and reasoning on spatiotemporal data; and visual analytics methods for movement data. This book will benefit researchers and practitioners in the related areas of computer science, geography, social science, statistics, law, telecommunications and transportation engineering.

Geodatabases. --- Data mining. --- Mobile communication systems. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Digital geographical databases --- GDBs (Geodatabases) --- Geographic databases --- Geographic information databases --- Geographic information system databases --- Geographic information systems databases --- Geographical databases --- Geographical information system databases --- Geographical information systems databases --- Geography --- GIS databases --- GIS geodatabases --- Geographic information systems --- Geoinformatics --- Object-oriented databases --- Relational databases --- Vehicles --- Vehicular communication systems --- Radio --- Wireless communication systems --- Databases --- Communication systems --- Database management. --- Computer science. --- Computers --- Data Mining and Knowledge Discovery. --- Database Management. --- Computers and Society. --- Legal Aspects of Computing. --- Law and legislation. --- Informatics --- Science --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Cyberspace --- Law and legislation --- Spatial data mining. --- Computers and civilization. --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Civilization and computers --- Civilization --- Geodatabases --- Data mining --- Mobile communication systems --- Information systems