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Geodesy. Cartography --- Geology. Earth sciences --- Information systems --- Computer. Automation --- geodesie --- IR (information retrieval) --- informatica --- geologie

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Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today the widespread use of mobile phones and technologies like GPS and RFID provides an immense amount of data on location and movement.  What is needed are new methods of visualization and algorithmic data analysis that are tightly integrated and complement each other to allow end-users and analysts to extract useful knowledge from these extremely large data volumes. This is exactly the topic of this book. As the authors show, modern visual analytics techniques are ready to tackle the enormous challenges brought about by movement data, and the technology and software needed to exploit them are available today. The authors start by illustrating the different kinds of data available to describe movement, from individual trajectories of single objects to multiple trajectories of many objects, and then proceed to detail a conceptual framework, which provides the basis for a fundamental understanding of movement data. With this basis, they move on to more practical and technical aspects, focusing on how to transform movement data to make it more useful, and on the infrastructure necessary for performing visual analytics in practice. In so doing they demonstrate that visual analytics of movement data can yield exciting insights into the behavior of moving persons and objects, but can also lead to an understanding of the events that transpire when things move. Throughout the book, they use sample applications from various domains and illustrate the examples with graphical depictions of both the interactive displays and the analysis results. In summary, readers will benefit from this detailed description of the state of the art in visual analytics in various ways. Researchers will appreciate the scientific precision involved, software technologists will find essential information on algorithms and systems, and practitioners will profit from readily accessible examples with detailed illustrations for practical purposes.

Data mining. --- Information visualization. --- Pattern perception. --- Visual analytics. --- Engineering & Applied Sciences --- Computer Science --- Computer science. --- Database management. --- Information storage and retrieval systems. --- Optical pattern recognition. --- Informatics --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- 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 --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Pattern recognition. --- Application software. --- Geographical information systems. --- Computer Science. --- Database Management. --- Data Mining and Knowledge Discovery. --- Geographical Information Systems/Cartography. --- Pattern Recognition. --- Computer Appl. in Administrative Data Processing. --- Science --- Electronic data processing --- Database searching --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Information systems. --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geography --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- database management system. --- text and data mining. --- information storage and retrieval. --- computer applications. --- geographical information system. --- information processing. --- przetwarzanie informacji --- përpunimi ë informacionit --- infotöötlus --- spracovanie informácií --- zpracování informací --- информационна обработка --- információfeldolgozás --- proċessar tal-informazzjoni --- tiedonkäsittely --- informācijas apstrāde --- obrada informacija --- elaborazione delle informazioni --- procesare informații --- traitement de l'information --- informationsbehandling --- próiseáil faisnéise --- Informationsverarbeitung --- обработка на информации --- obdelava informacij --- επεξεργασία πληροφοριών --- tratamiento de la información --- informatieverwerking --- tratamento da informação --- informacijos apdorojimas --- обрада информација --- obrada obavijesti --- automatisierte Informationsverarbeitung --- automatisk informationsbehandling --- prelucrare informații --- automatische informatieverwerking --- információkezelés --- elektronisk informationsbehandling --- tratamento computorizado --- trasferimento delle informazioni su elaboratore --- trattamento elettronico del calcolatore --- rechnergestützte Informationsverarbeitung --- trattamento automatico dell'informazione --- Sistema de Información Geográfica --- córas faisnéise geografaí --- sistema di informazione geografica --- sistema de informação geográfica --- geografický informačný systém --- geografski informacijski sustav --- ģeogrāfiskā informācijas sistēma --- географска информационна система --- geografický informační systém --- geografiskt informationssystem --- geograafilise informatsiooni süsteem --- geografisk informationssystem --- sistem i informacionit gjeologjik --- sistema ta' informazzjoni ġeografika --- térinformatikai rendszer --- sistem de informații geografice --- geografinė informacijos sistema --- σύστημα γεωγραφικής πληροφόρησης --- географски информациски систем --- geografski informacijski sistem --- geografisches Informationssystem --- system informacji geograficznej --- geografisch informatiesysteem --- système d'information géographique --- географски информациони систем --- paikkatietojärjestelmä --- geographisches Informationssystem --- GIS --- SIG --- компютърни приложения --- rakendusinformaatika --- εφαρμοσμένη πληροφορική --- informática aplicada --- toegepaste informatica --- aplikovaná informatika --- angewandte Informatik --- računalniške aplikacije --- tietotekniikkasovellukset --- počítačové aplikácie --- informatica applicata --- kompiuterių taikymas --- aplicații pe calculator --- informatique appliquée --- računalni namjenski program --- feidhmchláir --- aplikacione kompjuteri --- рачунарске апликације --- applikazzjonijiet informatiċi --- informatyka stosowana --- datora lietojumprogrammas --- anvendt datamatik --- tillämpad informatik --- alkalmazott számítástechnika --- компјутерска наменска програма --- užitá informatika --- компјутерска апликација --- arvutirakendused --- applied computer science --- soveltava tietotekniikka --- shkenca e aplikuar e kompjuterave --- računalna aplikacija --- taikomoji kompiuterija --- alkalmazott informatika --- aplikacijski program --- lietišķā datorzinātne --- aplikovaná počítačová veda --- aplikovaná počítačová věda --- informatică aplicată --- przechowywanie i wyszukiwanie informacji --- складиштење и тражење података --- informática documental --- informatique documentaire --- informacijos laikymas ir paieška --- stóráil agus aisghabháil sonraí --- πληροφορική της τεκμηρίωσης --- електронско чување и пребарување податоци --- dokumentarisk datamatik --- dokumentbehandling --- informatie en documentatie --- informācijas uzkrāšana un izguve --- uchovanie a vyhľadávanie informácií --- документална информатика --- tiedon tallennus ja haku --- dokumentacijska obdelava podatkov --- obrada dokumentacijskih podataka --- stocarea și regăsirea informației --- dokumentarische Datenverarbeitung --- ukládání a vyhledávání informací --- informatikë dokumentimi --- számítógépes dokumentáció --- info salvestamine ja otsing --- informatica documentaria --- ħżin u aċċess għall-informazzjoni --- documentación informatizada --- documentazione informatizzata --- systém automatické dokumentace --- automatický dokumentační systém --- kompiuterizuotoji dokumentavimo sistema --- uchovávání informací --- datorizēta dokumentācijas sistēma --- računalno podržana dokumentacija --- documentación automatizada --- automatizirana dokumentacija --- computerised documentation system --- ukládání informací --- automatiserad dokumentbehandling --- automatická dokumentace --- selekce informací --- počítačová dokumentace --- arvutipõhine dokumenteerimissüsteem --- sistem i kompjuterizuar dokumentimi --- tietokoneistettu asiakirjajärjestelmä --- documentation automatisée --- documentação automatizada --- kompjutorizirana dokumentacija --- αυτοματοποίηση της τεκμηρίωσης --- rechnergestützte Dokumentation --- počítačový dokumentačný systém --- documentare informatizată --- automatisierte Dokumentation --- elektronická dokumentace --- ukládání a vyhledávání dat --- geautomatiseerde documentatie --- automatické zpracování informací --- vyhledávání informací --- tekst- en datamining --- prospección de texto y datos --- teksto ir duomenų gavyba --- tekstizrace un datizrace --- eksploracja tekstów i danych --- Text- und Data-Mining --- εξόρυξη κειμένων και δεδομένων --- szöveg- és adatbányászat --- mianadóireacht téacs agus sonraí --- estrazzjoni ta'test u ta'data --- автоматизиран анализ на текст и извличане на данни --- tekst- og dataudvinding --- besedilno in podatkovno rudarjenje --- extragere de text și de date --- estrazione di testo e di dati --- rudarenje teksta i podataka --- teksti- ja andmekaeve --- tekstin- ja tiedonlouhinta --- hĺbková analýza údajov --- prospeção de textos e dados --- exploration de textes et de données --- vytěžování textů a dat --- text- och datautvinning --- fouille de textes et de données --- estrazione di testo e dati --- dolování textů a dat --- data mining --- adatbányászat --- mineração de textos e dados --- tekst- og datamining --- Text- und Datenschürfen --- TDM --- estrazione di dati e di testo --- szövegbányászat --- text mining --- córas bainistíochta bunachar sonraí --- sistem upravljanja baze podatkov --- andmebaasihaldur --- system zarządzania bazą danych --- databasestyringssystem --- система за управление на база данни --- Datenbankverwaltungssystem --- sustav za upravljanje bazom podataka --- duomenų bazės valdymo sistema --- σύστημα διαχείρισης βάσης δεδομένων --- sistema ta’ mmaniġġjar ta’ bażi ta' data --- систем за управување бази на податоци --- sistema de gestão de base de dados --- систем управљања базом података --- tietokannan hallintajärjestelmä --- systém řízení báze dat --- adatbázis-kezelő rendszer --- managementul bazelor de date --- database management system --- datu bāzes pārvaldības sistēma --- sistema di gestione di base dati --- sistema de gestión de bases de datos --- systém správy databáz --- sistem menaxhimi i bazës së të dhënave --- databashanteringssystem --- système de gestion de base de données --- relációs adatbázis --- relationellt DBMS --- DBVS --- hierarchický DBMS --- DBMS --- ΣΔΒΔ --- hierarkiskt DBMS --- hierarkinen tietokanta --- DBPS --- hierarchinė duomenų bazės valdymo sistema --- relační SŘBD --- hierarhiline baasihaldur --- hiërarchisch DBMS --- hierarkisk DBMS --- objektově orientovaný SŘBD --- SŘBD --- sąryšinė duomenų bazės valdymo sistema --- SGBD jerárquico --- SGBD relationnel --- SGBD relacional --- relaatiotietokanta --- SGBD hiérarchique --- DBMS ndërvarësie --- relatsioonbaasihaldur --- relations-DBMS --- systém řízení databáze --- ιεραρχικό ΣΔΒΔ --- relationales DBMS --- beheerssysteem van gegevensbestanden --- relational DBMS --- hierarchical DBMS --- DBMS hierarkike --- SGBD --- managementul relațional al bazelor de date --- data base management system --- hierarchisches DBMS --- SGBD gerarchico --- SGBD relazionale --- управување бази на податоци --- hierarchický SŘBD --- relāciju datu bāzes pārvaldības sistēma --- hierarchikus adatbázis --- hierarhiska datu bāzes pārvaldības sistēma --- σχεσιακό ΣΔΒΔ --- relačný DBMS --- databashanterare --- managementul ierarhic al bazelor de date --- relationeel DBMS --- Computer science --- Database management --- Data mining --- Optical pattern recognition --- Geographic information systems. --- Informatique --- Bases de données --- Exploration de données (Informatique) --- Reconnaissance optique des formes (Informatique) --- Systèmes d'information --- Gestion --- Noms géographiques --- EPUB-LIV-FT LIVINFOR SPRINGER-B

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This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special emphasis is placed on various instructive examples of analyses, in which the need for and the use of visualisations are explained in detail. The book begins by introducing the main ideas and concepts of visual analytics and explaining why it should be considered an essential part of data science methodology and practices. It then describes the general principles underlying the visual analytics approaches, including those on appropriate visual representation, the use of interactive techniques, and classes of computational methods. It continues with discussing how to use visualisations for getting aware of data properties that need to be taken into account and for detecting possible data quality issues that may impair the analysis. The second part of the book describes visual analytics methods and workflows, organised by various data types including multidimensional data, data with spatial and temporal components, data describing binary relationships, texts, images and video. For each data type, the specific properties and issues are explained, the relevant analysis tasks are discussed, and appropriate methods and procedures are introduced. The focus here is not on the micro-level details of how the methods work, but on how the methods can be used and how they can be applied to data. The limitations of the methods are also discussed and possible pitfalls are identified. The textbook is intended for students in data science and, more generally, anyone doing or planning to do practical data analysis. It includes numerous examples demonstrating how visual analytics techniques are used and how they can help analysts to understand the properties of data, gain insights into the subject reflected in the data, and build good models that can be trusted. Based on several years of teaching related courses at the City, University of London, the University of Bonn and TU Munich, as well as industry training at the Fraunhofer Institute IAIS and numerous summer schools, the main content is complemented by sample datasets and detailed, illustrated descriptions of exercises to practice applying visual analytics methods and workflows.

Data mining. --- Artificial intelligence. --- Pattern recognition. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- 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 --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching

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This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special emphasis is placed on various instructive examples of analyses, in which the need for and the use of visualisations are explained in detail. The book begins by introducing the main ideas and concepts of visual analytics and explaining why it should be considered an essential part of data science methodology and practices. It then describes the general principles underlying the visual analytics approaches, including those on appropriate visual representation, the use of interactive techniques, and classes of computational methods. It continues with discussing how to use visualisations for getting aware of data properties that need to be taken into account and for detecting possible data quality issues that may impair the analysis. The second part of the book describes visual analytics methods and workflows, organised by various data types including multidimensional data, data with spatial and temporal components, data describing binary relationships, texts, images and video. For each data type, the specific properties and issues are explained, the relevant analysis tasks are discussed, and appropriate methods and procedures are introduced. The focus here is not on the micro-level details of how the methods work, but on how the methods can be used and how they can be applied to data. The limitations of the methods are also discussed and possible pitfalls are identified. The textbook is intended for students in data science and, more generally, anyone doing or planning to do practical data analysis. It includes numerous examples demonstrating how visual analytics techniques are used and how they can help analysts to understand the properties of data, gain insights into the subject reflected in the data, and build good models that can be trusted. Based on several years of teaching related courses at the City, University of London, the University of Bonn and TU Munich, as well as industry training at the Fraunhofer Institute IAIS and numerous summer schools, the main content is complemented by sample datasets and detailed, illustrated descriptions of exercises to practice applying visual analytics methods and workflows.

Mathematical statistics --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- patroonherkenning --- factoranalyse --- KI (kunstmatige intelligentie) --- data acquisition