Geospatial Visual Analytics
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Geospatial Visual Analytics
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Author : Raffaele de Amicis
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-11
Geospatial Visual Analytics written by Raffaele de Amicis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-11 with Science categories.
Access, distribution and processing of Geographic Information (GI) are basic preconditions to support strategic environmental decision-making. The heterogeneity of information on the environment today available is driving a wide number of initiatives, on both sides of the Atlantic, all advocating both the strategic role of proper management and processing of environme- related data as well as the importance of harmonized IT infrastructures designed to better monitor and manage the environment. The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists to find extremely sophisticated yet effective ways to provide access to relevant data patterns within such a vast and highly dynamic information flow. In the past years the domain of 3D scientific visualization has developed several solutions designed for operators requiring to access results of a simulation through the use of 3D visualization that could support the understanding of an evolving phenomenon. However 3D data visualization alone does not provide model and hypothesis-making neither it provide tools to validate results. In order overcome this shortcoming, in recent years scientists have developed a discipline that combines the benefits of data mining and information visualization, which is often referred to as Visual Analytics (VA).
Visual And Spatial Analysis
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Author : Boris Kovalerchuk
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-06
Visual And Spatial Analysis written by Boris Kovalerchuk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-06 with Computers categories.
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.
Innovative Approaches Of Data Visualization And Visual Analytics
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Author : Huang, Mao Lin
language : en
Publisher: IGI Global
Release Date : 2013-07-31
Innovative Approaches Of Data Visualization And Visual Analytics written by Huang, Mao Lin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-31 with Computers categories.
Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems. Innovative Approaches of Data Visualization and Visual Analytics evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and network topologies. This book will assist professionals and researchers working in the fields of data analysis and information science, as well as students in computer science and computer engineering, in developing increasingly effective methods of knowledge creation, management, and preservation.
An Introduction To Sas Visual Analytics
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Author : Tricia Aanderud
language : en
Publisher: SAS Institute
Release Date : 2017-03-21
An Introduction To Sas Visual Analytics written by Tricia Aanderud and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-21 with Computers categories.
Focusing on the version of SAS Visual Analytics on SAS 9.4, this thorough guide will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code ¿̐ư unless you want to. --
Cartography
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Author : Menno-Jan Kraak
language : en
Publisher: CRC Press
Release Date : 2020-07-28
Cartography written by Menno-Jan Kraak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-28 with Science categories.
This Fourth Edition of Cartography: Visualization of Geospatial Data serves as an excellent introduction to general cartographic principles. It is an examination of the best ways to optimize the visualization and use of spatiotemporal data. Fully revised, it incorporates all the changes and new developments in the world of maps, such as OpenStreetMap and GPS (Global Positioning System) based crowdsourcing, and the use of new web mapping technology and adds new case studies and examples. Now printed in colour throughout, this edition provides students with the knowledge and skills needed to read and understand maps and mapping changes and offers professional cartographers an updated reference with the latest developments in cartography. Written by the leading scholars in cartography, this work is a comprehensive resource, perfect for senior undergraduate and graduate students taking courses in GIS (geographic information system) and cartography. New in This Edition: Provides an excellent introduction to general cartographic visualization principles through full-colour figures and images Addresses significant changes in data sources, technologies and methodologies, including the movement towards more open data sources and systems for mapping Includes new case studies and new examples for illustrating current trends in mapping Provides a societal and institutional framework in which future mapmakers are likely to operate, based on UN global development sustainability goals
Geospatial Intelligence
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Author : Robert M. Clark
language : en
Publisher: Georgetown University Press
Release Date : 2020-09-01
Geospatial Intelligence written by Robert M. Clark and has been published by Georgetown University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Political Science categories.
Geospatial Intelligence: Origins and Evolution tells the story of how the current age of geospatial knowledge evolved from its ancient origins to become ubiquitous in daily life across the globe, weaving a tapestry of stories about the people, events, ideas, and technologies that affected the trajectory of what has become known as GEOINT.
Geospatial Visualisation
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Author : Antoni Moore
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-02
Geospatial Visualisation written by Antoni Moore and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-02 with Science categories.
This book is a selection of chapters evolved from papers on completed research submitted to GeoCart’2010 / the 1st ICA Regional Symposium on Cartography for Australasia and Oceania, held in Auckland, New Zealand, 1st -3rd September 2010. All of the chapters have been updated and revised thoroughly. They have been blind peer reviewed by two referees of international research standing in geospatial science, mostly in the subdisciplines of cartography and geovisualisation. The book features cutting edge topics such geovisual analytics, mobile / Web 2.0 mapping, spatiotemporal representation, cognitive cartography, historical mapping and 3D technology.
Geospatial Visual Analytics
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Author : Gennady Andrienko
language : en
Publisher:
Release Date : 2009
Geospatial Visual Analytics written by Gennady Andrienko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Visual Analytics For Data Scientists
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Author : Natalia Andrienko
language : en
Publisher: Springer
Release Date : 2021-08-31
Visual Analytics For Data Scientists written by Natalia Andrienko and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Computers categories.
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.
Visual Data Mining
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Author : Simeon Simoff
language : en
Publisher: Springer
Release Date : 2008-07-23
Visual Data Mining written by Simeon Simoff and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-23 with Computers categories.
Visual Data Mining—Opening the Black Box Knowledge discovery holds the promise of insight into large, otherwise opaque datasets. Thenatureofwhatmakesaruleinterestingtoauserhasbeendiscussed 1 widely but most agree that it is a subjective quality based on the practical u- fulness of the information. Being subjective, the user needs to provide feedback to the system and, as is the case for all systems, the sooner the feedback is given the quicker it can in?uence the behavior of the system. There have been some impressive research activities over the past few years but the question to be asked is why is visual data mining only now being - vestigated commercially? Certainly, there have been arguments for visual data 2 mining for a number of years – Ankerst and others argued in 2002 that current (autonomous and opaque) analysis techniques are ine?cient, as they fail to - rectly embed the user in dataset exploration and that a better solution involves the user and algorithm being more tightly coupled. Grinstein stated that the “current state of the art data mining tools are automated, but the perfect data mining tool is interactive and highly participatory,” while Han has suggested that the “data selection and viewing of mining results should be fully inter- tive, the mining process should be more interactive than the current state of the 2 art and embedded applications should be fairly automated . ” A good survey on 3 techniques until 2003 was published by de Oliveira and Levkowitz .