Visual And Spatial Analysis
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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.
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.
Visual Spatial Ability In Stem Education
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Author : Myint Swe Khine
language : en
Publisher: Springer
Release Date : 2016-10-13
Visual Spatial Ability In Stem Education written by Myint Swe Khine and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-13 with Education categories.
Each chapter in this book makes a unique contribution to the body of the literature and enhances the understanding of spatial ability and its influence on learning in the STEM disciplines. It addresses spatial abilities, ways to measure them as well as their impact and how they can affect learning subjects in scientific, technology and engineering domains. The volume deliberately covers a wide range perspectives from cognitive psychology, educational psychology, science, technology, engineering and mathematics, computer science, information technology disciplines to human development. Taking a broad view on the topic, chapters in the book discuss how to define spatial ability and its factors, the measurement of spatial ability and psychometric analyses, and educational strategies to improve spatial skills and their implications for science and technology education. The book thus provides an overview of current thinking about visual-spatial ability, spatial reasoning, and spatial skills.
Spatial Analysis And Gis
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Author : S Fotheringham
language : en
Publisher: CRC Press
Release Date : 2013-04-08
Spatial Analysis And Gis written by S Fotheringham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-08 with Technology & Engineering categories.
Geographic information systems represent an exciting and rapidly expanding technology via which spatial data may be captured, stored, retrieved, displayed, manipulated and analysed. Applications of this technology include detailed inventories of land use parcels. Spatial patterns of disease, geodemographics, environmental management and macroscale inventories of global resources. The impetus for this book is the relative lack of research into the integration of spatial analysis and GIS, and the potential benefits in developing such an integration. From a GIS perspective, there is an increasing demand for systems that do something other than display and organize data. From a spatial analytical perspective, there are advantages to linking statistical methods and mathematical models to the database and display capabilities of a GIS. Although the GIS may not be absolutely necessary for spatial analysis, it can facilitate such an analysis and moreover provide insights that might otherwise have been missed. The contributions to the book tell us where we are and where we ought to be going. It suggests that the integration of spatial analysis and GIS will stimulate interest in quantitative spatial science, particularly exploratory and visual types of analysis and represents a unique statement of the state-of-the-art issues in integration and interface.
Spatial Analysis
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Author : Paul A. Longley
language : en
Publisher: John Wiley & Sons
Release Date : 1997-04-17
Spatial Analysis written by Paul A. Longley and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-17 with Technology & Engineering categories.
Spatial Analysis: Modelling in a GIS Environment Edited by PaulLongley and Michael Batty Digital data and information are usedincreasingly by academics, professionals, local authorities, andgovernment departments. Powerful new technologies, such asgeographic information systems (GIS), are being developed toanalyse such data, and GIS technologies are rapidly becoming partof the emergent world digital infrastructure. This book shows howcomputer methods of analysis and modelling, built around GIS, canbe used to identify ways in which our cities and regions might bebetter planned and understood. The contributors to this book areall actively involved in research using geographic informationsystems. This book will be valuable reading for: * Geographers, researchers, and regional analysts * Population theorists and regional economists with interests inlarge-scale demographic and employment data * Planners and policy-makers who wish to use GIS to improve theirdecision making * Business analysts who wish to explore markets using the mostrecent advances in digital spatial data technology * All those interested in geodemographics Paul Longley is Professor of Geography at the Department ofGeography, University of Bristol, United Kingdom. Michael Batty isProfessor of Spatial Analysis and Planning at the UniversityCollege London. United Kingdom.
Advanced Spatial Analysis
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Author : Paul Longley
language : en
Publisher: ESRI, Inc.
Release Date : 2003
Advanced Spatial Analysis written by Paul Longley and has been published by ESRI, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.
Advanced work on GIS applications in such fields as urban planning, transportation, and economic development
Spatial Statistics Illustrated
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Author : Lauren Bennett
language : en
Publisher: ESRI Press
Release Date : 2023-09-05
Spatial Statistics Illustrated written by Lauren Bennett and has been published by ESRI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with categories.
Visual Spatial Enquiry
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Author : Robyn Creagh
language : en
Publisher: Routledge
Release Date : 2018-12-07
Visual Spatial Enquiry written by Robyn Creagh and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Architecture categories.
Visual Spatial Enquiry explores visual and textual ways of working within spatial research. Architects and spatial thinkers from the arts, social sciences and humanities present rich case studies from remote and regional settings in Australia to the suburbs of Los Angeles, and from gallery and university settings to community collaborations in Mongolia. Through these case studies the authors reappraise and reconsider research approaches, methods and processes within and across their fields. In spatial research diagramming can be used as a method to synthesise complex concepts into a succinct picture, whereas metaphors can add the richness of lived experiences. Drawing on the editors’ own architectural backgrounds, this volume is organised into three key themes: seeing, doing and making space. In seeing space chapters consider observational research enquiries where developing empathy for the context and topic is as important as gathering concrete data. Doing space explores generative opportunities that inform new and innovative propositions, and making space looks at ways to rethink and reshape spatial and relational settings. Through this volume Creagh and McGann invite readers to find their own understandings of the value and practices of neighbouring fields including planning, geography, ethnography, architecture and art. This exploration will be of value to researchers looking to develop their cross-disciplinary literacy, and to design practitioners looking to enhance and articulate their research skills.
Geospatial Data Information And Intelligence Principles And Application
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Author : Renny Babiarz
language : en
Publisher:
Release Date : 2023-05-31
Geospatial Data Information And Intelligence Principles And Application written by Renny Babiarz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with categories.
An original framework for interpreting geospatial data and information: the Observe, Analyze, Communicate (OAC) Framework. With a two-level approach to analyzing geospatial data: both a broad information refinement method that transforms geospatial data into information, and more specific tradecraft techniques for both visual and spatial analysis. The book highlights the importance of location for human experience in the everyday world and introduces spatial thinking as a foundation and the location mindset as an approach. Exploring the outsized importance of accurate visual learning in a world in which we are increasingly inundated with visual information and shows how the human eye can be both our most powerful sensor as well as a source of bias and uncertainty. It presents the emergence of digital geospatial data, information, and analysis, and shows how the pairing of visual information with precise locational information anchors human attention and provides an antidote to disorientation. This book is a practical resource for students and practitioners alike. It serves as a textbook for classroom beginners and as a desktop reference for professionals in their day-to-day geospatial efforts.
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).