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The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+ Context Visualization for Tabular Information
HumanFac(orsinComputingSystems CHI’94 0 “Celebra/i//ghrferdepende)~cc” The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+ Context Visualization for Tabular Information Ramana Rao and Stuart K. Card Xerox Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, CA 94304 Gao,carcM@parc. xerox.com ABSTRACT (at cell size of 100 by 15 pixels, 82dpi). The Table Lens can We present a new visualization, called the Table Lens, for comfortably manage about 30 times as many cells and can visualizing and making sense of large tables. The visual- display up to 100 times as many cells in support of many ization uses a focus+ccmtext (fisheye) technique that works tasks. The scale advantage is obtained by using a so-called effectively on tabular information because it allows display “focus+context” or “fisheye” technique. These techniques of crucial label information and multiple distal focal areas. allow interaction with large information structures by dynam- In addition, a graphical mapping scheme for depicting table ically distorting the spatial layout of the structure according to contents has been developed for the most widespread kind the varying interest levels of its parts. The design of the Table of tables, the cases-by-variables table. The Table Lens fuses Lens technique has been guided by the particular properties symbolic and gaphical representations into a single coherent and uses of tables. view that can be fluidly adjusted by the user. This fusion and A second contribution of our work is the merging of graphical interactivity enables an extremely rich and natural style of representations directly into the process of table visualization direct manipulation exploratory data analysis. -
DESIGN Principles & Practices: an International Journal
DESIGN Principles & Practices: An International Journal Volume 3, Number 1 A Computational Investigation into the Fractal Dimensions of the Architecture of Kazuyo Sejima Michael J. Ostwald, Josephine Vaughan and Stephan K. Chalup www.design-journal.com DESIGN PRINCIPLES AND PRACTICES: AN INTERNATIONAL JOURNAL http://www.Design-Journal.com First published in 2009 in Melbourne, Australia by Common Ground Publishing Pty Ltd www.CommonGroundPublishing.com. © 2009 (individual papers), the author(s) © 2009 (selection and editorial matter) Common Ground Authors are responsible for the accuracy of citations, quotations, diagrams, tables and maps. All rights reserved. Apart from fair use for the purposes of study, research, criticism or review as permitted under the Copyright Act (Australia), no part of this work may be reproduced without written permission from the publisher. For permissions and other inquiries, please contact <[email protected]>. ISSN: 1833-1874 Publisher Site: http://www.Design-Journal.com DESIGN PRINCIPLES AND PRACTICES: AN INTERNATIONAL JOURNAL is peer- reviewed, supported by rigorous processes of criterion-referenced article ranking and qualitative commentary, ensuring that only intellectual work of the greatest substance and highest significance is published. Typeset in Common Ground Markup Language using CGCreator multichannel typesetting system http://www.commongroundpublishing.com/software/ A Computational Investigation into the Fractal Dimensions of the Architecture of Kazuyo Sejima Michael J. Ostwald, The University of Newcastle, NSW, Australia Josephine Vaughan, The University of Newcastle, NSW, Australia Stephan K. Chalup, The University of Newcastle, NSW, Australia Abstract: In the late 1980’s and early 1990’s a range of approaches to using fractal geometry for the design and analysis of the built environment were developed. -
Digital Mapping & Spatial Analysis
Digital Mapping & Spatial Analysis Zach Silvia Graduate Community of Learning Rachel Starry April 17, 2018 Andrew Tharler Workshop Agenda 1. Visualizing Spatial Data (Andrew) 2. Storytelling with Maps (Rachel) 3. Archaeological Application of GIS (Zach) CARTO ● Map, Interact, Analyze ● Example 1: Bryn Mawr dining options ● Example 2: Carpenter Carrel Project ● Example 3: Terracotta Altars from Morgantina Leaflet: A JavaScript Library http://leafletjs.com Storytelling with maps #1: OdysseyJS (CartoDB) Platform Germany’s way through the World Cup 2014 Tutorial Storytelling with maps #2: Story Maps (ArcGIS) Platform Indiana Limestone (example 1) Ancient Wonders (example 2) Mapping Spatial Data with ArcGIS - Mapping in GIS Basics - Archaeological Applications - Topographic Applications Mapping Spatial Data with ArcGIS What is GIS - Geographic Information System? A geographic information system (GIS) is a framework for gathering, managing, and analyzing data. Rooted in the science of geography, GIS integrates many types of data. It analyzes spatial location and organizes layers of information into visualizations using maps and 3D scenes. With this unique capability, GIS reveals deeper insights into spatial data, such as patterns, relationships, and situations - helping users make smarter decisions. - ESRI GIS dictionary. - ArcGIS by ESRI - industry standard, expensive, intuitive functionality, PC - Q-GIS - open source, industry standard, less than intuitive, Mac and PC - GRASS - developed by the US military, open source - AutoDESK - counterpart to AutoCAD for topography Types of Spatial Data in ArcGIS: Basics Every feature on the planet has its own unique latitude and longitude coordinates: Houses, trees, streets, archaeological finds, you! How do we collect this information? - Remote Sensing: Aerial photography, satellite imaging, LIDAR - On-site Observation: total station data, ground penetrating radar, GPS Types of Spatial Data in ArcGIS: Basics Raster vs. -
Army Acquisition Workforce Dependency on E-Mail for Formal
ARMY ACQUISITION WORKFORCE DEPENDENCY ON E-MAIL FOR FORMAL WORK COORDINATION: FINDINGS AND OPPORTUNITIES FOR WORKFORCE PERFORMANCE IMPROVEMENT THROUGH E-MAIL-BASED SOCIAL NETWORK ANALYSIS KENNETH A. LORENTZEN May 2013 PUBLISHED BY THE DEFENSE ACQUISITION UNIVERSITY PRESS PROJECT ADVISOR: BOB SKERTIC CAPITAL AND NORTHEAST REGION, DAU THE SENIOR SERVICE COLLEGE FELLOWSHIP PROGRAM ABERDEEN PROVING GROUND, MD PAGE LEFT BLANK INTENTIONALLY .ARMY ACQUISITION WORKFORCE DEPENDENCY ON E-MAIL FOR FORMAL WORK COORDINATION: FINDINGS AND OPPORTUNITIES FOR WORKFORCE PERFORMANCE IMPROVEMENT THROUGH E-MAIL-BASED SOCIAL NETWORK ANALYSIS KENNETH A. LORENTZEN May 2013 PUBLISHED BY THE DEFENSE ACQUISITION UNIVERSITY PRESS PROJECT ADVISOR: BOB SKERTIC CAPITAL AND NORTHEAST REGION, DAU THE SENIOR SERVICE COLLEGE FELLOWSHIP PROGRAM ABERDEEN PROVING GROUND, MD PAGE LEFT BLANK INTENTIONALLY ii Table of Contents Table of Contents ............................................................................................................................ ii List of Figures ................................................................................................................................ vi Abstract ......................................................................................................................................... vii Chapter 1—Introduction ................................................................................................................. 1 Background and Motivation ................................................................................................. -
Geotime As an Adjunct Analysis Tool for Social Media Threat Analysis and Investigations for the Boston Police Department Offeror: Uncharted Software Inc
GeoTime as an Adjunct Analysis Tool for Social Media Threat Analysis and Investigations for the Boston Police Department Offeror: Uncharted Software Inc. 2 Berkeley St, Suite 600 Toronto ON M5A 4J5 Canada Business Type: Canadian Small Business Jurisdiction: Federally incorporated in Canada Date of Incorporation: October 8, 2001 Federal Tax Identification Number: 98-0691013 ATTN: Jenny Prosser, Contract Manager, [email protected] Subject: Acquiring Technology and Services of Social Media Threats for the Boston Police Department Uncharted Software Inc. (formerly Oculus Info Inc.) respectfully submits the following response to the Technology and Services of Social Media Threats RFP. Uncharted accepts all conditions and requirements contained in the RFP. Uncharted designs, develops and deploys innovative visual analytics systems and products for analysis and decision-making in complex information environments. Please direct any questions about this response to our point of contact for this response, Adeel Khamisa at 416-203-3003 x250 or [email protected]. Sincerely, Adeel Khamisa Law Enforcement Industry Manager, GeoTime® Uncharted Software Inc. [email protected] 416-203-3003 x250 416-708-6677 Company Proprietary Notice: This proposal includes data that shall not be disclosed outside the Government and shall not be duplicated, used, or disclosed – in whole or in part – for any purpose other than to evaluate this proposal. If, however, a contract is awarded to this offeror as a result of – or in connection with – the submission of this data, the Government shall have the right to duplicate, use, or disclose the data to the extent provided in the resulting contract. GeoTime as an Adjunct Analysis Tool for Social Media Threat Analysis and Investigations 1. -
Techniques for Spatial Analysis and Visualization of Benthic Mapping Data: Final Report
Techniques for spatial analysis and visualization of benthic mapping data: final report Item Type monograph Authors Andrews, Brian Publisher NOAA/National Ocean Service/Coastal Services Center Download date 29/09/2021 07:34:54 Link to Item http://hdl.handle.net/1834/20024 TECHNIQUES FOR SPATIAL ANALYSIS AND VISUALIZATION OF BENTHIC MAPPING DATA FINAL REPORT April 2003 SAIC Report No. 623 Prepared for: NOAA Coastal Services Center 2234 South Hobson Avenue Charleston SC 29405-2413 Prepared by: Brian Andrews Science Applications International Corporation 221 Third Street Newport, RI 02840 TABLE OF CONTENTS Page 1.0 INTRODUCTION..........................................................................................1 1.1 Benthic Mapping Applications..........................................................................1 1.2 Remote Sensing Platforms for Benthic Habitat Mapping ..........................................2 2.0 SPATIAL DATA MODELS AND GIS CONCEPTS ................................................3 2.1 Vector Data Model .......................................................................................3 2.2 Raster Data Model........................................................................................3 3.0 CONSIDERATIONS FOR EFFECTIVE BENTHIC HABITAT ANALYSIS AND VISUALIZATION .........................................................................................4 3.1 Spatial Scale ...............................................................................................4 3.2 Habitat Scale...............................................................................................4 -
Inviwo — a Visualization System with Usage Abstraction Levels
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL X, NO. Y, MAY 2019 1 Inviwo — A Visualization System with Usage Abstraction Levels Daniel Jonsson,¨ Peter Steneteg, Erik Sunden,´ Rickard Englund, Sathish Kottravel, Martin Falk, Member, IEEE, Anders Ynnerman, Ingrid Hotz, and Timo Ropinski Member, IEEE, Abstract—The complexity of today’s visualization applications demands specific visualization systems tailored for the development of these applications. Frequently, such systems utilize levels of abstraction to improve the application development process, for instance by providing a data flow network editor. Unfortunately, these abstractions result in several issues, which need to be circumvented through an abstraction-centered system design. Often, a high level of abstraction hides low level details, which makes it difficult to directly access the underlying computing platform, which would be important to achieve an optimal performance. Therefore, we propose a layer structure developed for modern and sustainable visualization systems allowing developers to interact with all contained abstraction levels. We refer to this interaction capabilities as usage abstraction levels, since we target application developers with various levels of experience. We formulate the requirements for such a system, derive the desired architecture, and present how the concepts have been exemplary realized within the Inviwo visualization system. Furthermore, we address several specific challenges that arise during the realization of such a layered architecture, such as communication between different computing platforms, performance centered encapsulation, as well as layer-independent development by supporting cross layer documentation and debugging capabilities. Index Terms—Visualization systems, data visualization, visual analytics, data analysis, computer graphics, image processing. F 1 INTRODUCTION The field of visualization is maturing, and a shift can be employing different layers of abstraction. -
Business Analyst: Using Your Own Data with Enrichment & Infographics
Business Analyst: Using Your Own Data with Enrichment & Infographics Steven Boyd Daniel Stauning Tony Howser Wednesday, July 11, 2018 2:30 PM – 3:15 PM • Business Analysis solution built on ArcGIS ArcGIS Business • Connected Apps, Tools, Reports & Data Analyst • Workflows to solve business problems Sites Customers Markets ArcGIS Business Analyst Web App Mobile App Desktop/Pro App …powered by ArcGIS Enterprise / ArcGIS Online “Custom” Data in Business Analyst • Your organization’s own data • Third-party data • Any data that you want to use alongside Esri’s data in mapping, reporting, Infographics, and more “Custom” Data in Business Analyst • Your organization’s own data • Third-party data • Any data that you want to use alongside Esri’s data in mapping, reporting, Infographics, and more “Custom” Data in Business Analyst • Your organization’s own data • Third-party data • Any data that you want to use alongside Esri’s data in mapping, reporting, Infographics, and more “Custom”“Custom” Data Data in Business Analyst in Business Analyst • Your organization’s own data • Your• Third organization’s-party data own data• Data that you want to use alongside Esri’s data in mapping, reporting, Infographics, and more • Third-party data • Any data that you want to use alongside Esri’s data in mapping, reporting, Infographics, and more Custom Data in Apps, Reports, and Infographics Daniel Stauning Steven Boyd Please Take Our Survey on the App Download the Esri Events Select the session Scroll down to find the Complete answers app and find your event you attended feedback section and select “Submit” See Us Here WORKSHOP LOCATION TIME FRAME ArcGIS Business Analyst: Wednesday, July 11 SDCC – Room 30E An Introduction (2nd offering) 4:00 PM – 5:00 PM Esri's US Demographics: Thursday, July 12 SDCC – Room 8 What's New 2:30 PM – 3:30 PM Chat with members of the Business Analyst team at the Spatial Analysis Island at the UC Expo . -
11.205 : Intro to Spatial Analysis
11.205 : INTRO TO SPATIAL ANALYSIS INSTRUCTOR : SARAH WILLIAMS ([email protected]) LAB INSTRUCTORS : Melissa Yvonne Chinchilla ([email protected] ), Mike Foster ([email protected]), Michael Thomas Wilson ([email protected]) TEACHING ASSISTANTS: Elizabeth Joanna Irvin ([email protected])& Halley Brunsteter Reeves ([email protected]) LECTURE : Monday and Wednesday 2:30- 4pm, Room 9-354 LABS : (All in Room W31-301) Monday, Tuesday, Wednesday, Thursdays 5-7pm – To Be Assigned Class Description: Geographic Information Systems (GIS) are tools for managing data about where features are (geographic coordinate data) and what they are like (attribute data), and for providing the ability to query, manipulate, and analyze those data. Because GIS allows one to represent social and environmental data as a map, it has become an important analysis tool used across a variety of fields including: planning, architecture, engineering, public health, environmental science, economics, epidemiology, and business. GIS has become an important political instrument allowing communities and regions to graphically tell their story. GIS is a powerful tool, and this course is meant to introduce students to the basics. Because GIS can be applied to many research fields, this class is meant to give you an understanding of its possibilities. Learning Through Practice: The class will focus on teaching through practical example. All the course exercises will focus on a relationship with the Bronx River Alliance, a local advocacy group for the Bronx River. Exercises will focus on the Bronx River Alliance’s real-world needs, in order to give students a better understanding of how GIS is applied to planning situations. -
Modeling Fractal Structure of Systems of Cities Using Spatial Correlation Function
Modeling Fractal Structure of Systems of Cities Using Spatial Correlation Function Yanguang Chen1, Shiguo Jiang2 (1. Department of Geography, Peking University, Beijing 100871, PRC. E-mail: [email protected]; 2. Department of Geography, The Ohio State University, USA. Email: [email protected].) Abstract: This paper proposes a new method to analyze the spatial structure of urban systems using ideas from fractals. Regarding a system of cities as a set of “particles” distributed randomly on a triangular lattice, we construct a spatial correlation function of cities. Suppose that the spatial correlation follows the power law. It can be proved that the correlation exponent is the second order generalized dimension. The spatial correlation model is applied to the system of cities in China. The results show that the Chinese urban system can be described by the correlation dimension ranging from 1.3 to 1.6. The fractality of self-organized network of cities in both the conventional geographic space and the “time” space is revealed with the empirical evidence. The spatial correlation analysis is significant in that it is applicable to both large and small sizes of samples and can be used to link different fractal dimensions in urban study, including box dimension and radial dimension. 1 Introduction The evolution of cities as systems and systems of cities bears some similarity. In theory, a system of cites follows the same spatial scaling laws with a city as a system. The great majority of fractal models and methods for urban form and structure are in fact available for systems of cities. -
Avian Flu Case Study with Nspace and Geotime
Avian Flu Case Study with nSpace and GeoTime Pascale Proulx, Sumeet Tandon, Adam Bodnar, David Schroh, Robert Harper, and William Wright* Oculus Info Inc. ABSTRACT 1.1 nSpace - A Unified Analytical Workspace GeoTime and nSpace are new analysis tools that provide nSpace combines several interactive visualization techniques to innovative visual analytic capabilities. This paper uses an create a unified workspace that supports the analytic process. One epidemiology analysis scenario to illustrate and discuss these new technique, called TRIST (The Rapid Information Scanning Tool), investigative methods and techniques. In addition, this case study uses multiple linked views to support rapid and efficient scanning is an exploration and demonstration of the analytical synergy and triaging of thousands of search results in one display. The achieved by combining GeoTime’s geo-temporal analysis other technique, called the Sandbox, supports both ad-hoc and capabilities, with the rapid information triage, scanning and sense- formal sense making within a flexible free thinking environment. making provided by nSpace. Additionally, nSpace makes use of multiple advanced A fictional analyst works through the scenario from the initial computational linguistic functions using a web services interface brainstorming through to a final collaboration and report. With the and protocol [6, 3]. efficient knowledge acquisition and insights into large amounts of documents, there is more time for the analyst to reason about the 1.1.1 TRIST problem and imagine ways to mitigate threats. The use of both nSpace and GeoTime initiated a synergistic exchange of ideas, where hypotheses generated in either software tool could be cross- TRIST, as seen in Figure 1, uses advanced information retrieval referenced, refuted, and supported by the other tool. -
The Language of Spatial ANALYSIS CONTENTS
The Language of spatial ANALYSIS CONTENTS Foreword How to use this book Chapter 1 An introduction to spatial analysis Chapter 2 The vocabulary of spatial analysis Understanding where Measuring size, shape, and distribution Determining how places are related Finding the best locations and paths Detecting and quantifying patterns Making predictions Chapter 3 The seven steps to successful spatial analysis Chapter 4 The benefits of spatial analysis Case study Bringing it all together to solve the problem Reference A quick guide to spatial analysis Additional resources FOREWORD Watching the GIS industry grow for more than 25 years, I have seen innovation in the problems we solve, the people we can reach through technology, the stories we tell, and the decisions that help make our organizations and the world more successful. However, what has not changed is our longstanding goal to better understand our world through spatial analysis. Traveling the world I have met people from many diverse cultures who work in a wide range of industries. However, as I listen to their mission and challenges, there is a common pattern: we all speak the same language—it is the language of spatial analysis. This language consists of a core set of questions that we ask, a taxonomy that organizes and expands our understanding, and the fundamental steps to spatial analysis that embody how we solve spatial problems. I encourage each of you to learn and communicate to the world the power of spatial analysis. Learn the definition, learn the vocabulary and the process, and most important, be able to speak this language to the world.