Lesson 4 (Student Book Pages 27–34) Analyzing Interactions in a Text
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Origins of the Underline As Visual Representation of the Hyperlink on the Web: a Case Study in Skeuomorphism
The Origins of the Underline as Visual Representation of the Hyperlink on the Web: A Case Study in Skeuomorphism The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Romano, John J. 2016. The Origins of the Underline as Visual Representation of the Hyperlink on the Web: A Case Study in Skeuomorphism. Master's thesis, Harvard Extension School. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:33797379 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA The Origins of the Underline as Visual Representation of the Hyperlink on the Web: A Case Study in Skeuomorphism John J Romano A Thesis in the Field of Visual Arts for the Degree of Master of Liberal Arts in Extension Studies Harvard University November 2016 Abstract This thesis investigates the process by which the underline came to be used as the default signifier of hyperlinks on the World Wide Web. Created in 1990 by Tim Berners- Lee, the web quickly became the most used hypertext system in the world, and most browsers default to indicating hyperlinks with an underline. To answer the question of why the underline was chosen over competing demarcation techniques, the thesis applies the methods of history of technology and sociology of technology. Before the invention of the web, the underline–also known as the vinculum–was used in many contexts in writing systems; collecting entities together to form a whole and ascribing additional meaning to the content. -
Information Visualization Lecture 5
Information Visualization Lecture 5 IVIS15 Skylike (link to project, link to video) Mario Romero 2016/02/02 Proposal for Skylike IVIS15 Skylike proposal on Feb 13, 2015: “make night sky constellations from your network of friends.” 2016-02-02 IVIS16 L5 2 Feedback to Proposal: link to presentation PDF Diana, Andrés, Willie, Tomáš, Johanna: Your proposal is ambitious in some aspects and unclear in others. It is ambitious in its plan to compute constellations from network graphs. What is a constellation mathematically? You will need graph theory, a sophisticated data transformation. How many stars and links for a typical constellation? Why? Are there families of constellations? How do you represent the constellations within the network? What are the view transformations? How do you provide overview, zooming, filtering, details on demand? You need to focus. Who is your user? What are the tasks? Where do you get your raw data? You need refine your ideas. Using the 4K screen with the kinect may work. 2016-02-02 IVIS16 L5 3 Skylikes feedback to ”Hello World” Demo Diana, Andrés, Willie, Tomáš, Johanna: Your choice of focusing on Goodreads is wise. Your Hello World demo worked very well and it gave your classmates a concrete opportunity to provide actionable feedback. Good work. Your challenge remains the graph theory to compute reasonable constellations in the number of stars and edges and their location. For example, should you strive for planar graphs? How many nodes and edges? Where do you place the cut off? Also, you have to think about your query system and the permanence of the constellations across users, sessions, and networks of friends. -
Unreasonable Expectations: an Examination of the Semantic Web
Unreasonable Expectations: An Examination of the Semantic Web in the Light of the Original Vision for the Project Dónal Deery A research paper submitted to the University of Dublin, in partial fulfillment of the requirements for the degree of Master of Science Interactive Digital Media 2014 Declaration I declare that the work described in this research paper is, except where otherwise stated, entirely my own work and has not been submitted as an exercise for a degree at this or any other university. Signed: ___________________ Dónal Deery 28th February 2014 Permission to lend and/or copy I agree that Trinity College Library may lend or copy this research Paper upon request. Signed: ___________________ Dónal Deery 28th February 2014 Acknowledgements I would like to thank my supervisor Rachel O’Dwyer for her advice, patience, and grammatical assistance during the preparation of this paper. I would also like to thank my parents for their continuing support and positivity. Summary This paper is concerned with the relationship between the Semantic Web as it was originally envisioned and the present status of the endeavour. The Semantic Web is an enhanced version of the existing World Wide Web in which data that can be processed by computers is added to web pages in order to make it easier for users to locate and exchange information. It was proposed by Sir Tim Berners-Lee, the invention of the original Web. The paper begins with a consideration of the original vision for the Semantic Web outlined by Berners-Lee and others around the turn of the millennium. -
Current Strategies for Reducing Recidivism
CURRENT STRATEGIES FOR REDUCING RECIDIVISM LISE MCKEAN, PH.D. CHARLES RANSFORD CENTER FOR IMPACT RESEARCH AUGUST 2004 ACKNOWLEDGEMENTS PROJECT FUNDER Chicago Community Organizing Capacity Building Initiative PROJECT PARTNERS Developing Justice Coalition Coalition Members ACORN Ambassadors for Christ Church Brighton Park Neighborhood Council Chicago Coalition for the Homeless Community Renewal Society Developing Communities Project Foster Park Neighborhood Council Garfield Area Partnership Global Outreach Ministries Inner-City Muslim Action Network Northwest Neighborhood Federation Organization of the North East Protestants for the Common Good SERV-US Southwest Organizing Project Target Area Development Corp. West Side Health Authority Center for Impact Research Project Staff Lise McKean, Ph.D., Project Director Charles Ransford 2 TABLE OF CONTENTS EXECUTIVE SUMMARY……………………………………………… 4 INTRODUCTION …………………………...……………………….. 8 STUDY DESIGN……………………………………………………… 9 DEFINING RECIDIVISM……………………………………………… 11 FINDINGS ON PROGRAMS ………………………………………….. 15 Treatment Programs………………………………………….. 15 Educational Programs……………………………………....... 18 Employment Programs………………………………………. 19 Other Types of Programs……………………………….......... 21 RECOMMENDATIONS …………..…………………………………… 24 APPENDIX…..………………………………………………………. 27 3 CURRENT STRATEGIES FOR REDUCING RECIDIVISM Lise McKean, Ph.D., and Charles Ransford Center for Impact Research August 2004 EXECUTIVE SUMMARY Recidivism is the relapse into criminal activity and is generally measured by a former prisoner’s return to prison for a new offense. Rates of recidivism reflect the degree to which released inmates have been rehabilitated and the role correctional programs play in reintegrating prisoners into society. The rate of recidivism in the U.S. is estimated to be about two-thirds, which means that two-thirds of released inmates will be re-incarcerated within three years. High rates of recidivism result in tremendous costs both in terms of public safety and in tax dollars spent to arrest, prosecute, and incarcerate re-offenders. -
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. -
A Curriculum Guide
FOCUS ON PHOTOGRAPHY: A CURRICULUM GUIDE This page is an excerpt from Focus on Photography: A Curriculum Guide Written by Cynthia Way for the International Center of Photography © 2006 International Center of Photography All rights reserved. Published by the International Center of Photography, New York. Printed in the United States of America. Please credit the International Center of Photography on all reproductions. This project has been made possible with generous support from Andrew and Marina Lewin, the GE Fund, and public funds from the New York City Department of Cultural Affairs Cultural Challenge Program. FOCUS ON PHOTOGRAPHY: A CURRICULUM GUIDE PART IV Resources FOCUS ON PHOTOGRAPHY: A CURRICULUM GUIDE This section is an excerpt from Focus on Photography: A Curriculum Guide Written by Cynthia Way for the International Center of Photography © 2006 International Center of Photography All rights reserved. Published by the International Center of Photography, New York. Printed in the United States of America. Please credit the International Center of Photography on all reproductions. This project has been made possible with generous support from Andrew and Marina Lewin, the GE Fund, and public funds from the New York City Department of Cultural Affairs Cultural Challenge Program. FOCUS ON PHOTOGRAPHY: A CURRICULUM GUIDE Focus Lesson Plans Fand Actvities INDEX TO FOCUS LINKS Focus Links Lesson Plans Focus Link 1 LESSON 1: Introductory Polaroid Exercises Focus Link 2 LESSON 2: Camera as a Tool Focus Link 3 LESSON 3: Photographic Field -
The Founding, Fantastic Growth, and Fast Decline of Norsk Data AS Tor Steine
The Founding, Fantastic Growth, and Fast Decline of Norsk Data AS Tor Steine To cite this version: Tor Steine. The Founding, Fantastic Growth, and Fast Decline of Norsk Data AS. 3rd History of Nordic Computing (HiNC), Oct 2010, Stockholm, Sweden. pp.249-257, 10.1007/978-3-642-23315- 9_28. hal-01564615 HAL Id: hal-01564615 https://hal.inria.fr/hal-01564615 Submitted on 19 Jul 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License The Founding, Fantastic Growth, and Fast Decline of Norsk Data AS Tor Olav Steine Formerly of Norsk Data AS [email protected] Abstract. Norsk Data was a remarkable company that in just twenty years went from a glimmer in the eyes of some computer enthusiasts to become number two in share value at the Oslo Stock Exchange. Within a few years thereafter, it collapsed, for no obvious reason. How was this tremendous success possible and why did the company collapse? Keywords: Collapse, computer, F16, industry, minicomputer, Norsk Data, Nord, simulator, success, Supermini 1 The Beginning 1.1 FFI A combination of circumstances led to the founding of Norsk Data1 in June 1967. -
Classroom Activity Pictorial Language: Mesoamerican Reading
Classroom Activity Pictorial Language: Mesoamerican Reading and Writing ______________________________________________________________________________________________________ Enduring Understanding The basic unit of pictorial language is the pictogram, a graphic symbol that represents an idea or concept. Pictorial language, although an ancient tradition, is still employed in colloquialisms today. Grades K–12 Time One class period Visual Art Concepts Symbol, meaning, representation, communication, Materials Paper and pencils. Optional: colored pencils Talking about Art Pictorial language, or an ideographic writing system is a method of communication based on the ideogram/pictogram. An ideogram is a symbol that represents an idea or concept, while a pictogram conveys meaning through realistic resemblance. These symbols, unique to every ancient civilization, formed a hieroglyphic dictionary for Mesoamerican scribes. Much of the history of Mesoamerica can be traced through their pictorial language, independently developed around 950 and widely adopted throughout southern Mexico by 1300. It was used to record and preserve the history, genealogy, and mythology of Mixtec, Nahua, and Zapotec cultures and appears most prominently in painted books called codices. (For more information about codices and for tips on how to create one, see the accompanying lesson plan Create Your Lord Eight Deer Own Codex.) View and discuss the Codex Nuttal, Mexico, Western Oaxaca, 15th–16th century. What is going on here? Who are the characters? What is the setting? What action is taking place? How did the scribe or artist use line, shape, space, color, and composition to tell the story? This codex tells the story of Lord Eight Deer, an epic Mixtec conqueror and cult hero who lived between 1063 and 1115. -
Spatial Analysis, Modelling and Planning
Edited by Jorge Rocha and José António Tenedório Spatial Analysis, Modelling and Planning New powerful technologies, such as geographic information systems (GIS), have been evolving and are quickly becoming part of a worldwide emergent digital infrastructure. Spatial analysis is becoming more important than ever because enormous volumes of Spatial Analysis, spatial data are available from different sources, such as social media and mobile phones. When locational information is provided, spatial analysis researchers can use it to calculate statistical and mathematical relationships through time and space. Modelling and Planning This book aims to demonstrate how computer methods of spatial analysis and modeling, integrated in a GIS environment, can be used to better understand reality and give rise to more informed and, thus, improved planning. It provides a comprehensive discussion of Edited by Jorge Rocha and José António Tenedório spatial analysis, methods, and approaches related to planning. ISBN 978-1-78984-239-5 Published in London, UK © 2018 IntechOpen © eugenesergeev / iStock SPATIAL ANALYSIS, MODELLING AND PLANNING Edited by Jorge Rocha and José António Tenedório SPATIAL ANALYSIS, MODELLING AND PLANNING Edited by Jorge Rocha and José António Tenedório Spatial Analysis, Modelling and Planning http://dx.doi.org/10.5772/intechopen.74452 Edited by Jorge Rocha and José António Tenedório Contributors Ana Cristina Gonçalves, Adélia Sousa, Lenwood Hall, Ronald Anderson, Khalid Al-Ahmadi, Andreas Rienow, Frank Thonfeld, Nora Schneevoigt, Diego Montenegro, Ana Da Cunha, Ingrid Machado, Lili Duraes, Stefan Vilges De Oliveira, Marcel Pedroso, Gilberto Gazêta, Reginaldo Brazil, Brooks C Pearson, Brian Ways, Valentina Svalova, Andreas Koch, Hélder Lopes, Paula Remoaldo, Vítor Ribeiro, Toshiaki Ichinose, Norman Schofield, Fred Bidandi, John James Williams, Jorge Rocha, José António Tenedório © The Editor(s) and the Author(s) 2018 The rights of the editor(s) and the author(s) have been asserted in accordance with the Copyright, Designs and Patents Act 1988. -
CHAPTER 9 DATA DISPLAY and CARTOGRAPHY 9.1 Cartographic
CHAPTER 9 DATA DISPLAY AND CARTOGRAPHY 9.1 Cartographic Representation 9.1.1 Spatial Features and Map Symbols 9.1.2 Use of Color 9.1.3 Data Classification 9.1.4 Generalization Box 9.1 Representations 9.2 Types of Quantitative Maps Box 9.2 Locating Dots on a Dot Map Box 9.3 Mapping Derived and Absolute Values 9.3 Typography 9.3.1 Type Variations 9.3.2 Selection of Type Variations 9.3.3 Placement of Text in the Map Body Box 9.4 Options for Dynamic Labeling 9.4 Map Design 9.4.1 Layout Box 9.5 Wizards for Adding Map Elements 9.4.2 Visual Hierarchy 9.5 Map Production Box 9.6 Working with Soft-Copy Maps Box 9.7 A Web Tool for Making Color Maps Key Concepts and Terms Review Questions Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Applications: Data Display and Cartography Task 1: Make a Choropleth Map Task 2: Use Graduated Symbols, Line Symbols, Highway Shield Symbols, and Text Symbols Task 3: Label Streams Challenge Task References 1 Common Map Elements zCommon map elements are the title, body, legend, north arrow, scale, acknowledgment, and neatline/map border. zOther elements include the graticule or grid, name of map projection, inset or location map, and data quality information. Figure 9.1 Common map elements. 2 Cartographic Representation zCartography is the making and study of maps in all their aspects. zCartographers classify maps into general reference or thematic, and qualitative or quantitative. Spatial Features and Map Symbols zTo display a spatial feature on a map, we use a map symbol to indicate the feature’s location and a visual variable, or visual variables, with the symbol to show the feature’s attribute data. -
MAP READING from the Beginner to the Advanced Map Reader Contents
ORDNANCE SURVEY MAP READING From the beginner to the advanced map reader Contents 3 What is a map? 3 Understanding your map needs 4 Map symbols 5 Map scale 6 The basics 8 Grid references 10 National Grid lines 11 Reading contours and relief 13 Know your compass 14 Using your compass 15 Using land features 17 Advanced techniques 17 Pinpointing your location 17 Transit lines 18 Pinpointing your location with a compass 19 Triangulation 20 Aspect of slope 21 Feature interpretation 22 Contouring 23 Measuring the distance travelled on the ground 24 Naismith’s rule 24 Walking on a bearing 26 Still can’t find your next location? 27 Navigating at night or in bad weather 2 What is a map? A map is simply a drawing or picture of a landscape or location. Maps usually show the landscape as it would be seen from above, looking directly down. As well as showing the landscape of an area, maps will often show other features such as roads, rivers, buildings, trees and lakes. A map can allow you to accurately plan a journey, giving a good idea of landmarks and features you will pass along the route, as well as how far you will be travelling. © Crown copyright Understanding your map needs There are many different types of maps. The type of map you would choose depends on why you need it. If you were trying to find a certain street or building in your home town you would need a map that showed you all the smaller streets, maybe even footpaths in and around town. -
A Retrospective Look at My Professional Life 0. Prologue
A Retrospective Look at My Professional Life Michael D. Maltz August 2020 Now that I’m just about done with the working part of my life, I thought that I’d try to trace the steps that I took in getting to this point, from initially embarking on a purely technical career to one that ended up in a social science. I describe how I drifted into studying crime. It may read a bit choppy, but the path I took was not straight; I followed my nose and what interested me, rather than any plan. To some extent, it shows the benefits of what Donald Campbell termed the “fish-scale” model of interdisciplinary studies: move away from the specialization you focused on in school, and apply the skills you learned to another area, since you have a different viewpoint (and skills) that can be valuable. [And now, with the COVID-19 pandemic upon us, I realize how fortunate I was to grow up during a time when going from school to college to graduate school to work, and then to retirement, was an expected and natural progression. I just hope that the current situation does settle down soon, so others can find a stable path through their lives.] 0. Prologue Before getting into the details of my life’s trajectory, here are two of my favorite quotes. They indicate, respectively, the promise and perils of quantitative analysis, which I have been doing for the past 50-odd years. The first is a 1948 poem by a mathematician, Clarence Wylie: PARADOX Not truth, nor certainty.