Infographics: a Field Guide

Total Page:16

File Type:pdf, Size:1020Kb

Infographics: a Field Guide Infographics: A Field Guide MESSAGE THOUGHT NCEPT KEYWORDCO IDEA COMMUNICATION CONCEPT THOUGHT IDEA KEYWORD IDEA MESSAGE NCEPT IDEA THOUGHT CO KEYWORD CONCEPT THOUGHT KEYWORD IDEA white paper > Infographics: A Field Guide 2 When you only have a few short moments to capture someone’s attention, try an infographic. What’s Inside What are Infographics? 3 How to Use Infographics 4 Mistakes to Avoid 5 Keys to Success 6 Final Thoughts 7 Infographics are only as effective as the data, design, and story put into them. Infographics can be found everywhere. The basic technique is nothing new – maps, charts, and graphs have long been used to visually capture information in media, for everything from weather forecasts and transit diagrams, to features in newspapers like USA Today. But information overload and the proliferation of simple design tools make now an especially fertile time for infographics. There’s a widespread need for information nuggets that are insightful, easy to grasp and share, and suited to our fast-moving digital world. Critics and trend-watchers talk about “infographics fatigue,” arguing that the trend is dead and no longer of value. However, we see infographics as a tool that can be used well or used poorly. They are only as effective as the data, design, and story put into them. This paper is a field guide to the fundamentals of infographics, the different ways they can be used, common mistakes to avoid, and keys to success. white paper > Infographics: A Field Guide 3 THE BASICS: What are infographics? The terms infographics, information design, and data visualization are loosely defined and generally refer to the same thing: information presented in a graphical form. These terms can be considered to have 18th century Scottish slightly different shades of meaning:1 engineer and • Infographics, literally information plus graphics, are visual political economist representations of information, data, or knowledge. They present complex information quickly and clearly – and often, tell a story. William Playfair • Information design is the practice of presenting information to foster is considered the understanding, often taught in graphic design courses. founding father • Data visualization is the study of visual representation of data – i.e. using graphics to make sense of large amounts of data or information, of infographics. especially in science and academics. First, start with the building blocks Bar graph Pie chart Flow chart Timeline Map Venn diagram Bubble chart Word cloud KEYWORD THOUGHT NCEPT KEYWORDCO IDEA COMMUNICATION CONCEPT THOUGHT IDEA On their own, each one of these familiar building blocks could be considered a simple infographic. The complex infographics we routinely see today often use them as components – much like a complex molecule is made up of a number of chemical elements. white paper > Infographics: A Field Guide 4 Using infographics – presenting Infographics can information, telling a story showcase data in a 2 Content marketing expert Joe Chernov praises the power of number of ways: infographics in an era of “too much information and too little time.”3 • See relationships Chernov recommends that communicators choose from four core among data points types of infographics to help simplify the complex – as he (scatter plot, matrix discusses in a brief video.4 chart, network diagram) 1. The “state of” an industry/trend/idea: Share updates, celebrate • Compare a set of values milestones, paint a picture of change, show relationships, or set up (bar chart, bubble chart) calls to action. • Track rises and falls 2. Educational resource: Create goodwill and sticky experiences over time (line graph, with “how-to” resources and guides that may offer steps, diagrams, stack graph) or do’s and don’ts. • See the parts of a whole 3. Compare / contrast: Provide education or stimulate discussion (pie chart, map) with comparative infographics (for example “Mac vs. PC” or “Geek vs. Hipster”). • Analyzing and diagramming a text 4. Evolution: Offer “food for thought” content that establishes authority, (word cloud, word tree) fosters debate – or helps you get more life out of existing content. There are two more types of infographics we’d like to add to the list. 5. Numbers and stats: The ever-popular figure-driven infographic, which focuses on numerical data, percentages, or survey responses. In place of spreadsheets or voluminous reports, a pithy summary infographic can make an immediate impact. 6. The visualized article: An interesting format to tell a story, letting readers follow the flow in visual form. Re-imagine a traditional article % visually, like this smart infographic from the Newspaper Association of America about why millennials still want newspapers.5 Storytelling through infographics is eye-catching, engaging and one of the most clever ways to make a powerful emotional connection with your audience. Why people like infographics A recent article6 by marketing education and training organization MarketingProfs looks at why we like infographics. The article contends that effective infographics help us sort useful information from the volumes of unnecessary data we are faced with every day – in as little time as possible! – through “a well-thought-out combination of font sizes, colors and visual elements.” MarketingProfs also highlights our human propensity for visual learning and for wanting to see statistics and numbers as proof of expertise. white paper > Infographics: A Field Guide 5 Mistakes to avoid !! ! ! ! ! KEYWORD THOUGHT ONCEPT KEYWORDC COMMUNICATIO !! ! CONCEP Beware the Crap Circle! !! IDEA ! ! ! Certain visual clichés crop up all too often in infographic form, and one of the biggest offenders is the circle-and-arrow cycle that has been branded as the “crap circle.” These diagrams Not all infographics are are intended to show how a process flows in a loop, and brilliant masterpieces. they may look snappy enough. When they’re bad, infographics can be a total mess, failing to register But they can lazily contrive a with the audience you wish to influence or even backfiring to harm your cyclical relationship that is either reputation. But what makes an infographic bad? Here are some major questionable or false. Harvard pitfalls to bear in mind. Business Review speaks out against the crap circle in this 7 • Gratuitous infographics are done for the sake of doing an infographic oft-cited blog post. when text or simple diagrams would work just as well. Added icons and symbols need to serve a purpose. • Confusing infographics make your data or information harder to understand instead of easier – defeating the whole purpose of going visual. • Overloaded graphics pack too much information together, fail to make a point, and risk losing the reader’s attention fast. Your audience may be left asking “So what?” It can be wise to split complex information into multiple pieces instead of cramming it all together. • Bad design can wreck an infographic. This can be a matter of gaudy colors, ugly fonts and amateurish layouts, but it can also be professional-looking design where the information itself is mishandled. The designer might inadvertently distort the data to conform to a visual concept that looks nice but fails to represent the information correctly. • Misleading infographics deliberately paint a false picture to promote an agenda or make an unfair marketing claim. For example, zooming in the scale on a bar graph in order to make a small difference between values seem much larger, or making “apples and oranges” comparisons. Such gimmicks risk creating a negative impression and suspicion among the audience. white paper > Infographics: A Field Guide 6 Keys to success Make it memorable What makes an infographic great? New research shows that our minds unconsciously receive a surprising amount of visual detail in just an instant. So an infographic’s memorability can enhance its effectiveness. The recent article “The Secrets of a Memorable Infographic”8 looks at this connection, based on the more than 2,000 images that made up the largest scale visualization study to date. This is what the study found about memorability: Snapshot: Railinc • Recognize it and remember it. Many infographics contain “human Railinc is a provider of data recognizable objects” that we see in everyday life – photos, body and software for the freight rail parts, icons, animals, or foods. With good reason, because these industry. During 2012, Railinc images make for the most memorable visualizations. collaborated with industry partners to solve pressing • Colorful is better. Researchers found that infographics using more technology problems, increased than six colors were more memorable than those with few colors or service delivery reliability, and those in black and white. better aligned with customers’ • We like to see a lot going on. Visual density or “clutter” is often needs. To showcase progress, frowned upon, but done right it can actually boost memorability. Signal created infographics for Complex infographics showed an advantage over more minimalist Railinc’s 2012 Annual Report – visuals. And rounded shapes were an added bonus, so well-received that they increasing memorability. were repurposed in their corporate brochure. • Bar charts are a no-go. Surprisingly, basic bar charts and graphs suffer from overexposure. We have a hard time distinguishing one bar chart from another. And tie it to strategy Memorability can be a powerful edge, but still an infographic is only as good as the data and strategy behind it. As with any other marketing communication, Signal recommends that it should be based on:9 • Good planning • Thoughtful strategy • A solid understanding of your audience Snapshot: Syngenta • Strong, aligned, approved messaging Syngenta is a leading agribusiness offering a comprehensive portfolio • And accurate, meaningful data and information. of crop protection products. Signal With these things covered, we find that an infographic serves as a great designed a complex educational piece of snackable content: bite-sized and designed for easy consumption. infographic illustrating ways to control insects and grow more corn.
Recommended publications
  • Realistic Modeling and Rendering of Plant Ecosystems
    Realistic modeling and rendering of plant ecosystems Oliver Deussen1 Pat Hanrahan2 Bernd Lintermann3 RadomÂõr MechÏ 4 Matt Pharr2 Przemyslaw Prusinkiewicz4 1 Otto-von-Guericke University of Magdeburg 2 Stanford University 3 The ZKM Center for Art and Media Karlsruhe 4 The University of Calgary Abstract grasslands, human-made environments, for instance parks and gar- dens, and intermediate environments, such as lands recolonized by Modeling and rendering of natural scenes with thousands of plants vegetation after forest ®res or logging. Models of these ecosystems poses a number of problems. The terrain must be modeled and plants have a wide range of existing and potential applications, including must be distributed throughout it in a realistic manner, re¯ecting the computer-assisted landscape and garden design, prediction and vi- interactions of plants with each other and with their environment. sualization of the effects of logging on the landscape, visualization Geometric models of individual plants, consistent with their po- of models of ecosystems for research and educational purposes, sitions within the ecosystem, must be synthesized to populate the and synthesis of scenes for computer animations, drive and ¯ight scene. The scene, which may consist of billions of primitives, must simulators, games, and computer art. be rendered ef®ciently while incorporating the subtleties of lighting Beautiful images of forests and meadows were created as early in a natural environment. as 1985 by Reeves and Blau [50] and featured in the computer We have developed a system built around a pipeline of tools that animation The Adventures of Andre and Wally B. [34]. Reeves and address these tasks.
    [Show full text]
  • Chartmaking in England and Its Context, 1500–1660
    58 • Chartmaking in England and Its Context, 1500 –1660 Sarah Tyacke Introduction was necessary to challenge the Dutch carrying trade. In this transitional period, charts were an additional tool for The introduction of chartmaking was part of the profes- the navigator, who continued to use his own experience, sionalization of English navigation in this period, but the written notes, rutters, and human pilots when he could making of charts did not emerge inevitably. Mariners dis- acquire them, sometimes by force. Where the navigators trusted them, and their reluctance to use charts at all, of could not obtain up-to-date or even basic chart informa- any sort, continued until at least the 1580s. Before the tion from foreign sources, they had to make charts them- 1530s, chartmaking in any sense does not seem to have selves. Consequently, by the 1590s, a number of ship- been practiced by the English, or indeed the Scots, Irish, masters and other practitioners had begun to make and or Welsh.1 At that time, however, coastal views and plans sell hand-drawn charts in London. in connection with the defense of the country began to be In this chapter the focus is on charts as artifacts and made and, at the same time, measured land surveys were not on navigational methods and instruments.4 We are introduced into England by the Italians and others.2 This lack of domestic production does not mean that charts I acknowledge the assistance of Catherine Delano-Smith, Francis Her- and other navigational aids were unknown, but that they bert, Tony Campbell, Andrew Cook, and Peter Barber, who have kindly commented on the text and provided references and corrections.
    [Show full text]
  • Visualization in Multiobjective Optimization
    Final version Visualization in Multiobjective Optimization Bogdan Filipič Tea Tušar Tutorial slides are available at CEC Tutorial, Donostia - San Sebastián, June 5, 2017 http://dis.ijs.si/tea/research.htm Computational Intelligence Group Department of Intelligent Systems Jožef Stefan Institute Ljubljana, Slovenia 2 Contents Introduction A taxonomy of visualization methods Visualizing single approximation sets Introduction Visualizing repeated approximation sets Summary References 3 Introduction Introduction Multiobjective optimization problem Visualization in multiobjective optimization Minimize Useful for different purposes [14] f: X ! F • Analysis of solutions and solution sets f:(x ;:::; x ) 7! (f (x ;:::; x );:::; f (x ;:::; x )) 1 n 1 1 n m 1 n • Decision support in interactive optimization • Analysis of algorithm performance • X is an n-dimensional decision space ⊆ Rm ≥ • F is an m-dimensional objective space (m 2) Visualizing solution sets in the decision space • Problem-specific ! Conflicting objectives a set of optimal solutions • If X ⊆ Rm, any method for visualizing multidimensional • Pareto set in the decision space solutions can be used • Pareto front in the objective space • Not the focus of this tutorial 4 5 Introduction Introduction Visualization can be hard even in 2-D Stochastic optimization algorithms Visualizing solution sets in the objective space • Single run ! single approximation set • Interested in sets of mutually nondominated solutions called ! approximation sets • Multiple runs multiple approximation sets • Different
    [Show full text]
  • Milestones in the History of Data Visualization
    Milestones in the History of Data Outline Visualization • Introduction A case study in statistical historiography – Milestones Project: overview {flea bites man, bites flea, bites man}-wise – Background Michael Friendly, York University – Data and Stories CARME 2003 • Milestones tour • Problems of statistical historiography – What counts as a milestone? – What is “data” – How to visualize? Milestones: Project Goals Milestones: Conceptual Overview • Comprehensive catalog of historical • Roots of Data Visualization developments in all fields related to data – Cartography: map-making, geo-measurement visualization. thematic cartography, GIS, geo-visualization – Statistics: probability theory, distributions, • o Collect representative bibliography, estimation, models, stat-graphics, stat-vis images, cross-references, web links, etc. – Data: population, economic, social, moral, • o Enable researchers to find/study medical, … themes, antecedents, influences, patterns, – Visual thinking: geometry, functions, mechanical diagrams, EDA, … trends, etc. – Technology: printing, lithography, • Web: http://www.math.yorku.ca/SCS/Gallery/milestone/ computing… Milestones: Content Overview Background: Les Albums Every picture has a story – Rod Stewart c. 550 BC: The first world map? (Anaximander of Miletus) • Album de 1669: First graph of a continuous distribution function Statistique (Gaunt's life table)– Christiaan Huygens. Graphique, 1879-99 1801: Pie chart, circle graph - • Les Chevaliers des William Playfair 1782: First topographical map- Albums M.
    [Show full text]
  • 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.
    [Show full text]
  • 3B – a Guide to Pictograms
    3b – A Guide to Pictograms A pictogram involves the use of a symbol in place of a word or statistic. Why would we use a pictogram? Pictograms can be very useful when trying to interpret data. The use of pictures allows the reader to easily see the frequency of a geographical phenomenon without having to always read labels and annotations. They are best used when the aesthetic qualities of the data presentation are more important than the ability to read the data accurately. Pictogram bar charts A normal bar chart can be made using a set of pictures to make up the required bar height. These pictures should be related to the data in question and in some cases it may not be necessary to provide a key or explanation as the pictures themselves will demonstrate the nature of the data inherently. A key may be needed if large numbers are being displayed – this may also mean that ‘half’ sized symbols may need to be used too. This project was funded by the Nuffield Foundation, but the views expressed are those of the authors and not necessarily those of the Foundation. Proportional shapes and symbols Scaling the size of the picture to represent the amount or frequency of something within a data set can be an effective way of visually representing data. The symbol should be representative of the data in question, or if the data does not lend itself to a particular symbol, a simple shape like a circle or square can be equally effective. Proportional symbols can work well with GIS, where the symbols can be placed on different sites on the map to show a geospatial connection to the data.
    [Show full text]
  • 1) Key Words 2) Tally Charts 3) Pictograms 4) Block Graph 5) Bar
    KS2 1) Key Words 2) Tally Charts 3) Pictograms 4) Block Graph 5) Bar Graphs 6) Pie Charts 7) Grouped Tally Charts (KS2/3 analysis) 8) Grouped Frequency Diagrams 9) Frequency Polygons 10) Line Graphs 11) Scatter Diagrams 12) Cumulative Frequency Diagrams 13) Box Plots 14) Histograms KS4 15) Grouped Tally Charts (KS4 analysis) 16) What Makes A Good Graph * Analysing Data Key words Axes Linear Continuous Median Correlation Origin Plot Data Discrete Scale Frequency x -axis Grouped y -axis Interquartile Title Labels Tally Types of data Discrete data can only take specific values, e.g. siblings, key stage 3 levels, numbers of objects Continuous data can take any value, e.g. height, weight, age, time, etc. Tally Chart A tally chart is used to organise data from a list into a table. The data shows the number of children in each of 30 families. 2, 1, 5, 0, 2, 1, 3, 0, 2, 3, 2, 4, 3, 1, 2, 3, 2, 1, 4, 0, 1, 3, 1, 2, 2, 6, 3, 2, 2, 3 Number of children in a Tally Frequency family 0 1 2 3 4 or more Year 3/4/5/6:- represent data using: lists, tally charts, tables and diagrams Tally Chart This data can now be represented in a Pictogram or a Bar Graph The data shows the number of children in each family. 30 families were studied. Add up the tally Number of children in a Tally Frequency family 0 III 3 1 IIII I 6 2 IIII IIII 10 3 IIII II 7 4 or more IIII 4 Total 30 Check the total is 30 IIII = 5 Year 3/4/5/6:- represent data using: lists, tally charts, tables and diagrams Pictogram This data could be represented by a Pictogram: Number of Tally Frequency
    [Show full text]
  • 2021 Garmin & Navionics Cartography Catalog
    2021 CARTOGRAPHY CATALOG CONTENTS BlueChart® Coastal Charts �� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 04 LakeVü Inland Maps �� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 06 Canada LakeVü G3 �� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 08 ActiveCaptain® App �� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 09 New Chart Guarantee� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 10 How to Read Your Product ID Code �� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 10 Inland Maps ��������������������������������������������������� 12 Coastal Charts ������������������������������������������������� 16 United States� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 18 Canada ���������������������������������������������������� 24 Caribbean �������������������������������������������������� 26 South America� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 27 Europe����������������������������������������������������� 28 Africa ����������������������������������������������������� 39 Asia ������������������������������������������������������ 40 Australia/New Zealand �� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 42 Pacific Islands �� � � � � � � � � � � � � � � � � � � � � � � � � � � � � � �
    [Show full text]
  • A Very Simple Approach for 3-D to 2-D Mapping
    Image Processing & Communications, vol. 11, no. 2, pp. 75-82 75 A VERY SIMPLE APPROACH FOR 3-D TO 2-D MAPPING SANDIPAN DEY (1), AJITH ABRAHAM (2),SUGATA SANYAL (3) (1) Anshin Soft ware Pvt. Ltd. INFINITY, Tower - II, 10th Floor, Plot No.- 43. Block - GP, Salt Lake Electronics Complex, Sector - V, Kolkata - 700091 email: [email protected] (2) IITA Professorship Program, School of Computer Science, Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, Seoul 120-749, Republic of Korea email: [email protected] (3) School of Technology & Computer Science Tata Institute of Fundamental Research Homi Bhabha Road, Mumbai - 400005, INDIA email: [email protected] Abstract. libraries with any kind of system is often a tough trial. This article presents a very simple method of Many times we need to plot 3-D functions e.g., in mapping from 3-D to 2-D, that is free from any com- many scientific experiments. To plot this 3-D func- plex pre-operation, also it will work with any graph- tions on 2-D screen it requires some kind of map- ics system where we have some primitive 2-D graph- ping. Though OpenGL, DirectX etc 3-D rendering ics function. Also we discuss the inverse transform libraries have made this job very simple, still these and how to do basic computer graphics transforma- libraries come with many complex pre-operations tions using our coordinate mapping system. that are simply not intended, also to integrate these 76 S. Dey, A. Abraham, S. Sanyal 1 Introduction 2 Proposed approach We have a pictorial representation (Fig.1) of our 3-D to 2-D mapping system: We have a function f : R2 → R, and our intention is to draw the function in 2-D plane.
    [Show full text]
  • An Investigation Into the Graphic Innovations of Geologist Henry T
    Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School 2003 Uncovering strata: an investigation into the graphic innovations of geologist Henry T. De la Beche Renee M. Clary Louisiana State University and Agricultural and Mechanical College Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Part of the Education Commons Recommended Citation Clary, Renee M., "Uncovering strata: an investigation into the graphic innovations of geologist Henry T. De la Beche" (2003). LSU Doctoral Dissertations. 127. https://digitalcommons.lsu.edu/gradschool_dissertations/127 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. UNCOVERING STRATA: AN INVESTIGATION INTO THE GRAPHIC INNOVATIONS OF GEOLOGIST HENRY T. DE LA BECHE A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The Department of Curriculum and Instruction by Renee M. Clary B.S., University of Southwestern Louisiana, 1983 M.S., University of Southwestern Louisiana, 1997 M.Ed., University of Southwestern Louisiana, 1998 May 2003 Copyright 2003 Renee M. Clary All rights reserved ii Acknowledgments Photographs of the archived documents held in the National Museum of Wales are provided by the museum, and are reproduced with permission. I send a sincere thank you to Mr. Tom Sharpe, Curator, who offered his time and assistance during the research trip to Wales.
    [Show full text]
  • The New Plot to Hijack GIS and Mapping
    The New Plot to Hijack GIS and Mapping A bill recently introduced in the U.S. Senate could effectively exclude everyone but licensed architects, engineers, and surveyors from federal government contracts for GIS and mapping services of all kinds – not just those services traditionally provided by surveyors. The Geospatial Data Act (GDA) of 2017 (S.1253) would set up a system of exclusionary procurement that would prevent most companies and organizations in the dynamic and rapidly growing GIS and mapping sector from receiving federal contracts for a very-wide range of activities, including GPS field data collection, GIS, internet mapping, geospatial analysis, location based services, remote sensing, academic research involving maps, and digital or manual map making or cartography of almost any type. Not only would this bill limit competition, innovation and free-market approaches for a crucial high-growth information technology (IT) sector of the U.S. economy, it also would cripple the current vibrant GIS industry and damage U.S. geographic information science, research capacity, and competitiveness. The proposed bill would also shackle government agencies, all of which depend upon the productivity, talent, scientific and technical skills, and the creativity and innovation that characterize the vast majority of the existing GIS and mapping workforce. The GDA bill focuses on a 1972 federal procurement law called the Brooks Act that reasonably limits federal contracts for specific, traditional architectural and engineering services to licensed A&E firms. We have no problem with that. However, if S.1253 were enacted, the purpose of the Brooks Act would be radically altered and its scope dramatically expanded by also including all mapping and GIS services as “A&E services” which would henceforth would be required to be procured under the exclusionary Brooks Act (accessible only to A&E firms) to the great detriment of the huge existing GIS IT sector and all other related companies and organizations which have long been engaged in cutting-edge GIS and mapping.
    [Show full text]
  • 1. What Is a Pictogram? 2
    Canonbury Home Learning Year 2/3 Maths Steppingstone activity Lesson 5 – 26.06.2020 LO: To interpret and construct simple pictograms Success Criteria: 1. Read the information about pictograms 2. Use the information in the Total column to complete the pictogram 3. Find some containers around your house and experiment with their capacity – talk through the questions with someone you live with 1. What is a pictogram? 2. Complete the pictogram: A pictogram is a chart or graph which uses pictures to represent data. They are set out the same way as a bar chart but use pictures instead of bars. Each picture could represent one item or more than one. Today we will be drawing pictograms where each picture represents one item. 2. Use the tally chart to help you complete the pictogram: Canonbury Home Learning Year 2/3 Maths Lesson 5 – 26.06.2020 LO: To interpret and construct simple pictograms Task: You are going to be drawing pictograms 1-1 Success Criteria: 1. Read the information about pictograms 2. Task 1: Use the information in the table to complete the pictogram 3. Task 2: Use the information in the tally chart and pictogram to complete the missing sections of each Model: 2. 3. 1. What is a pictogram? A pictogram is a chart or graph which uses pictures to represent data. They are set out the same way as a bar chart but use pictures instead of bars. Each picture could represent one item or more than one. Today we will be drawing pictograms where each picture represents one item.
    [Show full text]