The document discusses using data visualization for data discovery. It provides three qualities that make a visualization good for data discovery: 1) being interactive to allow users to ask questions, 2) being multidimensional to show relationships between variables, and 3) being visually efficient to convey information in a small footprint compared to tabular data. Examples of different visualization types are shown that exemplify these qualities. The document encourages using interactive visualization tools to help users discover patterns in experience data collected from various sources.
Data visualization is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a time series.
18 Tips for Creating Beautiful InfographicsEdahn Small
The document provides 18 tips for designing effective infographics. Some key tips include dissecting favorite infographics to learn techniques, using a wireframe to organize content before designing, including a concise introduction and conclusion, using color purposefully to draw attention, sticking to 3 font styles, and knowing when to use different types of charts like bar charts, line graphs and pies/donuts. The tips are illustrated by hyperlinked examples of effective infographic design.
What is Infographics?
There are lot of phrase around the term Information graphics like
"Infographics." "Data visualization." "Information design. & “Communication Design"
We're talking about any graphic that displays and explains information, whether that be data or words. When we use the term "data visualization," we're using it as a general term used to describe data presented in a visual way.
Why Infographics?
Infographics are important because they change the way people find and
experience stories especially now, when more and more infographics are being used to augment editorial content on the web. Infographics create a new way of seeing the world of data, and they help communicate complex ideas in a clear and beautiful way.
This document discusses how to create infographics using Adobe Illustrator. It defines infographics as visual representations of information designed to convey data quickly. Illustrator is recommended for infographic design because it allows for smaller file sizes, faster loading times, and effective data visualization through vector graphics that can be scaled without quality loss. The document outlines Illustrator's vector tools and environment which empower designers to convert raster images and text to editable vector points for customization across programs like Photoshop and InDesign, making it a powerful and versatile software for infographic creation.
How to Change Text to Diagrams (infodiagram visualization)Peter Zvirinsky
The document discusses using diagrams to replace text in presentations. It provides examples of different types of diagrams including three-tier systems, graphs, and flow charts. The benefits of using diagrams are that they are fast to read and understand and simple to create while also clearly showing context. Recommendations are provided for resources to learn more about creating diagrams.
The document discusses using data visualization for data discovery. It provides three qualities that make a visualization good for data discovery: 1) being interactive to allow users to ask questions, 2) being multidimensional to show relationships between variables, and 3) being visually efficient to convey information in a small footprint compared to tabular data. Examples of different visualization types are shown that exemplify these qualities. The document encourages using interactive visualization tools to help users discover patterns in experience data collected from various sources.
Data visualization is an interdisciplinary field that deals with the graphic representation of data. It is a particularly efficient way of communicating when the data is numerous as for example a time series.
18 Tips for Creating Beautiful InfographicsEdahn Small
The document provides 18 tips for designing effective infographics. Some key tips include dissecting favorite infographics to learn techniques, using a wireframe to organize content before designing, including a concise introduction and conclusion, using color purposefully to draw attention, sticking to 3 font styles, and knowing when to use different types of charts like bar charts, line graphs and pies/donuts. The tips are illustrated by hyperlinked examples of effective infographic design.
What is Infographics?
There are lot of phrase around the term Information graphics like
"Infographics." "Data visualization." "Information design. & “Communication Design"
We're talking about any graphic that displays and explains information, whether that be data or words. When we use the term "data visualization," we're using it as a general term used to describe data presented in a visual way.
Why Infographics?
Infographics are important because they change the way people find and
experience stories especially now, when more and more infographics are being used to augment editorial content on the web. Infographics create a new way of seeing the world of data, and they help communicate complex ideas in a clear and beautiful way.
This document discusses how to create infographics using Adobe Illustrator. It defines infographics as visual representations of information designed to convey data quickly. Illustrator is recommended for infographic design because it allows for smaller file sizes, faster loading times, and effective data visualization through vector graphics that can be scaled without quality loss. The document outlines Illustrator's vector tools and environment which empower designers to convert raster images and text to editable vector points for customization across programs like Photoshop and InDesign, making it a powerful and versatile software for infographic creation.
How to Change Text to Diagrams (infodiagram visualization)Peter Zvirinsky
The document discusses using diagrams to replace text in presentations. It provides examples of different types of diagrams including three-tier systems, graphs, and flow charts. The benefits of using diagrams are that they are fast to read and understand and simple to create while also clearly showing context. Recommendations are provided for resources to learn more about creating diagrams.
Facility Quest is a platform for running various types of workplace assessments. Global architecture firms use FacilityQuest to perform hundreds of space utilization projects for their clients, gathering, analyzing, and communicating occupancy and usage patterns as part of workplace strategy projects.
This document provides an introduction to designing infographics. It discusses what infographics are and why they are useful for sharing information visually. It then covers best practices for building infographics, including choosing a design team, getting started on a storyboard, selecting an appropriate format, and choosing visualization tools. The document concludes with guidance on disseminating and evaluating infographics.
An Infographics on How to Make InfographicsAyman Sadiq
Information graphics or infographics are graphic visual representations of information, data or knowledge. These graphics present complex information quickly and clearly, such as in signs, maps, journalism, technical writing, and education. With an information graphic, computer scientists, mathematicians, and statisticians develop and communicate concepts using a single symbol to process information.
With the trend of using the internet to convey information to millions of people worldwide, it also becomes a challenge on how you can effectively communicate to the people with your contents. Making one’s content eye-catching and easy to understand is not an easy task. You need to dig deeper into a topic and look for ways to present it in a manner that you could outshine your competitors. It is not just you who have thought of writing or presenting a particular topic. There are thousands of people who are also posting the same. The challenge is for you to make it unique and more attractive. This is where infographics come in. Infographics are visual representations of information, data or knowledge. It is an important tool in teaching, in business, in giving inspiration and in presenting information. It is one of the most powerful ways to communicate with complex data.
This document discusses infographics and why geographers should study them. It defines infographics as visual representations of information intended to present data clearly and quickly. Infographics can help geographers more easily understand and analyze patterns and trends. The document outlines the key elements of infographics as the visual, content, and knowledge. It then describes different types of geographic infographics such as data visualization, maps, comparisons, visual articles, timelines, lists, and processes.
How can you use infographics as a teaching tool? How can you go further and inspire your students to make infographics to show what they have learned? This presentation will help take you down that path to bring infographics into your elementary, middle or high school classroom.
This document provides an overview of popular programming languages used for data visualization, including R, MATLAB, and Scala. R is widely used for statistical analysis and creating visualizations like scatter plots, histograms, and heat maps. MATLAB is specialized for numerical computing but is expensive. Scala is free and suitable for large datasets when used with Apache Spark, but has a complex syntax. The document examines the advantages and disadvantages of each language for data visualization applications.
This document discusses dashboard design. It begins by proposing a cycling app dashboard to track distance, top speed, and calories burned. It then defines dashboards and discusses trends in using them for predictive analytics. The main kinds of dashboards are interactive, allowing changes, and non-interactive for historical data. Data-ink ratio principles for effective data visualization are introduced. Design rules, gestalt principles, and visual hierarchy techniques like color, scale, position and balance are covered. Activities propose guessing dashboard kinds and purposes and redesigning graphs applying these principles. Homework assigns reading about dashboard design and creating one for an app.
A New Feature For Mind Mapping SoftwareThomas Teepe
The document proposes a new feature for mind mapping software called tool maps. Tool maps would provide help and templates directly in the mind map. Users could access a secondary "help map" containing analysis, assessment, creativity, and planning tools. These tools could then be copied over to the main map. The tool maps feature would offer advantages like user-friendly tutoring, acting as a reminder of problem-solving techniques, and transforming information from books into working knowledge that is easily accessible. Various applications of tool maps are discussed for topics like project planning, consulting, studying, and more.
This document provides a comprehensive guide to data visualization. It discusses the different types of visualization techniques available, how to choose the right type of visualization for your data and message, and tips for effective data visualization design. Specific visualization types covered include line graphs, bar charts, pie charts and dashboards/reports. The document also discusses common mistakes to avoid and strategies for labeling axes, handling color, mixing chart types, and using annotations to guide readers.
E Source JourneyHub is an intuitive, interactive, and collaborative web-based tool that allows utilities to easily map their customer touchpoints and to better understand how customers interact with and feel about their utility companies.
Digital analytics: Wrap-up (Lecture 12)Joni Salminen
The document provides information about a 3-week digital analytics program at Aalto University taught by Dr. Joni Salminen. The first week introduces basics of analytics using Google Analytics and covers metrics and dashboards. The second and third weeks focus on optimization, A/B testing, cohort analysis, visualization, and algorithm-based marketing. Students will learn to choose relevant metrics, manage analytics projects, perform website audits, and make better business decisions using data. The document emphasizes learning tools like Google Analytics, Tableau, and R, and continuing education after the program.
The document summarizes different low-cost methods for conducting user research on web products with limited resources. It discusses using heatmapping and analytics tools to evaluate existing use, as well as virtual usability testing, guerrilla testing, and microfeedback forms to gather user experience feedback during the design process. Specific tools mentioned include CrazyEgg, Google Analytics, Usabilla, and building your own microfeedback forms. Examples are provided from a case study of redesigning a university library website.
Data visualization refers to visually representing data through charts, graphs, and other images to more easily identify patterns and insights. It is an important tool for understanding data, communicating findings to others, and making informed decisions. Effective data visualization requires choosing the right type of visual based on the data, ensuring the data is accurate and from a reliable source, and using the visualization to tell a story or answer key questions. There are many tools available for creating data visualizations, from Excel and Google Sheets for basic charts to more advanced options like Tableau and Photoshop.
AMIA 2015 Visual Analytics in Healthcare Tutorial Part 1David Gotz
A concise introduction to the topic of visualization. Designed for beginners with no prior experience with visualization. These slides were the first part of a half-day tutorial on Visual Analytics held in conjunction with the 2015 AMIA Annual Symposium. It was sponsored by the AMIA Visual Analytics Working Group. For more information, please see www.visualanalyticshealthcare.org or contact the author of the slides: David Gotz @ http://gotz.web.unc.edu
This document provides an overview of customer journey mapping and how to build an effective customer journey map. It discusses getting started with mapping, different mapping frameworks and approaches, key considerations when mapping, and how to analyze insights and use the map to improve customer experiences. The goal is to help readers understand customer journey mapping and have success designing and creating great customer experiences.
What is a Creative Date Scientist (and why the $@%! do we need one?)Dave LaFontaine
This presentation was originally delivered to the SoCal UX Camp; it's designed to help "creatives" to get over their numbers-phobia, and instead start engaging with analytics.
This document summarizes common analytic mistakes made in business intelligence projects. It discusses mistakes such as not asking the right questions, focusing on past metrics rather than future needs, misunderstanding metrics and their methodology, bottlenecking the value of analytics to the organization, overvaluing data visualization, compromising data through consensus, confusing insight with the ability to take action, and more. The document provides examples and recommendations to avoid these common mistakes in analytics projects.
This document discusses 5 limitations of spreadsheets for data analysis and visualization and provides alternatives:
1. Spreadsheets can't handle large, diverse datasets from multiple sources like databases and data warehouses. Integrating and analyzing all relevant data is important for accurate insights.
2. Complex calculations and macros can slow down spreadsheets, wasting time. Connecting to live data sources allows fast analysis of large datasets.
3. Blending and cleaning data from different sources is difficult in spreadsheets. Joining datasets on common fields provides a unified view.
4. Spreadsheets offer limited basic charts but advanced visualizations like maps and dashboards provide faster, more intuitive understanding.
5. Interactive dashboards with up
Everything you ever wanted to know about Google Analytics, but were afraid to...SoCal UX Camp
Event: SoCal UX Camp 2016
Presented by: David LaFontaine
This is a hands-on exploration on how to move beyond the basics with Google Analytics. Why should designers have to deal with all these confusing spreadsheets, numbers, charts and graphs?
Well, without at least a decent grasp of how to read web analytics, creative professionals are going to continue to lose control of their creations, because to decision-makers, the charts and graphs and spreadsheets seem to be the very essence of unassailable logic. Worse,designers will lose out on the opportunity to make what their sites better, by gaining insights into the needs, desires and motivations of their users.
Too many digital experiences are being carefully crafted by UX Designers to "surprise and delight" users -- only to lose that human essence at the end, when final decisions are made, based solely upon surface-level analysis of audience behavior.
It need not be so. In fact, we desperately need to start putting the "human touch" back into what we create. Because the alternative is just so much over-processed brainmush. Slideshows, listicles and clickbait are not what we were put on this earth to create nor consume.
This document provides an introduction to various machine learning techniques that can be used to gain insights from large amounts of data, including LOESS for data smoothing, K-Means clustering, latent semantic indexing, naive Bayesian classifiers, decision trees, and discusses the challenge of dimensionality. It uses examples like analyzing book metadata and customer reviews to demonstrate how these techniques can be applied. The goal is to give Ruby developers an overview of basic machine learning concepts that could help their applications.
Facility Quest is a platform for running various types of workplace assessments. Global architecture firms use FacilityQuest to perform hundreds of space utilization projects for their clients, gathering, analyzing, and communicating occupancy and usage patterns as part of workplace strategy projects.
This document provides an introduction to designing infographics. It discusses what infographics are and why they are useful for sharing information visually. It then covers best practices for building infographics, including choosing a design team, getting started on a storyboard, selecting an appropriate format, and choosing visualization tools. The document concludes with guidance on disseminating and evaluating infographics.
An Infographics on How to Make InfographicsAyman Sadiq
Information graphics or infographics are graphic visual representations of information, data or knowledge. These graphics present complex information quickly and clearly, such as in signs, maps, journalism, technical writing, and education. With an information graphic, computer scientists, mathematicians, and statisticians develop and communicate concepts using a single symbol to process information.
With the trend of using the internet to convey information to millions of people worldwide, it also becomes a challenge on how you can effectively communicate to the people with your contents. Making one’s content eye-catching and easy to understand is not an easy task. You need to dig deeper into a topic and look for ways to present it in a manner that you could outshine your competitors. It is not just you who have thought of writing or presenting a particular topic. There are thousands of people who are also posting the same. The challenge is for you to make it unique and more attractive. This is where infographics come in. Infographics are visual representations of information, data or knowledge. It is an important tool in teaching, in business, in giving inspiration and in presenting information. It is one of the most powerful ways to communicate with complex data.
This document discusses infographics and why geographers should study them. It defines infographics as visual representations of information intended to present data clearly and quickly. Infographics can help geographers more easily understand and analyze patterns and trends. The document outlines the key elements of infographics as the visual, content, and knowledge. It then describes different types of geographic infographics such as data visualization, maps, comparisons, visual articles, timelines, lists, and processes.
How can you use infographics as a teaching tool? How can you go further and inspire your students to make infographics to show what they have learned? This presentation will help take you down that path to bring infographics into your elementary, middle or high school classroom.
This document provides an overview of popular programming languages used for data visualization, including R, MATLAB, and Scala. R is widely used for statistical analysis and creating visualizations like scatter plots, histograms, and heat maps. MATLAB is specialized for numerical computing but is expensive. Scala is free and suitable for large datasets when used with Apache Spark, but has a complex syntax. The document examines the advantages and disadvantages of each language for data visualization applications.
This document discusses dashboard design. It begins by proposing a cycling app dashboard to track distance, top speed, and calories burned. It then defines dashboards and discusses trends in using them for predictive analytics. The main kinds of dashboards are interactive, allowing changes, and non-interactive for historical data. Data-ink ratio principles for effective data visualization are introduced. Design rules, gestalt principles, and visual hierarchy techniques like color, scale, position and balance are covered. Activities propose guessing dashboard kinds and purposes and redesigning graphs applying these principles. Homework assigns reading about dashboard design and creating one for an app.
A New Feature For Mind Mapping SoftwareThomas Teepe
The document proposes a new feature for mind mapping software called tool maps. Tool maps would provide help and templates directly in the mind map. Users could access a secondary "help map" containing analysis, assessment, creativity, and planning tools. These tools could then be copied over to the main map. The tool maps feature would offer advantages like user-friendly tutoring, acting as a reminder of problem-solving techniques, and transforming information from books into working knowledge that is easily accessible. Various applications of tool maps are discussed for topics like project planning, consulting, studying, and more.
This document provides a comprehensive guide to data visualization. It discusses the different types of visualization techniques available, how to choose the right type of visualization for your data and message, and tips for effective data visualization design. Specific visualization types covered include line graphs, bar charts, pie charts and dashboards/reports. The document also discusses common mistakes to avoid and strategies for labeling axes, handling color, mixing chart types, and using annotations to guide readers.
E Source JourneyHub is an intuitive, interactive, and collaborative web-based tool that allows utilities to easily map their customer touchpoints and to better understand how customers interact with and feel about their utility companies.
Digital analytics: Wrap-up (Lecture 12)Joni Salminen
The document provides information about a 3-week digital analytics program at Aalto University taught by Dr. Joni Salminen. The first week introduces basics of analytics using Google Analytics and covers metrics and dashboards. The second and third weeks focus on optimization, A/B testing, cohort analysis, visualization, and algorithm-based marketing. Students will learn to choose relevant metrics, manage analytics projects, perform website audits, and make better business decisions using data. The document emphasizes learning tools like Google Analytics, Tableau, and R, and continuing education after the program.
The document summarizes different low-cost methods for conducting user research on web products with limited resources. It discusses using heatmapping and analytics tools to evaluate existing use, as well as virtual usability testing, guerrilla testing, and microfeedback forms to gather user experience feedback during the design process. Specific tools mentioned include CrazyEgg, Google Analytics, Usabilla, and building your own microfeedback forms. Examples are provided from a case study of redesigning a university library website.
Data visualization refers to visually representing data through charts, graphs, and other images to more easily identify patterns and insights. It is an important tool for understanding data, communicating findings to others, and making informed decisions. Effective data visualization requires choosing the right type of visual based on the data, ensuring the data is accurate and from a reliable source, and using the visualization to tell a story or answer key questions. There are many tools available for creating data visualizations, from Excel and Google Sheets for basic charts to more advanced options like Tableau and Photoshop.
AMIA 2015 Visual Analytics in Healthcare Tutorial Part 1David Gotz
A concise introduction to the topic of visualization. Designed for beginners with no prior experience with visualization. These slides were the first part of a half-day tutorial on Visual Analytics held in conjunction with the 2015 AMIA Annual Symposium. It was sponsored by the AMIA Visual Analytics Working Group. For more information, please see www.visualanalyticshealthcare.org or contact the author of the slides: David Gotz @ http://gotz.web.unc.edu
This document provides an overview of customer journey mapping and how to build an effective customer journey map. It discusses getting started with mapping, different mapping frameworks and approaches, key considerations when mapping, and how to analyze insights and use the map to improve customer experiences. The goal is to help readers understand customer journey mapping and have success designing and creating great customer experiences.
What is a Creative Date Scientist (and why the $@%! do we need one?)Dave LaFontaine
This presentation was originally delivered to the SoCal UX Camp; it's designed to help "creatives" to get over their numbers-phobia, and instead start engaging with analytics.
This document summarizes common analytic mistakes made in business intelligence projects. It discusses mistakes such as not asking the right questions, focusing on past metrics rather than future needs, misunderstanding metrics and their methodology, bottlenecking the value of analytics to the organization, overvaluing data visualization, compromising data through consensus, confusing insight with the ability to take action, and more. The document provides examples and recommendations to avoid these common mistakes in analytics projects.
This document discusses 5 limitations of spreadsheets for data analysis and visualization and provides alternatives:
1. Spreadsheets can't handle large, diverse datasets from multiple sources like databases and data warehouses. Integrating and analyzing all relevant data is important for accurate insights.
2. Complex calculations and macros can slow down spreadsheets, wasting time. Connecting to live data sources allows fast analysis of large datasets.
3. Blending and cleaning data from different sources is difficult in spreadsheets. Joining datasets on common fields provides a unified view.
4. Spreadsheets offer limited basic charts but advanced visualizations like maps and dashboards provide faster, more intuitive understanding.
5. Interactive dashboards with up
Everything you ever wanted to know about Google Analytics, but were afraid to...SoCal UX Camp
Event: SoCal UX Camp 2016
Presented by: David LaFontaine
This is a hands-on exploration on how to move beyond the basics with Google Analytics. Why should designers have to deal with all these confusing spreadsheets, numbers, charts and graphs?
Well, without at least a decent grasp of how to read web analytics, creative professionals are going to continue to lose control of their creations, because to decision-makers, the charts and graphs and spreadsheets seem to be the very essence of unassailable logic. Worse,designers will lose out on the opportunity to make what their sites better, by gaining insights into the needs, desires and motivations of their users.
Too many digital experiences are being carefully crafted by UX Designers to "surprise and delight" users -- only to lose that human essence at the end, when final decisions are made, based solely upon surface-level analysis of audience behavior.
It need not be so. In fact, we desperately need to start putting the "human touch" back into what we create. Because the alternative is just so much over-processed brainmush. Slideshows, listicles and clickbait are not what we were put on this earth to create nor consume.
This document provides an introduction to various machine learning techniques that can be used to gain insights from large amounts of data, including LOESS for data smoothing, K-Means clustering, latent semantic indexing, naive Bayesian classifiers, decision trees, and discusses the challenge of dimensionality. It uses examples like analyzing book metadata and customer reviews to demonstrate how these techniques can be applied. The goal is to give Ruby developers an overview of basic machine learning concepts that could help their applications.
Scanning Between Graph Visualizations: An Eye Tracking Evaluation.BELIV Workshop
The document discusses using eye tracking methods to evaluate different types of information graphics and compare their effectiveness. It describes challenges with eye tracking practices and analysis. An eye tracking study was conducted comparing bar, line and spider graphs on tasks of relative comparison across multiple dimensions within and between graphs. The results showed completion times included scanning, decision making and validation. Different scanning strategies also emerged between graph types like more reciprocal scanning for spider graphs versus viewing one bar graph fully before the other. Questions are raised on best practices for eye tracking evaluation methods and representation of results.
Visual Data Collection - Mike Morgan - REcon 18UX INXS
Mike Morgan presented a method called visual data collection for taking structured notes during user research. It involves creating visual guides with screenshots of prototypes and predefined annotation symbols to log participant actions and feedback. Data from multiple participants is aggregated into a tally sheet using visual connectors to identify patterns. The method aims to help researchers stay focused on goals and analyze data faster. Attendees watched a demo then tried annotating a prototype themselves to experience the benefits of visual structuring for note-taking.
Similar to Data visualization training session HELCOM (20)
Getting data for maritime spatial planning is dificult!Manuel Frias
I gave a 10 min presentation about BASEMAPS, an output of the Baltic LINes project at the 2nd international MSP forum in La Reunion, March 26-29 2019.
The presentation has been adapted to Slideshare.
How HELCOM developed a tool to access decentralized Maritime Spatial Planning data based on a Marine Spatial Data Infrastructure.
An adapted 8 min presentation I gave the 13th February at the BalticLINes final conference "Connecting Seas"
Presentation training session at HELCOMManuel Frias
This document summarizes a presentation training session that was held to discuss improving presentation skills. The session was divided into three parts: 1) an activity where participants defined characteristics of a good presentation by writing ideas on post-its, 2) a discussion of basic tips for preparing presentations such as considering the audience and telling a story with a clear beginning, middle, and end, and 3) examples of how to design presentation slides better by reducing clutter. There will be a follow up session focused on designing slides in PowerPoint.
How to achieve a sustainable Baltic Sea with the help of GIS (and ESRI)Manuel Frias
The document discusses the state of the Baltic Sea and the work of HELCOM to protect it. It notes that while nitrogen and phosphorus loads into the sea have decreased significantly since HELCOM began its activities in 1974, water clarity has not notably improved. The state of the Baltic Sea report indicates that inputs of nutrients from land are still affecting some sub-basins, contaminant levels remain elevated, and many species and habitats are in inadequate condition. Overall progress has been made to reduce pollution but more work remains to be done to fully restore the health of the fragile Baltic Sea ecosystem.
I gave this presentation during the 1st seminar on the use of AIS data. AIS is a tracking system ships have for safety reasons. HELCOM has gathered the data of all HELCOM countries for 10 years. Until now, the regional datasets have not been fully utilized.
The Interreg project Baltic LINes (2016-2019) aims at developing planning proposals for linear infrastructures (cables and pipelines), fixed installations and shipping lanes.
The role of HELCOM is to develop the first prototype Baltic Marine Spatial Data Infrastructure (MSDI), a system to access data from original providers.
I gave this presentation in the 2nd Baltic MSP Forum in Riga in November 2016.
In our last Baltic LINes partner meeting in Helsinki in March 2017, HELCOM asked partners to add the name tag of each layer in all WMS services. This is very important to design the prototype MSDI.
From the Baltic Sea to South Africa - Shipping traffic density maps to Baltic...Manuel Frias
The document discusses shipping traffic density maps created from Automatic Identification System (AIS) data collected in the Baltic Sea region by the Baltic Scope project. It explains that density maps were created by counting the number of ships crossing 1km grid cells over a given time period and applying a color gradient to represent traffic density. One year of AIS data contains over 1.3 billion rows of data, which if printed would require 30 million pages of paper and stretch from the Baltic Sea to South Africa if placed end to end. The maps provide visualizations of shipping traffic densities in the Baltic Sea region from 2005 to 2014 broken down by vessel type.
Changing the data visualization cultureManuel Frias
Manuel Frias is working to change the data visualization culture at HELCOM, where he has worked for 6 years. He became interested in data visualization after seeing books on the topic and realized there was room for improvement. His mission is to challenge traditional views that scientists and policymakers don't need to pay special attention to visualization. Some obstacles include perceptions that simplifying means dumbing down and that people don't know how to draw. Frias is using subtle strategies like putting design books in communal areas and including more graphs in reports to gradually influence the culture over time.
Working with Maritime Spatial Planning in the Baltic Sea - reasons to be opti...Manuel Frias
This presentation was part of the Erasmus Mundus Maritime Spatial Planning course in Seville January 2015. I tried to give students reasons to be optimist about their professional future.
Maritime Spatial Planning in the BalticSea - a love storyManuel Frias
This document discusses marine spatial planning (MSP) in the Baltic Sea region. It references the Baltic Sea Action Plan goal to achieve good environmental status by 2021 and the VASAB goal to develop MSP principles based on the ecosystem approach by 2010. It also lists the 10 broad-scale MSP principles developed by HELCOM, including sustainable management, ecosystem approach, and transnational coordination. The document suggests HELCOM and VASAB provide a forum for dialogue to achieve coherent MSP across the Baltic Sea and that findings from MSP projects should be utilized. It notes that MSP is still in its infancy and that developing coherent plans is challenging due to the diverse backgrounds of those involved.
This presentation was part of the Erasmus Mundus Maritime Spatial Planning course in Seville January 2015. It is about the story of HELCOM - what is it, how does it protect the Baltic and why.
HELCOM-VASAB group makes Maritime Spatial Planning a reality in the Baltic SeaManuel Frias
HELCOM and VASAB are two well-established intergovernmental organizations which work together for a better Maritime Spatial Plannign in the Baltic Sea.
This presentation was given at the SeaGIS final conference event in Vasa, Finland the 2 August 2014
Working with Maritime Spatial PlanningManuel Frias
Presentation for the Erasmus Mundus Master on MSP in Seville (Spain) in February 2014. The aim of the talk was to describe briefly how countries work work MSP in the Baltic Sea and to show some experiences of professionals working with different tasks related to Maritime Spatial Planning
Why do we do Maritime Spatial Planning in the Baltic Sea? The Plan Bothnia te...Manuel Frias
Presentation about Maritime Spatial Planning in the Baltic Sea and the Plan Bothnia test case. I gave it as part of the Erasmus Mundus Master Course on Maritime Spatial Planning in Seville (Spain) 3-6 February 2014
Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey ...SirmaDuztepeliler
"Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey Toward Sustainability"
The booklet of my master’s thesis at the Department of Architecture and Civil Engineering at Chalmers University of Technology. (Gothenburg, Sweden)
This thesis explores the transformation of the vacated (2023) IKEA store in Kållered, Sweden, into a "Reuse Hub" addressing various user types. The project aims to create a model for circular and sustainable economic practices that promote resource efficiency, waste reduction, and a shift in societal overconsumption patterns.
Reuse, though crucial in the circular economy, is one of the least studied areas. Most materials with reuse potential, especially in the construction sector, are recycled (downcycled), causing a greater loss of resources and energy. My project addresses barriers to reuse, such as difficult access to materials, storage, and logistics issues.
Aims:
• Enhancing Access to Reclaimed Materials: Creating a hub for reclaimed construction materials for both institutional and individual needs.
• Promoting Circular Economy: Showcasing the potential and variety of reusable materials and how they can drive a circular economy.
• Fostering Community Engagement: Developing spaces for social interaction around reuse-focused stores and workshops.
• Raising Awareness: Transforming a former consumerist symbol into a center for circular practices.
Highlights:
• The project emphasizes cross-sector collaboration with producers and wholesalers to repurpose surplus materials before they enter the recycling phase.
• This project can serve as a prototype for reusing many idle commercial buildings in different scales and sizes.
• The findings indicate that transforming large vacant properties can support sustainable practices and present an economically attractive business model with high social returns at the same time.
• It highlights the potential of how sustainable practices in the construction sector can drive societal change.
Best Digital Marketing Strategy Build Your Online Presence 2024.pptxpavankumarpayexelsol
This presentation provides a comprehensive guide to the best digital marketing strategies for 2024, focusing on enhancing your online presence. Key topics include understanding and targeting your audience, building a user-friendly and mobile-responsive website, leveraging the power of social media platforms, optimizing content for search engines, and using email marketing to foster direct engagement. By adopting these strategies, you can increase brand visibility, drive traffic, generate leads, and ultimately boost sales, ensuring your business thrives in the competitive digital landscape.
RPWORLD offers custom injection molding service to help customers develop products ramping up from prototypeing to end-use production. We can deliver your on-demand parts in as fast as 7 days.
5. Then, I started to become
interested in data visualization
and realized that this was not
the best way to visualize data
6. Alberto Cairo, 2016: The truthful art
A data visualization should be
Truthful—it must not lie
Functional—you can perform basic operations like compare
Beautiful—it must be pleasant to your eyes
Insightful—you should learn something from the graph
Enlightening—it opens your eyes
27. Enable
accurate
comparisons
Enable
general
comparisons
Position along common scale
Position along common but
unaligned scales
Length
Angle
Area
Volume
Shading
Hue
Cleveland, McGill, 1984 adapted from
Alberto Cairo, 2016: The truthful art
This scale is from, perhaps,
the most famous paper in
data visualization
28. Let’s put it in practice.What’s
the best way to compare this
data?
37. However, I don't think they
are always bad.
The next slide was shown at the Plan Bothnia
project final conference.We wanted to show
how much time we spent working on the
project.