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109 recipes to create scalable vector graphics with Inkscape

Inkscape (Electronic resource) --- SVG (Document markup language) --- Computer graphics.

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The desire to have access to information at all times, while at the same time being informed automatically is the driving force behind this thesis. The goal is to bring an existing dashboard to mobile devices and to research algorithms that find outliers in timeseries.Because the dasboard is only used by a small number of people it is important to find a cheap and maintainable solution for the mobile dashboard. This has been achieved by using the HTML5 standard in combination with SVG and media queries to transform the dashboard into a webapp.When outliers are detected in specific metrics the qualified persons are alerted. However, the current solution generates too much alerts. These metrics are made of hourly measurements of activities on the products of Massive Media. With linear regression the dataset is decomposed in a trend and seasonal component. The remainder is assumed to fit a normal distribution. Outliers can then be found and reported by using a robust measurement for variation like the Median Absolute Deviation (MAD).This method finds outliers in the data that are undetectable with the naked eye and finds 40% less outliers than the currently used method. Vandaag de dag wordt er verwacht dat informatie op elk moment beschikbaar is, waarbij men tegelijkertijd proactief wordt geïnformeerd. Het doel van deze scriptie is dan ook een bestaand dashboard op mobiele toestellen brengen en algoritmen onderzoeken die uitschieters in data ontdekken.Door het beperkt publiek dat het dashboard gebruikt is het van belang een goedkope en onderhoudbare oplossing te vinden. Dit wordt bereikt door gebruik te maken van de nieuwe HTML5 standaard in combinatie met Scalable Vector Graphics (SVG) en media queries om het dashboard om te vormen tot een webapp.Wanneer uitschieters in data voorkomen worden de bevoegde personen verwittigd. De huidige oplossing genereert echter te veel alerts. De datasets bestaan uit uurgebonden metingen van activiteiten op de producten van Massive Media. Door deze te ontbinden in een trend- en seizoensbeweging met behulp van lineaire regressie, wordt de restcomponent bepaald waarvan we veronderstellen dat die normaal verdeeld is. Uitschieters kunnen vervolgens met behulp van robuste statistische methoden, zoals de Mediaan Absolute Deviatie (MAD), ontdekt en gerapporteerd worden.De nieuwe implementatie vindt uitschieters in de data die onmogelijk te vinden zijn met het blote oog en geeft ongeveer 40% minder uitschieters dan de bestaande methode.

Algoritme - algorithm. --- CSS - CSS. --- Dashboard. --- HTML5. --- JavaScript - JavaScript. --- Lineaire regressie. --- MAD. --- Media queries. --- Optimalisatie - optimization. --- Python. --- SVG. --- Webapplicatie - web application.

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gis --- GIS --- geodesie --- xml (extensible markup language) --- gml (geography markup language) --- svg (scalable vector graphics) --- referentiesysteem --- geomatica --- datastructuur --- modellering --- georeferentie --- geocoding --- geometrisch basisbestand --- rasterdata --- geografisch informatiesysteem --- (zie ook: geografisch informatiesysteem) --- (zie ook: modelvorming) --- (zie ook: gis)

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This book introduces you to the exciting world of generative art (artwork that are solely or partially created with the use of an autonomous system) through the medium of SVG and JavaScript. More specifically, it will teach the use of Graphery SVG (gySVG), a JavaScript library that closely mirrors the SVG spec and makes scripting SVG very intuitive and enjoyable. Armed with gySVG, the reader will be taught tried and trusted techniques in producing generative imagery. Each chapter will build upon the previous one, and those completely new to programming will be given a primer to help them find their feet. Beginning with a simple generative sketch that illustrates, and then explains, fundamental programming concepts such as variables, data types, operators, loops, conditionals and functions - the reader will go on to explore the power of Scalable Vector Graphics, how to play with randomness and regularity, how to use noise to create organic variance, and how to make sketches interactive and dynamic. More advanced topics will then be tackled, such as paths, filter effects, trigonometry, shape packing, flow fields and fractals. It will be a fun journey, easy to follow, peppered with plenty of attractive sketches throughout. The goal will be to visually inspire readers with compelling examples of what’s possible - rather than bare-bones, make-do illustrations - thereby breathing life into the underlying theoretical concepts. You Will Learn: What generative art is and its creative process How to use the gySVG library locally with Node.js or online via Codepen To consolidate JavaScript fundamentals, using modern ES6+ syntax Create a variety of SVG shapes generatively Create iterative variations of sketches by randomizing parameters How to use noise to create organic variance Create complex SVG paths generatively How to make sketches interactive.

Internet programming. --- Graphic arts. --- User interfaces (Computer systems). --- Human-computer interaction. --- Image processing --- Computer vision. --- Web Development. --- Graphic Design. --- User Interfaces and Human Computer Interaction. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Digital techniques. --- Generative art. --- JavaScript (Computer program language) --- SVG (Document markup language)

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Correcting the Great Mistake People often mistake one thing for another. That’s human nature. However, one would expect the leaders in a particular field of endeavour to have superior abilities to discriminate among the developments within that field. That is why it is so perplexing that the technology elite – supposedly savvy folk such as software developers, marketers and businessmen – have continually mistaken Web-based graphics for something it is not. The first great graphics technology for the Web, VRML, has been mistaken for something else since its inception. Viewed variously as a game system, a format for architectural walkthroughs, a platform for multi-user chat and an augmentation of reality, VRML may qualify as the least understood invention in the history of information technology. Perhaps it is so because when VRML was originally introduced it was touted as a tool for putting the shopping malls of the world online, at once prosaic and horrifyingly mundane to those of us who were developing it. Perhaps those first two initials, “VR”, created expectations of sprawling, photorealistic fantasy landscapes for exploration and play across the Web. Or perhaps the magnitude of the invention was simply too great to be understood at the time by the many, ironically even by those spending the money to underwrite its development. Regardless of the reasons, VRML suffered in the mainstream as it was twisted to meet unintended ends and stretched far beyond its limitations.

Computer graphics. --- SVG (Document markup language) --- XML (Document markup language) --- Semantic Web. --- Information visualization. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Digital techniques --- Data visualization --- Visualization of information --- Information science --- Visual analytics --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Extendible Markup Language (Document markup language) --- eXtensible Markup Language (Document markup language) --- Document markup languages --- Scalable Vector Graphics (Document markup language) --- XML --- Computer science. --- Multimedia systems. --- Optical pattern recognition. --- User Interfaces and Human Computer Interaction. --- Multimedia Information Systems. --- Computer Graphics. --- Information Systems Applications (incl. Internet). --- Pattern Recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Informatics --- Science --- User interfaces (Computer systems). --- Multimedia information systems. --- Application software. --- Pattern recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction