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    The package enables the user to use beamer style operations on a canvas of the sizes provided by a0poster; font scaling is available (using packages such as type1cm if necessary). In addition, the package allows the user to benefit from the nice colour box handling and alignment provided by the beamer class (for example, with rounded corners and shadows). Good looking posters may be created very rapidly. Features include: scalable fonts using the fp and type1cm packages; posters in A-series sizes, and custom sizes like double A0 are possible; still applicable to custom beamer slides, e.g. 16:9 slides for a wide-screen (i.e. 1.78 aspect ratio); orientation may be portrait or landscape; a ‘debug mode’ is provided.
    12 years ago by @thorade
     
      TeXpackagesoftwarevectorvisualization
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      Digitizing software for converting graphs and maps into numbers. Image files from scanners, digital cameras and screenshots are easily converted, and exported into spreadsheets. Introduction This open source, digitizing software converts an image file showing a graph or map, into numbers. The image file can come from a scanner, digital camera or screenshot. The numbers can be read on the screen, and written or copied to a spreadsheet. The process starts with an image file containing a graph or map. The final result is digitized data that can be used by other tools such as Microsoft Excel and Gnumeric. Engauge (from en "make" and gauge "to measure") verb meaning to convert an image file containing a graph or map, into numbers. The term "Engauge" in Engauge Digitizer was invented for this project, since there seems to be no similar term in common use. Why Would You Need This Tool? Here are some real-life examples: You are an engineer with some graphs in decades-old documents, but you really need the numbers represented in those graphs so you can do analyses that will determine if a space vehicle is safe to fly. You are a graduate student gathering historical data from charts for your thesis. You are a webmaster with visitor statistics charts and you want to do statistical analyses. You ride a bike or boat and want to know how much distance you covered in your last trip, but you do not have an odometer or GPS unit. However, you do have a map. Nice Features Automatic curve tracing of line plots Automatic point matching of point plots Automatic axes matching Automatic grid line removal for improved curve tracing Handles cartesian, polar, linear and logarithmic graphs Support for drag-and-drop and copy-and-paste makes data transfer fast and easy Image processing tools highlight data by removing grid lines and backgrounds Status bar suggestions guide beginners Context sensitive popup help windows reveal explain feature of the user interface Tutorials with pictures explain strategies for common operations Browser-based user manual is extensive yet easy to navigate Preview windows give immediate feedback while modifying settings Dates and times are imported with the Date/Time Converter Import support for common image file formats such as BMP, GIF, JPEG, PNG and XPM Export support for common software packages such as Microsoft Excel, OpenOffice CALC, gnuplot, gnumeric, MATLAB and Mathematica Engauge is available for a wide variety of platforms (Linux, Mac OSX, Windows) Engauge Digitizer is completely open source and free courtesy of Sourceforge, Trolltech and FFTW
      12 years ago by @thorade
       
        open-sourcesoftwarevisualization
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        ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and none of the bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics.
        13 years ago by @thorade
         
          mathematicsRvisualization
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          RKWard is meant to become an easy to use, transparent frontend to the R-language, a very powerful, yet hard-to-get-into scripting-language with a strong focus on statistic functions. It will not only provide a convenient user-interface, however, but also take care of seamless integration with an office-suite. Practical statistics is not just about calculating, after all, but also about documenting and ultimately publishing the results.
          13 years ago by @thorade
           
            Rmathematicsopen-sourcesoftwarevisualization
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            14 years ago by @thorade
             
              mathematicssoftwarevisualizationopen-source
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              KmPlot is a mathematical function plotter for the KDE-Desktop. It has built in a powerfull parser. You can plot different functions simultaneously and combine their function terms to build new functions. KmPlot supports functions with parameters and functions in polar coordinates. Several grid modes are possible. Plots may be printed with high precision in correct scale.
              14 years ago by @thorade
               
                softwarevisualizationmathematicsopen-source
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                matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala matlab or mathematica), web application servers, and six graphical user interface toolkits. matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code. For a sampling, see the screenshots, thumbnail gallery, and examples directory
                14 years ago by @thorade
                 
                  Pythonmathematicsopen-sourcesoftwarevisualization
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                  R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. R is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.
                  14 years ago by @thorade
                   
                    Ranalysismathematicsmodellingopen-sourcesoftwarevisualization
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                    ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.
                    14 years ago by @thorade
                     
                      softwarevisualizationopen-source
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                      The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing and visualization. VTK consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python. Kitware, whose team created and continues to extend the toolkit, offers professional support and consulting services for VTK. VTK supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk. VTK is cross-platform and runs on Linux, Windows, Mac and Unix platforms.
                      15 years ago by @thorade
                       
                        softwarevisualizationopen-source
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