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Chilipp/psyplot-conda v1.1.0
No full text<p>psyplot-conda v1.1.0 provides new installers for <a href="https://psyplot.readthedocs.io">psyplot</a>, <a href="https://psyplot.readthedocs.io/projects/psyplot-gui">psyplot-gui</a>, <a href="https://psyplot.readthedocs.io/projects/psy-simple">psy-simple</a>, <a href="https://psyplot.readthedocs.io/projects/psy-simple">psy-maps</a> and <a href="https://psyplot.readthedocs.io/projects/psy-reg">psy-reg</a> of the versions v1.1.0.</p>
<p>Besides others, these new versions especially provide new <a href="http://xarray.pydata.org/en/stable/internals.html#extending-xarray">xarray accessors</a> and better widgets for the GUI. For more details, look into the changelogs of the corresponding packages.</p>The author thanks the Swiss National Science Foundation (SNF) for their support. Funding for the author came from the HORNET grant (200021_169598)
Chilipp/psyplot-conda: v1.0.1: Conda installers for psyplot - The interactive visualization framework
No full text<p>psyplot-conda provides standalone installers for the psyplot interactive visualization framework.</p>
<p><strong>psyplot</strong> is an open source python project that mainly combines the plotting utilities of matplotlib (Hunter, 2007) and the data management of the xarray package (Hoyer & Hamman, 2017). The main purpose is to have a framework that allows a fast, attractive, flexible, easily applicable, easily reproducible and especially an interactive visualization of your data.</p>
<p>The ultimate goal is to help scientists and especially climate model developers in their daily work by providing a flexible visualization tool that can be enhanced by their own visualization scripts. psyplot can be used through the python command line and through the psyplot-gui module which provides a graphical user interface for an easier interactive usage.</p>
<p>These installers contains all necessary dependencies for psyplot, psyplot-gui, psy-simple, psy-maps and psy-reg plus the conda package for managing virtual environments. The installers have been created using using the conda constructor package and the packages from the conda-forge channel.</p>
<p>Other ways to install psyplot can be found in the psyplot docs: http://psyplot.readthedocs.io</p>
<p><strong>Source files</strong></p>
<p>These files contain the source python code for the psyplot-conda repository (tag v1.0.1) and it's submodules psyplot (tag v1.0.0), psy-simple (tag v1.0.0), psy-maps (tag v1.0.0), psy-reg (tag v1.0.0) and psyplot-gui (tag v1.0.1).</p>
<ul>
<li><strong>psyplot-conda-1.0.1.zip</strong>: The zipped source files including reference figures for psy-simple and psy-maps</li>
<li><strong>psyplot-conda-1.0.1-no-refs.zip</strong>: The zipped source files without reference figures</li>
</ul>
<p><strong>Documentation files</strong></p>
<p>These files contain the documentation for psyplot, psy-maps, psy-reg, psy-simple and psyplot-gui from http://psyplot.readthedocs.io/en/latest/, downloaded on August, 21st, 2017.</p>
<ul>
<li><strong>docs-epub.zip</strong>: Documentation files in epub format</li>
<li><strong>docs-pdf.zip</strong>: Documentation files in pdf format</li>
<li><strong>docs-html.zip</strong>: Documentation files in html format</li>
</ul>
<p><strong>Standalone installers</strong></p>
<p>These installers have been created using the conda constructor package and can be used to install psyplot, psy-simple, psy-maps, psy-reg and psyplot-gui. Installation instructions can be found in the Additional Notes.</p>
<ul>
<li><strong>psyplot-conda-1.0.1-Linux-x86-64.sh</strong>: Bash installer for 64-bit Linux systems</li>
<li><strong>psyplot-conda-1.0.1-MacOSX-x86-64.sh</strong>: Bash installer for 64-bit Mac OS X systems</li>
<li><strong>psyplot-conda-1.0.1-MacOSX-x86-64.pkg</strong>: Package installer for 64-bit Mac OS X systems</li>
<li><strong>psyplot-conda-1.0.1-Windows-x86-64.exe</strong>: Windows installer for 64-bit systems</li>
<li><strong>psyplot-conda-1.0.1-Windows-x86.exe</strong>: Windows installer for 32-bit systems</li>
<li><strong>psyplot-conda-1.0.1-Windows-no-shortcut-x86-64.exe</strong>: Windows installer for 64-bit systems without menu shortcut</li>
<li><strong>psyplot-conda-1.0.1-Windows-no-shortcut-x86.exe</strong>: Windows installer for 32-bit systems without menu shortcut</li>
</ul>
<p><strong>Packages</strong></p>
<p>These files contain packages for psyplot (1.0.0.post1), psy-simple (1.0.0), psy-maps (1.0.0), psy-reg (1.0.0) and psyplot-gui (1.0.1).</p>
<ul>
<li><strong>python-packages.zip</strong>: Python packages from pipy.org</li>
<li><strong>conda-packages.zip</strong>: Conda packages from https://anaconda.org/conda-forge</li>
</ul>
<p> </p>
<p><strong>Installation instructions for standalone installers</strong></p>
<p><strong>Installation on Linux</strong></p>
<p>Download the bash script and open a terminal window.</p>
<p>Type:</p>
<p>bash '<path-to-the-downloaded-file.sh>'</p>
<p>and simply follow the instructions.</p>
<p>For more information on the command line options type:</p>
<p>bash '<Path-to-the-downloaded-file.sh>' --help</p>
<p>It will ask you, whether you want to add a psyplot alias to your .bashrc, such that you can easily start the terminal and type psyplot to start the GUI. You can avoid this by setting NO_PSYPLOT_ALIAS=1. Hence, to install psyplot-conda without any terminal interaction, run:</p>
<p>NO_PSYPLOT_ALIAS=1 bash '<Path-to-the-downloaded-file.sh>' -b -p <target-path></p>
<p><strong>Uninstallation on Linux</strong></p>
<p>Just delete the folder where you installed psyplot-conda. By default, this is HOME/psyplot-conda, so just type:</p>
<p>rm -rf HOME/psyplot-conda</p>
<p>If you added a psyplot alias to your .bashrc or chose to add the bin directory to your PATH variable during the installation, open your HOME/.bashrc in an editor of your choice and delete those parts.</p>
<p><strong>Installation on OS X</strong></p>
<p>You can either install it from the terminal using a bash-script (.sh file), or you can install a standalone app using an installer (.pkg file).</p>
<p>The bash script will install a conda installation in your desired location. Both will create a Psyplot.app (see below).</p>
<p><strong>Installation using the OS X package</strong></p>
<p>This should be straight-forward, however Apple does not provide free Developer IDs for open-source developers. Therefore our installers are not signed and you have to give the permissions to open the files manually. The 4 steps below describe the process.</p>
<ol>
<li>Just download the .pkg file</li>
<li>To open it, you have to</li>
</ol>
<p> Right-click on the file, then Open With, then Installer. In the appearing window, click the Open button.</p>
<ol>
<li>Follow the instructions. It will create a Psyplot.app in the specified location.</li>
<li>To open the app the first time, change to the chosen installation directory for the App (by default HOME/Applications), right-click the Psyplot app and click on Open. In the appearing window, again click on Open.</li>
</ol>
<p><strong>Installation using the bash script</strong></p>
<p>Download the bash script (file ending on '.sh' for MacOSX) and open a terminal window.</p>
<p>Type:</p>
<p>bash '<path-to-the-downloaded-file.sh>'</p>
<p>and simply follow the instructions.</p>
<p>For more informations on the command line options type:</p>
<p>bash '<Path-to-the-downloaded-file.sh>' --help</p>
<p>By default, the installer asks whether you want to install a Psyplot.app into your Applications directory. You can avoid this be setting NO_PSYPLOT_APP=1.</p>
<p>Furthermore it will ask you, whether you want to add a psyplot alias to your .bash_profile, such that you can easily start the terminal and type psyplot to start the GUI. You can avoid this by setting NO_PSYPLOT_ALIAS=1. Hence, to install psyplot-conda without any terminal interaction, run:</p>
<p>NO_PSYPLOT_APP=1 NO_PSYPLOT_ALIAS=1 bash '<Path-to-the-downloaded-file.sh>' -b -p <target-path></p>
<p><strong>Uninstallation on OSX</strong></p>
<p>The uninstallation depends on whether you have used the package installer or the bash script for the installation.</p>
<p><strong>Uninstall the App installed through the OS X package</strong></p>
<p>Just delete the app from your Applications folder. There have been no changes made to your PATH variable.</p>
<p><strong>Uninstall the App installed via bash script</strong></p>
<p>As for linux, just delete the folder where you installed psyplot-conda. By default, this is HOME/psyplot-conda. Open a terminal and just type:</p>
<p>rm -rf HOME/psyplot-conda</p>
<p>If you added a psyplot alias to your .bash_profile or chose to add the bin directory to your PATH variable during the installation, open your HOME/.bash_profile in an editor of your choice and delete those parts.</p>
<p>If you chose to add a Psyplot app, just delete the symbolic link in /Applications or HOME/Applications.</p>
<p><strong>Installation on Windows</strong></p>
<p>Just download the installer for 64-bit or 32-bit, double click the downloaded file and follow the instructions. The installation will create an item in the windows menu (Start -> Programs -> Psyplot) which you can use to open the GUI. You can, however, also download installers that create no shortcut from below.</p>
<p>In any case, if you chose to modify your PATH variable during the installation, you can open a command window (cmd) and type psyplot.</p>
<p><strong>Uninstallation on Windows</strong></p>
<p>Just double-click the Uninstall-Anaconda.exe file in the directory where you installed psyplot-conda and follow the instructions.</p>
<p>This will also revert the changes in your PATH variable.</p>
<p><strong>Acknowledgements</strong></p>
<p>The author thanks the Swiss National Science Foundation (SNF) for their support. Funding for the author came from the ACACIA grant (CR10I2_146314) and the HORNET grant (200021_169598).</p>
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Anhang zu § 138 - Gesetz zur Regelung der Rechtsverhältnisse der Prostitutierten (Prostitutionsgesetz - ProstG)
No full textDispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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