tag:joss.theoj.org,2005:/papers/tagged/plots?page=2Journal of Open Source Software2020-07-20T20:17:00ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/12722020-07-20T20:17:00Z2021-02-15T11:31:33Zpylustrator: code generation for reproducible figures for publicationacceptedv0.12.02019-10-04 08:52:20 UTC512020-07-20 20:17:00 UTC520201989RichardGerumDepartment of Physics, University of Erlangen-Nürnberg, Germany0000-0001-5893-265010.21105/joss.01989https://doi.org/10.5281/zenodo.3952417Pythonhttps://joss.theoj.org/papers/10.21105/joss.01989.pdfreproducibility, code generation, interactive, matplotlib, plotting, drag, styletag:joss.theoj.org,2005:Paper/13922020-05-21T01:16:32Z2021-02-15T11:31:17Zggalluvial: Layered Grammar for Alluvial Plotsacceptedv0.11.12019-12-05 18:54:40 UTC492020-05-21 01:16:32 UTC520202017JasonCoryBrunsonCenter for Quantitative Medicine, UConn Health0000-0003-3126-949410.21105/joss.02017https://doi.org/10.5281/zenodo.3836748Rhttps://joss.theoj.org/papers/10.21105/joss.02017.pdfggplot2, alluvial plots, statistical graphics, data visualization, repeated measures data, categorical datatag:joss.theoj.org,2005:Paper/13012020-03-23T15:27:15Z2021-02-15T11:31:28Zsplot - visual analytics for spatial statisticsacceptedv1.1.12019-10-26 01:33:28 UTC472020-03-23 15:27:15 UTC520201882StefanieLumnitzDepartment of Forest Resource Management, University of British Columbia, Center for Geospatial Sciences, University of California Riverside0000-0002-7007-5812DaniArribas-BellGeographic Data Science Lab, Department of Geography & Planning, University of Liverpool0000-0002-6274-1619RenanX.CortesCenter for Geospatial Sciences, University of California Riverside0000-0002-1889-5282JamesD.GaboardiDepartment of Geography, Pennsylvania State University0000-0002-4776-6826VerenaGriessDepartment of Forest Resource Management, University of British Columbia0000-0002-3856-3736WeiKangCenter for Geospatial Sciences, University of California Riverside0000-0002-1073-7781TaylorM.OshanDepartment of Geographical Sciences, University of Maryland, College Park0000-0002-0537-2941LeviWolfSchool of Geographical Sciences, University of Bristol, Alan Turing Institute0000-0003-0274-599XSergioReyCenter for Geospatial Sciences, University of California Riverside0000-0001-5857-976210.21105/joss.01882https://doi.org/10.5281/zenodo.3724199Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01882.pdfvisualization, spatial analysis, spatial statisticstag:joss.theoj.org,2005:Paper/14272020-02-07T02:10:44Z2021-02-15T11:31:11ZCMasher: Scientific colormaps for making accessible, informative and 'cmashing' plotsacceptedv1.2.02020-01-06 08:18:36 UTC462020-02-07 02:10:44 UTC520202004Ellertvan der VeldenCentre for Astrophysics and Supercomputing, Swinburne University of Technology, PO Box 218, Hawthorn, VIC 3122, Australia, ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D)0000-0002-1559-983210.21105/joss.02004https://doi.org/10.5281/zenodo.3637633Pythonhttps://joss.theoj.org/papers/10.21105/joss.02004.pdfcolormaps, data visualization, plotting, sciencetag:joss.theoj.org,2005:Paper/13222019-11-13T18:12:20Z2021-02-15T11:31:24ZEarthPy: A Python package that makes it easier to explore and plot raster and vector data using open source Python tools.accepted0.7.62019-11-06 22:31:37 UTC432019-11-13 18:12:20 UTC420191886LeahWasserEarth Lab, University of Colorado - Boulder0000-0002-8177-6550MaxwellB.JosephEarth Lab, University of Colorado - Boulder0000-0002-7745-9990JoeMcGlinchyEarth Lab, University of Colorado - Boulder0000-0003-2135-0168JennyPalominoEarth Lab, University of Colorado - Boulder0000-0003-4879-9299NathanKorinekEarth Lab, University of Colorado - Boulder0000-0003-0859-7246ChrisHoldgrafUniversity of California - Berkeley, Project Jupyter0000-0002-2391-0678TimHeadWild Tree Tech0000-0003-0931-369810.21105/joss.01886https://doi.org/10.5281/zenodo.3540957Pythonhttps://joss.theoj.org/papers/10.21105/joss.01886.pdfgis, raster data, vector data, remote sensingtag:joss.theoj.org,2005:Paper/8332019-06-13T00:02:33Z2021-02-15T11:32:36ZHCP: A Matlab package to create beautiful heatmaps with richly annotated covariatesacceptedv0.12019-01-26 21:37:31 UTC382019-06-13 00:02:33 UTC420191291ManuelaSalvucciCentre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland0000-0001-9941-4307JochenH. m.PrehnCentre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland0000-0003-3479-779410.21105/joss.01291https://doi.org/10.5281/zenodo.3242593Matlabhttps://joss.theoj.org/papers/10.21105/joss.01291.pdfMATLAB, HeatmapCovariatePlot, annotated heatmap, data visualization, data exploration, multivariate plottingtag:joss.theoj.org,2005:Paper/9602019-05-19T20:40:42Z2021-02-15T11:32:18ZPyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)accepted0.18.12019-04-12 19:55:02 UTC372019-05-19 20:40:42 UTC420191450C.BaneSullivanDepartment of Geophysics, Colorado School of Mines, Golden, CO, USA0000-0001-8628-4566AlexanderA.KaszynskiUniversal Technology Corporation, Dayton, OH, USA0000-0002-8232-721210.21105/joss.01450https://doi.org/10.5281/zenodo.2647611Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01450.pdfvisualization, 3Dtag:joss.theoj.org,2005:Paper/9102019-04-27T06:35:27Z2021-02-15T11:32:28Zggparliament: A ggplot2 extension for parliament plots in Racceptedv2.0.12019-03-04 05:53:23 UTC362019-04-27 06:35:27 UTC420191313ZoeMeersUnited States Studies Centre, University of Sydney0000-0001-8045-6531RobertHickmanDepartment of Physiology, Development and Neuroscience, University of CambridgeThomasJ.LeeperDepartment of Methodology, London School of Economics and Political Science0000-0003-4097-632610.21105/joss.01313https://doi.org/10.5281/zenodo.2650709Rhttps://joss.theoj.org/papers/10.21105/joss.01313.pdfgovernment statistics, data visualization, social science, political sciencetag:joss.theoj.org,2005:Paper/8462019-02-28T14:14:35Z2021-02-15T11:32:33ZpycoQC, interactive quality control for Oxford Nanopore Sequencingacceptedv2.2.02019-02-04 16:10:37 UTC342019-02-28 14:14:35 UTC420191236AdrienLegerEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridgeshire, UK0000-0001-8772-6776TommasoLeonardiGurdon Institute, Cambridge, Cambridgeshire, UK, Center for Genomic Science IIT\@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy0000-0002-4449-186310.21105/joss.01236https://doi.org/10.5281/zenodo.2578275Pythonhttps://joss.theoj.org/papers/10.21105/joss.01236.pdfpython3, plots, metrics, nanopore sequencing, interactive, quality controltag:joss.theoj.org,2005:Paper/5812018-09-14T10:39:04Z2021-02-15T11:33:07Znestcheck: error analysis, diagnostic tests and plots for nested sampling calculationsacceptedv0.1.52018-08-04 06:03:51 UTC292018-09-14 10:39:04 UTC32018916EdwardHigsonCavendish Astrophysics Group, Cavendish Laboratory, J.J.Thomson Avenue, Cambridge, CB3 0HE, UK, Kavli Institute for Cosmology, Madingley Road, Cambridge, CB3 0HA, UK0000-0001-8383-461410.21105/joss.00916https://doi.org/10.5281/zenodo.1418657Pythonhttps://joss.theoj.org/papers/10.21105/joss.00916.pdfnested sampling, dynamic nested sampling, Bayesian inference, error analysis