tag:joss.theoj.org,2005:/papers/tagged/surveyJournal of Open Source Software2023-08-24T14:15:56ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/43742023-08-24T14:15:56Z2023-08-25T00:01:17ZoccupationMeasurement: A Comprehensive Toolbox for Interactive Occupation Coding in Surveysacceptedv0.2.02023-03-30 10:40:59 UTC882023-08-24 14:15:56 UTC820235505JanSimsonDepartment of Statistics, Ludwig-Maximilians-Universität München, Germany0000-0002-9406-7761OlgaKononykhinaDepartment of Statistics, Ludwig-Maximilians-Universität München, GermanyMalteSchierholzDepartment of Statistics, Ludwig-Maximilians-Universität München, Germany0000-0003-4058-154310.21105/joss.05505https://doi.org/10.5281/zenodo.8276813Rhttps://joss.theoj.org/papers/10.21105/joss.05505.pdfoccupation coding, machine learning, classification, KldB, ISCOtag:joss.theoj.org,2005:Paper/37192022-11-16T16:19:19Z2022-11-17T00:01:38Zgeostan: An R package for Bayesian spatial analysisacceptedV0.3.02022-07-14 01:08:25 UTC792022-11-16 16:19:19 UTC720224716ConnorDoneganGeography and Geospatial Information Sciences, The University of Texas at Dallas, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center0000-0002-9698-544310.21105/joss.04716https://doi.org/10.5281/zenodo.7311716R, C++, Stanhttps://joss.theoj.org/papers/10.21105/joss.04716.pdfspatial data, survey data, Bayesian inferencetag:joss.theoj.org,2005:Paper/22432022-09-29T21:14:38Z2022-09-30T00:00:40ZVAST: the Void Analysis Software Toolkitacceptedv1.0.0-alpha2020-12-17 23:44:29 UTC772022-09-29 21:14:38 UTC720224033KellyA.DouglassUniversity of Rochester0000-0002-9540-546XDahliaVeyratUniversity of Rochester0000-0001-8101-2836StephenW.O'NeillIndependent Researcher0000-0003-1366-7325SegevBenZviUniversity of Rochester0000-0001-5537-4710FatimaZaidouniUniversity of Rochester, Massachusetts Institute of Technology0000-0003-0931-0868MichaelaGuzzettiUniversity of Rochester, Smith College, University of Washington0000-0001-6866-829110.21105/joss.04033https://doi.org/10.5281/zenodo.7086886Python, Cythonhttps://joss.theoj.org/papers/10.21105/joss.04033.pdfastronomy, voids, large-scale structure, redshift surveytag:joss.theoj.org,2005:Paper/22332021-12-08T09:57:12Z2022-01-10T13:58:06Zsamplics: a Python Package for selecting, weighting and analyzing data from complex sampling designs.accepted0.2.62020-12-13 00:23:03 UTC682021-12-08 09:57:12 UTC620213376MamadouS.DialloUNICEF, The United Nations Children's Fund0000-0002-0376-363110.21105/joss.03376https://doi.org/10.5281/zenodo.5750761Pythonhttps://joss.theoj.org/papers/10.21105/joss.03376.pdfSurvey sampling, small area estimation, Official statisticstag:joss.theoj.org,2005:Paper/31552021-11-05T16:25:45Z2021-11-06T14:09:51Zexcluder: An R package that checks for exclusion criteria in online dataacceptedv0.3.12021-11-04 21:25:52 UTC672021-11-05 16:25:45 UTC620213893JeffreyR.StevensDepartment of Psychology, Center for Brain, Biology & Behavior, University of Nebraska-Lincoln0000-0003-2375-136010.21105/joss.03893https://doi.org/10.5281/zenodo.5648202Rhttps://joss.theoj.org/papers/10.21105/joss.03893.pdfdata exclusion, Mechanical Turk, online survey data, Qualtricstag:joss.theoj.org,2005:Paper/24232021-06-09T14:34:43Z2021-06-10T00:03:12ZWhaleMap: a tool to collate and display whale survey results in near real-timeacceptedv1.0.02021-02-19 10:06:20 UTC622021-06-09 14:34:43 UTC620213094HansenJohnsonOceanography Department, Dalhousie University, 1355 Oxford Street, Halifax, Nova Scotia, Canada B3H 4R20000-0002-3086-6759DanielMorrisonOceanography Department, Dalhousie University, 1355 Oxford Street, Halifax, Nova Scotia, Canada B3H 4R2ChristopherTaggartOceanography Department, Dalhousie University, 1355 Oxford Street, Halifax, Nova Scotia, Canada B3H 4R210.21105/joss.03094https://doi.org/10.5281/zenodo.4913270Rhttps://joss.theoj.org/papers/10.21105/joss.03094.pdfoceanography, marine mammals, conservationtag:joss.theoj.org,2005:Paper/25882021-06-06T09:39:04Z2021-06-07T00:01:23Zwbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regressionacceptedv0.32021-04-22 10:04:52 UTC622021-06-06 09:39:04 UTC620213238TobiasSchochUniversity of Applied Sciences and Arts Northwestern Switzerland, School of Business, Riggenbachstrasse 16, CH-4600 Olten, Switzerland0000-0002-1640-339510.21105/joss.03238https://doi.org/10.5281/zenodo.4895167R, Chttps://joss.theoj.org/papers/10.21105/joss.03238.pdfoutlier detection, robustness, survey, linear regression, bounded influencetag:joss.theoj.org,2005:Paper/13782019-12-24T12:11:54Z2021-02-15T11:31:19Zwhampy: Python Package to Interact with, Visualize, and Analyze the Wisconsin H-Alpha Mapper - Sky Surveyacceptedv0.1.0a52019-11-25 21:18:09 UTC442019-12-24 12:11:54 UTC420191940DhaneshKrishnaraoDepartment of Astronomy, University of Wisconsin-Madison0000-0002-7955-735910.21105/joss.01940https://doi.org/10.5281/zenodo.3591960Pythonhttps://joss.theoj.org/papers/10.21105/joss.01940.pdfastronomy, interstellar medium, emission lines, position-position-velocity, kinematicstag:joss.theoj.org,2005:Paper/10912019-12-04T15:25:45Z2021-02-15T11:31:59ZbbsAssistant: An R package for downloading and handling data and information from the North American Breeding Bird Surveyaccepted0.0.12019-07-05 21:50:05 UTC442019-12-04 15:25:45 UTC420191768JessicaL.BurnettScience Analytics and Synthesis, Core Science Systems, U.S. Geological Survey, Denver, Colorado, USA0000-0002-0896-5099LyndsieWszolaSchool of Natural Resources, University of Nebraska, Lincoln, Nebraska, USA, School of Biological Sciences, University of Nebraska, Lincoln, Nebraska, USA0000-0002-2660-2048GabrielaPalomo-MuñozSchool of Natural Resources, University of Nebraska, Lincoln, Nebraska, USA0000-0002-0661-413X10.21105/joss.01768https://doi.org/10.5066/P93W0EAWRhttps://joss.theoj.org/papers/10.21105/joss.01768.pdfbreeding bird survey, data retriever, ecology, point countstag:joss.theoj.org,2005:Paper/8312019-05-23T02:51:42Z2021-02-15T11:32:36ZDetecting Fraud in Online Surveys by Tracing, Scoring, and Visualizing IP Addressesacceptedv1.1.12019-01-25 19:50:20 UTC372019-05-23 02:51:42 UTC420191285PhilipD.WaggonerCollege of William & Mary, MAHD Lab, University of HoustonRyanKennedyMAHD Lab, University of HoustonScottCliffordMAHD Lab, University of Houston10.21105/joss.01285https://doi.org/10.5281/zenodo.3178394Rhttps://joss.theoj.org/papers/10.21105/joss.01285.pdfMechanical Turk, fraud, online surveys, survey experiments, quality