Journal of open source software最新文献

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PAM: Population Activity Modeller PAM:人口活动模型
Journal of open source software Pub Date : 2024-04-23 DOI: 10.21105/joss.06097
Fred Shone, Theodore Chatziioannou, B. Pickering, Kasia Kozlowska, Michael Fitzmaurice
{"title":"PAM: Population Activity Modeller","authors":"Fred Shone, Theodore Chatziioannou, B. Pickering, Kasia Kozlowska, Michael Fitzmaurice","doi":"10.21105/joss.06097","DOIUrl":"https://doi.org/10.21105/joss.06097","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140668556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The fqar package: R tools for analyzing floristicquality assessment data fqar 软件包:用于分析植物质量评估数据的 R 工具
Journal of open source software Pub Date : 2024-04-23 DOI: 10.21105/joss.06366
Andrew Gard, Alexia Myers, Irene Luwabelwa
{"title":"The fqar package: R tools for analyzing floristic\u0000quality assessment data","authors":"Andrew Gard, Alexia Myers, Irene Luwabelwa","doi":"10.21105/joss.06366","DOIUrl":"https://doi.org/10.21105/joss.06366","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140666141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
gcamreport: An R tool to process and standardize GCAMoutputs gcamreport:处理和标准化 GCAM 输出的 R 工具
Journal of open source software Pub Date : 2024-04-22 DOI: 10.21105/joss.05975
Clàudia Rodés-Bachs, Jon Sampedro, Russell Horowitz, Dirk-Jan Van de Ven, R. Cui, Alicia Zhao, Matthew Zwerling, Zarrar Khan
{"title":"gcamreport: An R tool to process and standardize GCAM\u0000outputs","authors":"Clàudia Rodés-Bachs, Jon Sampedro, Russell Horowitz, Dirk-Jan Van de Ven, R. Cui, Alicia Zhao, Matthew Zwerling, Zarrar Khan","doi":"10.21105/joss.05975","DOIUrl":"https://doi.org/10.21105/joss.05975","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
gcamfaostat: An R package to prepare, process, andsynthesize FAOSTAT data for global agroeconomic and multisector dynamicmodeling gcamfaostat:为全球农业经济和多部门动态建模准备、处理和合成 FAOSTAT 数据的 R 软件包
Journal of open source software Pub Date : 2024-04-22 DOI: 10.21105/joss.06388
Xin Zhao, M. Chepeliev, P. Patel, Marshall A Wise, Katherine Calvin, Kanishka B. Narayan, Chris R. Vernon
{"title":"gcamfaostat: An R package to prepare, process, and\u0000synthesize FAOSTAT data for global agroeconomic and multisector dynamic\u0000modeling","authors":"Xin Zhao, M. Chepeliev, P. Patel, Marshall A Wise, Katherine Calvin, Kanishka B. Narayan, Chris R. Vernon","doi":"10.21105/joss.06388","DOIUrl":"https://doi.org/10.21105/joss.06388","url":null,"abstract":"The gcamfaostat R package is designed for the preparation, processing, and synthesis of the Food and Agriculture Organization (FAO) Statistics (FAOSTAT) agroeconomic data. The primary purpose is to facilitate FAOSTAT data use in global economic and multisector dynamic models while ensuring transparency, traceability, and reproducibility. Here, we provide an overview of the development of gcamfaostat v1.0.0 and demonstrate its capabilities in generating and maintaining agroeconomic data required for the Global Change Analysis Model (GCAM). Our initiative seeks to enhance the quality and accessibility of data for the global agroeconomic modeling community, with the aim of fostering more robust and harmonized outcomes in a collaborative, efficient, and open-source framework. The processed data and visualizations offered by gcamfaostat can also be valuable to a broader audience interested in gaining insights into the intricacies of global agriculture.","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ZodiPy: A Python package for zodiacal lightsimulations ZodiPy:用于黄道十二宫模拟的 Python 软件包
Journal of open source software Pub Date : 2024-04-20 DOI: 10.21105/joss.06648
Metin San
{"title":"ZodiPy: A Python package for zodiacal light\u0000simulations","authors":"Metin San","doi":"10.21105/joss.06648","DOIUrl":"https://doi.org/10.21105/joss.06648","url":null,"abstract":"ZodiPy is an Astropy-affiliated Python package for zodiacal light simulations. Its purpose is to provide the astrophysics and cosmology communities with an accessible and easy-to-use Python interface to existing zodiacal light models, assisting in the analysis of infrared astrophysical data and enabling quick and easy zodiacal light forecasting for future experiments. ZodiPy implements the Kelsall et al. (1998) and the Planck Collaboration et al. (2014) interplanetary dust models, which allow for zodiacal light simulations between 1.25−240𝜇 m and 30−857 GHz, respectively, with the possibility of extrapolating the models to other frequencies.","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140680257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Paicos: A Python package for analysis of (cosmological)simulations performed with Arepo 派科斯用于分析用 Arepo 进行的(宇宙学)模拟的 Python 软件包
Journal of open source software Pub Date : 2024-04-20 DOI: 10.21105/joss.06296
Thomas Berlok, Léna Jlassi, E. Puchwein, T. Haugbølle
{"title":"Paicos: A Python package for analysis of (cosmological)\u0000simulations performed with Arepo","authors":"Thomas Berlok, Léna Jlassi, E. Puchwein, T. Haugbølle","doi":"10.21105/joss.06296","DOIUrl":"https://doi.org/10.21105/joss.06296","url":null,"abstract":"We present Paicos, a new object-oriented Python package for analyzing simulations performed with Arepo. Paicos strives to reduce the learning curve for students and researchers getting started with Arepo simulations. As such, Paicos includes many examples in the form of Python scripts and Jupyter notebooks as well as an online documentation describing the installation procedure and recommended first steps. Paicos' main features are automatic handling of cosmological and physical units, computation of derived variables, 2D visualization (slices and projections), 1D and 2D histograms, and easy saving and loading of derived data including units and all the relevant metadata.","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140681382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
sectionproperties: A Python package for the analysis ofarbitrary cross-sections using the finite element method sectionproperties:使用有限元方法分析任意截面的 Python 软件包
Journal of open source software Pub Date : 2024-04-19 DOI: 10.21105/joss.06105
Robbie van Leeuwen, Connor Ferster
{"title":"sectionproperties: A Python package for the analysis of\u0000arbitrary cross-sections using the finite element method","authors":"Robbie van Leeuwen, Connor Ferster","doi":"10.21105/joss.06105","DOIUrl":"https://doi.org/10.21105/joss.06105","url":null,"abstract":"package","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140683351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AHGestimation: An R package for computing robust, masspreserving hydraulic geometries and rating curves AHGestimation:用于计算稳健、质量保证型水力几何图形和额定曲线的 R 软件包
Journal of open source software Pub Date : 2024-04-18 DOI: 10.21105/joss.06145
J. M. Johnson, Shahab Afshari, Arash Modaresi Rad
{"title":"AHGestimation: An R package for computing robust, mass\u0000preserving hydraulic geometries and rating curves","authors":"J. M. Johnson, Shahab Afshari, Arash Modaresi Rad","doi":"10.21105/joss.06145","DOIUrl":"https://doi.org/10.21105/joss.06145","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140686675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
UltraDark.jl: A Julia package for simulation ofcosmological scalar fields UltraDark.jl:模拟宇宙学标量场的 Julia 软件包
Journal of open source software Pub Date : 2024-04-17 DOI: 10.21105/joss.06035
Nathan Musoke
{"title":"UltraDark.jl: A Julia package for simulation of\u0000cosmological scalar fields","authors":"Nathan Musoke","doi":"10.21105/joss.06035","DOIUrl":"https://doi.org/10.21105/joss.06035","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fitspy: A Python package for spectraldecomposition Fitspy:用于光谱分解的 Python 软件包
Journal of open source software Pub Date : 2024-04-15 DOI: 10.21105/joss.05868
Patrick Quéméré
{"title":"Fitspy: A Python package for spectral\u0000decomposition","authors":"Patrick Quéméré","doi":"10.21105/joss.05868","DOIUrl":"https://doi.org/10.21105/joss.05868","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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