tag:joss.theoj.org,2005:/papers/tagged/point%20classificationJournal of Open Source Software2022-11-25T07:39:28ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/37522022-11-25T07:39:28Z2022-11-26T00:00:44Zmetrica: an R package to evaluate prediction performance of regression and classification point-forecast modelsacceptedv2.0.12022-07-29 23:41:36 UTC792022-11-25 07:39:28 UTC720224655AdrianA.CorrendoDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.0000-0002-4172-289XLuizH. MoroRossoPrivate Consultant, Brasil.0000-0002-8642-911XCarlosH.HernandezDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.0000-0001-5171-2516LeonardoM.BastosDepartment of Crop and Soil Sciences, University of Georgia, Athens, GA, USA.0000-0001-8958-6527LucianaNietoDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.0000-0002-7172-0799DeanHolzworthCSIRO Agriculture and Food, Australia.IgnacioA.CiampittiDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.0000-0001-9619-512910.21105/joss.04655https://doi.org/10.5281/zenodo.7291776Rhttps://joss.theoj.org/papers/10.21105/joss.04655.pdfAPSIM, Machine Learning, error metrics, prediction qualitytag:joss.theoj.org,2005:Paper/12312019-10-31T10:22:27Z2023-11-10T09:00:18Zpymccrgb: Color- and curvature-based classification of multispectral point clouds in Pythonacceptedv0.1.02019-09-24 01:39:58 UTC422019-10-31 10:22:27 UTC420191777RobertSareDepartment of Geological Sciences, Stanford University0000-0003-3711-6771GeorgeE.HilleyDepartment of Geological Sciences, Stanford University0000-0002-1761-754710.21105/joss.01777https://doi.org/10.5281/zenodo.3519582Pythonhttps://joss.theoj.org/papers/10.21105/joss.01777.pdfpoint classification, lidar data, photogrammetric data, geomorphology, ecology