Dumelle Michael, Peterson Erin E, Ver Hoef Jay M, Pearse Alan, Isaak Daniel J
Pacific Ecological Systems Division, United States Environmental Protection Agency, Corvallis, OR, USA.
EP Consulting and Centre for Data Science, Queensland University of Technology, Brisbane, QLD, Australia.
J Open Source Softw. 2024 Jul 26;9(99). doi: 10.21105/joss.06389.
The SSN2 package provides tools for spatial statistical modeling, parameter estimation, and prediction on stream (river) networks. SSN2 is the successor to the SSN package (Ver Hoef, Peterson, Clifford, & Shah, 2014), which was archived alongside broader changes in the -spatial ecosystem (Nowosad, 2023) that included 1) the retirement of rgdal (Bivand, Keitt, & Rowlingson, 2021), rgeos (Bivand & Rundel, 2020), and maptools (Bivand & Lewin-Koh, 2021) and 2) the lack of active development of sp (Bivand, Pebesma, & Gómez-Rubio, 2013). SSN2 maintains compatibility with the input data file structures used by the SSN package but leverages modern -spatial tools like sf (Pebesma, 2018). SSN2 also provides many useful features that were not available in the SSN package, including new modeling and helper functions, enhanced fitting algorithms, and simplified syntax consistent with other generic functions.
SSN2软件包提供了用于在河流网络上进行空间统计建模、参数估计和预测的工具。SSN2是SSN软件包(Ver Hoef、Peterson、Clifford和Shah,2014年)的继任者,随着空间生态系统的更广泛变化(Nowosad,2023年),SSN软件包已存档,这些变化包括:1)rgdal(Bivand、Keitt和Rowlingson,2021年)、rgeos(Bivand和Rundel,2020年)以及maptools(Bivand和Lewin-Koh,2021年)的停用;2)sp(Bivand、Pebesma和Gómez-Rubio,2013年)缺乏积极开发。SSN2与SSN软件包使用的输入数据文件结构保持兼容,但利用了诸如sf(Pebesma,2018年)等现代空间工具。SSN2还提供了许多SSN软件包中没有的有用功能,包括新的建模和辅助函数、增强的拟合算法以及与其他通用函数一致的简化语法。