SSN2: The next generation of spatial stream network modeling in R

Area of Science:

• Spatial statistics
• Environmental modeling
• Geospatial analysis

Background:

• The original SSN R package is archived due to changes in the R-spatial ecosystem.
• Key R-spatial packages like rgdal, rgeos, and maptools have been retired.
• The lack of active development in the sp package necessitated an update.

Purpose of the Study:

• Introduce SSN2, a successor R package for spatial statistical modeling on stream networks.
• Provide tools for parameter estimation and prediction within riverine systems.
• Leverage modern R-spatial tools for enhanced geospatial analysis.

Main Methods:

• Utilizes the sf package for modern geospatial data handling.
• Maintains compatibility with existing SSN R package data structures.
• Implements new modeling functions, helper functions, and enhanced fitting algorithms.

Main Results:

• SSN2 offers simplified syntax consistent with other R generic functions.
• Introduces new functionalities not present in the previous SSN R package.
• Facilitates robust spatial statistical modeling on stream networks.

Conclusions:

• SSN2 is a powerful, updated tool for spatial statistical modeling on river networks.
• It integrates seamlessly with the current R-spatial ecosystem.
• The package enhances capabilities for environmental and geospatial analysis.