lasparameterset

lasparameterset is a term used in software contexts to denote a structured, portable collection of configuration settings that governs the behavior of a LAS processing stack. The concept acts as a single source of truth for parameters that control input handling, algorithm choices, and output formatting across modular components.

In practice, a lasparameterset is represented as a hierarchical data object, often serialized as JSON or YAML. It typically contains sections such as general, input, processing, output, and environment. Each section holds key-value pairs, with nested objects common to capture complex options. Typical fields include version, module, and timestamp for provenance, while parameter keys reflect the options exposed by individual modules, such as normalization, downsampling_rate, classification_thresholds, and coordinate_transform.

Usage and benefits: The lasparameterset is loaded at startup or on demand, validated against a schema, and passed to processing modules to ensure repeatability. By encapsulating configuration in a single object, it supports experiment tracking, reproducibility, and easier configuration management across environments.

Relation to standards: The term is not a formal standard and may be implemented differently across projects. It is distinct from the LAS file format used in LiDAR data, which has its own specification for points and headers. In practice, developers may adapt the concept to their specific LAS-related workflows, naming the parameter container lasparameterset for consistency within a codebase.

Versioning and compatibility: Projects typically adopt semantic versioning for lasparameterset schemas; backward compatibility is often maintained by deprecating options gradually and supplying defaults as needed.