osmclass (version 0.1.3)

classifications: A Classification of OSM Features by Economic Function

Description

This classification, developed for Krantz (2023), aims to classify OSM features into meaningful and specific economic categories such as 'education', 'health', 'tourism', 'financial', 'shopping', 'transport', 'communications', 'industrial', 'residential', 'road', 'railway', 'pipeline', 'power', 'waterway' etc. Separate classifications are developed for points and polygons (buildings) (33 categories), and lines (11 categories), which should be applied to the respective layers of OSM PBF files, see osmclass-package for and example. The classification is optimized (in terms of tag choice and order of categories) to assign the most sensible primary category to most features in the Africa OSM.

Usage

osm_point_polygon_class
osm_line_class
osm_line_info_tags

Format

An object of class list of length 33.

An object of class list of length 11.

An object of class list of length 11.

References

Krantz, Sebastian, Mapping Africa’s Infrastructure Potential with Geospatial Big Data, Causal ML, and XAI (August 10, 2023). Available at SSRN: https://www.ssrn.com/abstract=4537867

See Also

osmclass-package

Examples

collapse::unlist2d(osm_point_polygon_class, idcols = c("category", "tag"))
collapse::unlist2d(osm_line_class, idcols = c("category", "tag"))
# This list contains additional tags with information about lines (e.g. roads and railways)
collapse::unlist2d(osm_line_info_tags, idcols = c("category", "tag"))