SWECO25: Transportation (trans)

The transportation category contains the "tlm3d" and "sonbase" datasets.

The tlm3d dataset describes the distance to the road network. After disaggregating the “swissTLM3D” source data (Swisstopo, 2021) in 6 categories (highways, primary roads, secondary roads, hiking paths, railways, and all types together), we generated layers for the Euclidean and path distance (i.e., accounting for elevation) from each of the 6 categories for every pixel in the SWECO25 grid. This dataset includes a total of 12 layers. Final values were rounded and multiplied by 100.

The sonbase dataset describes the exposure to noise levels in Switzerland, based on the daytime volume emitted by road traffic. We resampled the “Daytime road traffic noise exposure” source data (FOEN, 2018) to the SWECO25 grid. We computed 13 focal statistics layers by applying a cell-level function calculating the mean value per pixel in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 14 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_trans.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

References:

Swiss Federal Office of Topography [swisstopo]. The large-scale topographic landscape model of Switzerland swissTLM3D. (Wabern, Switzerland, 2021).

Swiss Federal Office for the Environment [FOEN]. Daytime road traffic noise exposure. sonBASE GIS noise database. (Bern, Switzerland, 2018)

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update