Environmental Data Platform
Projection of home->work trips in South Tyrol onto OSM drivable roads network. Roads themselves are projected onto a 250m hexagonal tessellation.
Original trips data were projected onto the 250 hexagonal tessellation driven by resident population on one side, and by employees data on the other. Top 5 hexagonal cells were kept to project the trips, amounting to max 25 projected/estimated trips for each actual trip information. Trips are then projected onto the tessellated roads dataset through a Dijkstra shortest path based on the capacity of each road segment. Python libraries used: NetworkX, GeoPandas.
Italy, features, Population, st_pop_flow_rds_ln_s3_apb_250m, flow, tessellated
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4326 (4326:EPSG)
Vector
population
| Name | Description | Link | Date published | Category |
|---|---|---|---|---|
| Maps web services URLs | Here you can find all the available web service URLs provided by Maps, to consume datasets through an interoperable client (QGIS, Python, etc.) or to develop codes for analysis. The most relevant services to access datasets are: WMS (Web Map Service) to visualize layers in a map and to query them); WFS (Web Feature Service) or WCS (Web Coverage Service) to download raw datsets and use them for deep analysis or transformation. | Link | Dec. 13, 2021 | Maps |
| maps.eurac.edu documentation | maps.eurac.edu is based on Geonode, here the link to the official documentation | Link | April 28, 2021 | Maps |
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