osm_river
|
Secondary data
| Category: Environmental
Indicates whether at least one river or waterway is present within the respective administrative unit. Values are boolean (True/False), derived from a spatial intersection of OpenStreetMap waterway features ("waterway": "river", "natural": "water", "water": "river") with the unit boundary.
This data layer is based on OpenStreetMap data, which is community-contributed and may be incomplete or inconsistent. It indicates presence or absence only and does not capture the size, flow, or significance of waterways. Administrative units partially intersected at their boundary are counted as containing a waterway.
Data is sourced from OpenStreetMap via the OSMnx library. OSMnx is an open-source Python library for retrieving, modeling, and analyzing geospatial features from OpenStreetMap. It enables automated and reproducible access to OSM data for research and applied use.
This source is included in the Data Layer citation.
| Information | Description |
|---|---|
| Format | (API) |
| Format unit | |
| Spatial resolution | |
| Spatial coverage | global |
| Temporal resolution | irregular |
| Temporal coverage | present |
| Language | en |
| License | ODbL-1.0 |
| Date published | |
| Date last accessed |
OSMnx is a Python package for downloading, modeling, analyzing, and visualizing urban networks and any other geospatial features from OpenStreetMap data. A large and growing body of literature uses it to conduct scientific studies across the disciplines of geography, urban planning, transport engineering, computer science, and others. The OSMnx project has recently developed and implemented many new features, modeling capabilities, and analytical methods. The package now encompasses substantially more functionality than was previously documented in the literature. This article introduces OSMnx's modern capabilities, usage, and design—in addition to the scientific theory and logic underlying them. It shares lessons learned in geospatial software development and reflects on open science's implications for urban modeling and analysis.
This source is not included in the Data Layer citation.