U.S. Census, Land Cover, and Road Network Data from UC Riverside

U.S. tabular and geographic Census data, land cover imagery from the Multi-Resolution Land Characteristics Consortium, and road network data processed from OpenStreetMap. The datasets are created by the Center for Geospatial Sciences at the University of California-Riverside and are available as Quilt packages on AWS Open Data under a BSD-3-Clause license.

Use Cases

• Analyze demographic and socioeconomic patterns based on U.S. Census tabular and geographic data.
• Classify land use and land cover change based on Multi-Resolution Land Characteristics Consortium imagery.
• Model transportation networks and accessibility based on processed OpenStreetMap road data.

Strengths

• Data originates from authoritative sources like the U.S. Census and the Multi-Resolution Land Characteristics Consortium.
• Released under a permissive BSD-3-Clause license, allowing for broad reuse.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Center for Geospatial Sciences (CGS) at the University of California-Riverside.

Collection Method

Aggregated and processed from U.S. Census, Multi-Resolution Land Characteristics Consortium, and OpenStreetMap.

Time Range

null

Freshness

Last updated date is unknown.

Geography

United States (implied from U.S. Census and MRLC data sources).