Table 1 Relationship between observed data gaps, data features, design principles and solutions adopted for the production of GHS-UCDB.

From: The Multi-temporal and Multi-dimensional Global Urban Centre Database to Delineate and Analyse World Cities

Data gaps

Features

Principles

GHS-UCDB solutions

Semantic clarity and consistency

Definition

1. Standardized definition of the AOI

Urban centres obtained by the application of the Degree of Urbanisation Method – GHS-SMOD dataset

Thematic and geographic completeness

Coverage

2. Consistent global mapping

Global geographical coverage, 13,135 entries with population ≥50,000 inhabitants in 2015

Spatial representation

3. Spatially explicit delineation of cities

Geospatial representation with extents at 1 km grid cell resolution (polygons), and centroid XY location (point)

Spatial, temporal and thematic resolution

4. multi-thematic, multi-dimensional, and multi-temporal attributes

Variables across five thematic domains: geography, socio-economic, environmental, disaster risk reduction, and sustainable development goals. Temporal domain spanning 1975–2015

Usability

5. comparability of information in space and time

Thematic, geographical and semantic consistency