Building a City in 16 Years: Kelowna’s Digital Twin Revolution

The documentary follows Kelowna’s transformation of its GIS capability in the context of rapid population growth and wildfire risk. Esri describes how the city’s geospatial strategy and location intelligence were used in planning and crisis response.

Urban Environment Quality Assessment Field Data and Classification

972 georeferenced observations across Port Harcourt, with latitude/longitude and an Urban Environmental Quality Index covering cleanliness, infrastructure, traffic, environment and aesthetics.
Institution: University of Port Harcourt.

Nigeria Distance to Inland Water — ~100 m Resolution

A gridded geospatial dataset representing the distance from each approximately 100 m grid-cell centre to the nearest inland waterbody in Nigeria. The dataset was produced using global inland-water data from the ESA Climate Change Initiative and geodesic distance calculations. It can support hydrological analysis, environmental modelling, agricultural suitability studies, settlement planning, water-access analysis and spatial risk assessment. Publisher: WorldPop, University of Southampton and CIESIN; source water data from the ESA Climate Change Initiative.

Nigeria Degree of Urbanisation Dataset — 2025

A geospatial classification of Nigeria’s degree of urbanisation for 2025, produced using WorldPop Global2 population data and the GHSL GHS-DUG tool. The release includes 1 km GeoTIFF classification grids, spatial entities and population statistics representing different settlement and urbanisation classes across Nigeria. Publisher: WorldPop, University of Southampton, as part of the DEGURBA project

Nigeria Distance to Built-Up Areas — 2015–2030

A high-resolution geospatial covariate dataset providing the distance from each approximately 100 m grid cell to the nearest built-up area across Nigeria. The dataset covers annual layers from 2015 through 2030 and combines GHSL built-up data with Microsoft Building Footprints, Google Open Buildings and World Settlement Footprint data. It is useful for urban expansion analysis, settlement accessibility, land-use modelling, population studies and spatial suitability analysis. Publisher: WorldPop, University of Southampton and CIESIN.

GRID3 NGA – Spatially Integrated Displacement Datasets v1.0

This dataset provides harmonised spatial estimates of internally displaced persons (IDPs) and returnees for Nigeria (NGA) covering the period 2022-2025.

The dataset was produced by integrating IOM-DTM displacement assessment data with GRID3 administrative boundary datasets using an automated spatial harmonisation workflow developed by WorldPop, University of Southampton.