Research Summary: OpenHamoye: A Multi-Scale Open Geospatial Intelligence Framework for Decision Support Across Nigeria

The OpenHamoye framework provides an open-source geospatial intelligence model designed to counter the data limitations of official statistics in Nigeria, which often suffer from coarse geographic resolution and reporting lags. By integrating nine public remote-sensing and crowdsourced datasets, the platform generates reproducible development proxies structured across a six-tier spatial hierarchy down to kilometre-scale cells.

Why it matters

Granular, near-real-time spatial intelligence reduces the risk of misallocating capital and infrastructure in dynamic emerging markets where traditional surveys are delayed. Structuring data down to kilometre-scale cells enables public and private actors to identify localized bottlenecks and economic readiness that aggregated national or state-level metrics obscure. This shift from coarse reporting to open spatial proxies empowers more agile, evidence-based resource deployment across regional development corridors.

Key insights

• Official national statistics in Nigeria often display coarse spatial resolution and significant temporal lag, hindering timely planning.
• OpenHamoye aggregates nine public remote-sensing and crowdsourced datasets to generate multi-scale proxy indicators for development.
• The analytical architecture spans a six-tier geographic hierarchy: country, state, Local Government Area (LGA), metropolitan area, corridor, and kilometre-scale cell.
• The framework formulates six composite indices, including market potential, growth index, development momentum, and infrastructure stress, to guide localized decision-making.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2610.32984