Spatia.ar — Geospatial Intelligence Platform

Spatia is a geospatial intelligence platform that integrates satellite imagery (Sentinel-2, MODIS, VIIRS, among others), the 2022 Argentine census, and infrastructure records (Overture Maps, roads, power lines, and related sources) into a unified analytical layer. The province of Misiones is tessellated into H3 hexagons (resolution 9, ~0.1 km²), each scored across 21 multi-criteria analyses validated through Principal Component Analysis and classified via k-means clustering.

Key findings Link to heading

  • Territorial scores reveal a sharp urban–rural gradient: hexagons along the Paraná River corridor and national Route 12 consistently score highest across the Invest and Serve lenses, whilst the interior — dominated by remnant Atlantic Forest and plantations — exhibits markedly lower service access and higher environmental risk.
  • EUDR compliance analysis identifies approximately 12% of productive hexagons with deforestation signals detectable in Sentinel-2 time series (2018–2024), concentrated in the northern departments of General Manuel Belgrano, San Pedro, and Guaraní.
  • Health access modelling — combining facility locations, road network travel time, and population density — reveals that 23% of Misiones’ population resides in hexagons classified as “high isolation”, predominantly in rural areas more than 30 minutes from the nearest primary health facility.
  • The four analytical lenses (Invest, Produce, Serve, Live) are not independent: PCA loadings indicate that hexagons scoring high on Invest also tend to score high on Serve, suggesting that territorial capital and public service provision co-locate — a pattern consistent with cumulative advantage dynamics.

Platform architecture Link to heading

Upcoming development includes temporal series (satellite change detection from 1984 to the present), what-if simulation (e.g., recalculating health access upon placing a new facility), and predictive modelling (per-hexagon trend forecasting for buildings, deforestation, economic activities, among other dimensions).

Analytical lenses Link to heading

Four lenses designed as pragmatic aids for local communities, organisations, investors, and decision-makers organise the analyses:

  • Invest: location value, change pressure, territorial scores.
  • Produce: agricultural potential, forest health, forestry aptitude, EUDR compliance.
  • Serve: health access, education capital, service deprivation, territorial isolation.
  • Live: environmental risk, climate comfort, flood risk, green capital.

Click any hexagon to inspect its profile; switch lenses to reframe the same territory from a different perspective. Open fullscreen

Applied research in geospatial intelligence · Raimundo Elías Gómez · FHyCS · Universidad Nacional de Misiones · CONICET · Google Earth Engine Research Partner