Geospatial intelligence for asset decisions — Property Intelligence

Spatialzr LISA combines geographic analysis, structured public data and multi-variable AHP models to guide investment, arbitrage and expansion decisions toward the right locations — faster, with greater confidence.

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Results delivered in operational form

4 formats

Interactive maps and dashboards

H3 cell-by-cell visualisation. Use-specific heatmaps (Retail, Office, Residential, Industrial). Top tier identified by Jenks method + transport filter.

Ranked location shortlists

Ranking of the N best cells for a given use on a given territory. Comparable across geographies. Ready for investment committee.

Exportable scores — structured data

Spatialzr LISA dataset delivered as CSV/XLSX. 300+ raw variables, intermediate levels, aggregated scores by use. Compatible with Excel, AVMs, internal models.

Executive-ready reports

1-page executive summary · Thematic breakdown · Relative positioning (percentiles) · Forward-looking read. Defensible format for investment committees.

300+ variables · 6 dimensions · 4 asset types

6 dimensions:

M — Metropolis :

size, urban position (Core/Hinterland/Outerland), GDP, demographics

T — Transport :

public transport, intercity (TGV/airport), road network, multimodality

R — Retail :

merchandising mix, retail density, typologies, commercial surface

B — Business :

land use, activity zones, office/industry ratio, connectivity

C — City Life :

education, soft mobility, green spaces, urban amenities

E — Environment :

noise, flood risk, air quality, light pollution

4 models by use :
RETAIL · OFFICE · RESIDENTIAL · INDUSTRIAL — AHP weights optimised by typology. Absolute score 0–10 + relative positioning by percentile on territory.

Unit of analysis : the H3 cell
Hexagonal geospatial (~50m diameter). Each cell is independent, scored, comparable. Not a zone, not a district: the exact cell.

What LISA does that no one else does

What others provide What LISA delivers
Broker market note: aggregated snapshot, 6–12 month lag Forward-looking score of the exact cell, before the decision
Comparison only possible within the same market Like-for-like comparable across all geographies I
Non-audited expert opinion Structured methodology, 300+ variables, auditable
Past transaction data (MSCI, CBRE Research) Attractiveness trajectory — not what happened

Request an analysis of your asset or portfolio

Delivered within 48h. France and UK. Dataset + interactive map + AI script.

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