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Spatial Analysis

This is a minimum working model example of how to apply VNR gradient logic as a support surface, to a single state, Connecticut.

Explanation

Using open data (OSM infrastructure/land use, USGS terrain, Census/ACS population), we compute a 0–1 gradient at ~250 m resolution across Connecticut. Higher values indicate places with better resources, more suitable geography, and lower human visibility, consistent with a quiet, distributed replicator ecology. The map is comparative (normalized statewide) and designed as an MVP to guide iteration and testing.

Formula

VNR (x) = mean ( R(x), G(x), S(x) ) ∈ [0,1]

Component	What it encodes (VNR rationale)	Data (open sources)	Calculation (0-1)
Resource (R)	Access to power, water, industrial metabolism. Inputs a replicator ecology can tap; proximity operational convenience.	OSM/Geofabrik: power substations/lines, rivers/lakes, industrial land & POIs.	Per layer: distance to exp. decay score (closer = higher); average power + water + industrial to normalize 0-1.
Geography (G)	Cover & terrain for concealment/thermal buffering; standoff from disruption while keeping access.	OSM landuse (forest/scrub/wetland), USGS DEM slope, distance to primary roads and urban cores.	Cover: binary 0-1; Ruggedness: slope 0-1; Standoff: goldilocks distance to roads/cores; average the three 0-1.
Visibility / Stealth (S)	Low human density and lower road exposure reduce detection/interaction costs.	ACS population density (tracts), distance from primary roads.	Stealth = inverse (pop density, normalized distance-from-roads; average 0-1.