U.S. hexagon spatial explorer · 50 km equal-area cells
Use the map and summary together to spot broad patterns. The figures describe the current selection; they do not show that one factor caused another.
Every map value is calculated for a 50 km equal-area hexagon. Point and line features are aggregated inside cells; county and state measures are assigned using the cell centroid. Facility-count maps use fixed 0, 1, 2–4, 5–14, and 15+ bins so large clusters do not stretch the legend. Facility-type filters re-aggregate data-center outcomes and direct-opposition counts; power, resource, legislation, and local-action context stays fixed.
Correlation between the outcome and comparison variable in the same complete cells. It ranges from −1 to 1 and does not adjust for spatial dependence.
Global clustering of the selected outcome using row-standardized queen neighbors. Positive values indicate similar values tend to be adjacent. No permutation p-value is reported.
Correlation between each cell’s outcome and the average comparison value among its adjacent cells. It is descriptive and is not a causal estimator.
Classifies cells as high or low relative to the current sample mean for both selected variables. Changing the state or land-share filter changes the cut points.
Cells with numeric values for both selected variables. Unknown values are excluded; valid zeros remain in the calculation.
Share of the full hexagon intersecting the 50-state boundary. Use the 25% or 50% filter to test sensitivity to marginal coastal cells.
