feat: geospatial datasets — 70 bases, 40 ports, 24 pipelines, 24 nuclear (+4 = 60 tools)

Static geospatial intelligence datasets with map visualization:
- 70 military bases from 9 operators (USA, RUS, CHN, GBR, FRA, NATO, etc.)
- 40 strategic ports (container, oil, LNG, naval, bulk)
- 24 oil/gas/hydrogen pipelines with capacity and status
- 24 nuclear facilities (power, enrichment, research, reprocessing)
- 4 new MCP tools: intel_military_bases, intel_strategic_ports,
  intel_pipelines, intel_nuclear_facilities
- New "Infrastructure" map layer with base/port/facility markers
- Pipeline summary table in drawer with click-to-detail
- All geospatial items have detail modals on click

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src/world_intel_mcp/dashboard/app.py

@@ -44,6 +44,7 @@ from world_intel_mcp.sources import (
 )
 from world_intel_mcp.analysis.alerts import fetch_alert_digest, fetch_weekly_trends
 from world_intel_mcp.config.countries import INTEL_HOTSPOTS
+from world_intel_mcp.config.geospatial import MILITARY_BASES, STRATEGIC_PORTS, PIPELINES, NUCLEAR_FACILITIES
 
 logger = logging.getLogger(__name__)
 
@@ -151,6 +152,12 @@ async def _fetch_overview() -> dict:
             "source": "intel-hotspots",
         }
 
+    # Static geospatial datasets (no API calls)
+    result["military_bases"] = {"bases": MILITARY_BASES, "count": len(MILITARY_BASES)}
+    result["strategic_ports"] = {"ports": STRATEGIC_PORTS, "count": len(STRATEGIC_PORTS)}
+    result["pipelines"] = {"pipelines": PIPELINES, "count": len(PIPELINES)}
+    result["nuclear_facilities"] = {"facilities": NUCLEAR_FACILITIES, "count": len(NUCLEAR_FACILITIES)}
+
     # Attach source health + timestamp
     result["source_health"] = _breaker.status() if _breaker else {}
     result["cache_stats"] = _cache.stats() if _cache else {}