Add Map VisualNode for geographical coordinate visualization

[Copilot]

Implements a VisualNode for rendering latitude/longitude data with interactive zoom and pan controls. Designed for real-time AIS vessel tracking via WebSocket but accepts any JSON with coordinate data.

Implementation

Core Node (node/VisualNode/node_map.py)

• Recursive coordinate extraction from arbitrary JSON structures (supports latitude/longitude, lat/lon, lat/lng, nested objects, arrays)
• Auto-fit bounding box calculation with 10% padding, clamped to valid coordinate ranges
• matplotlib-based rendering with zoom (0.5x-10x) and 2-axis pan controls (-1.0 to 1.0)
• Follows existing VisualNode patterns (similar to Heatmap, ObjChart)

Coordinate Extraction

# Handles multiple formats
{"boats": [{"latitude": 40.7, "longitude": -74.0}]}  # AIS format
{"lat": 40.7, "lon": -74.0}                          # Simple format
[{"latitude": 40.7, "longitude": -74.0}, ...]        # Array format

View Controls

• Initial view auto-fits all points with padding
• Zoom modifies viewport size around center
• Pan translates viewport within original bounds
• Controls preserve ability to return to initial auto-fit view (reset to defaults)

Testing

• 8 unit tests covering coordinate extraction, bounds calculation, rendering pipeline
• Example script generates 7 different map scenarios
• No new dependencies (uses existing matplotlib stack)

Files

• node/VisualNode/node_map.py - Node implementation (543 lines)
• tests/test_map_node.py - Test suite
• node/VisualNode/README_Map.md - Documentation
• examples/example_map_node.py - Usage examples

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