UNREAL ELECTION GRAPHICS
UNREAL ELECTION MAPS
Qpalca Studio has the ability to produce cutting-edge and professional, real-time data-driven maps with Unreal Engine for broadcasters and live events. These maps can be created for any country, giving newsrooms and production teams the flexibility to cover elections, stories, and data visualizations worldwide. Designed for accuracy, performance, and visual impact, they bring complex information to audiences in a clear and engaging way.
Each graphic includes three interconnected map types—Color Map, Analysis Map, and Cartogram—along with a bar graphic for comparison. Paired with an intuitive remote-control system, they enable flexible, real-time storytelling. With hundreds of customizable parameters across colors, materials, transitions, texts, and data behaviors, the system adapts to any brand or production style, delivering professional, broadcast-ready coverage with maximum impact.
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Three Map Modes – Three distinct map
modes in the same graphic: Color, Analysis, and
Cartogram.
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Local Data Layer – Extra state-level detail
through pie charts, progress bars, or counting
chips.
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Smart Bars – Reorder instantly: original,
ascending, descending, or custom.
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Customizable Texts – Full control over values,
names, and formatting, rendered in 3D or
2D.
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Full Control – Granular control over the layout
of the maps and graphics.
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Material Customization – Unified looks or
distinct styles across all three maps.
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Map Reveals & Transforms – Multiple reveal options using masks, dissolves, and
motion.
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Seamless Data Updates – Update values smoothly or
instantly, with full control over live
pacing.
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Customizable Displayed Particles – Optional
particle effects added to map reveals.
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Broadcast Branding – Built-in master material
with texture support for network branding.
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Live Data Ready – Update visuals in real time
from any live or stored input feed.
- 100% AI-Free Architecture – Built entirely inside Unreal Engine, with zero generative outputs, complete data transparency, and absolute control over every visual.