A Spatiotemporal Hypercube-Based Framework for Integrated Battlefield Modeling and Analysis

Abstract. Traditional spatiotemporal data systems often suffer from fragmentation and insufficient integration of temporal-spatial dimensions. To address these limitations, this study proposes a novel framework leveraging elastic, multi-scale spatiotemporal grids to systematically correlate operational elements across land, sea, air, space, cyberspace, and electromagnetic domains. The framework synthesizes five-dimensional information—Ontology, Spatial, Informational, Operational, and Temporal Dimensions—to construct unified battlefield "pixel" units through grid encoding. The Spatiotemporal Hypercube extends the static/dynamic attribute representation of conventional spatiotemporal cubes. It overcomes the limitation of traditional models by adopting a "node-link" paradigm to characterize heterogeneous spatial features, enabling dynamic encoding of multidimensional battlefield elements. Through modular assembly and building-block-like integration, the hypercube framework supports rapid generation of digital battlefield environments with adaptive scalability. Compared to conventional approaches, the Spatiotemporal Hypercube framework demonstrates five key advancements: finer modeling granularity, comprehensive relational expressiveness, dynamic grid encoding, scalable dimensionality, intelligent analytics integration. This framework establishes a paradigm shift in battlefield digitization by transforming fragmented physical-domain data into structured, analyzable hypercube units. Its multidimensional fusion mechanism and dynamic encoding architecture provide theoretical and technical foundations for next-generation command and control systems.