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Mapping patterns of movement based on the aggregation of spatial information contained in wireless transmissions
Mapping patterns of movement based on the aggregation of spatial information contained in wireless transmissions
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机译：基于无线传输中包含的空间信息聚合的移动映射模式
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摘要
Time-tagged coordinates from session-unique transmissions of wireless devices are collected routinely and stored for later analysis. From this data, one may derive a sequence of wireless device operation from which attributes may be ascertained. Sequences are accumulated until a dense aggregate pattern (900) is formed over a geographic area. Aggregate data is sorted into ranges representing speed of movement and then converted to pixels representing cells (401) in an aggregate matrix (400). Heavily weighted values (402) are assigned to cells (401) that represent a location within a pre-specified spatial error (100) about a data point (101). Lower values are assigned to cells (401) representing paths (200), or corridors, connecting these better-identified locations. As more transmission sessions (500) are added to the matrix (400), the largest weight values (402) cluster as individual cells (401) representing a most likely path (1001). Thus precise topographic attributes may be derived based on these spatial clusters (FIG. 11A), overlapping paths connecting them (1001), or combinations (FIG. 15A) thereof.
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