IOAH3: Importance-Driven Adaptive Spatial Partitioning
We present IOAH3 (Importance-Oriented Adaptive H3 partitioning), a computational method for constructing data-driven spatial partitions of geo-referenced observation domains. Standard approaches to spatial aggregation adopt fixed areal units, such as administrative boundaries or uniform hexagonal grids at a single resolution, without regard to the informational content of the underlying observations in each region. This leads to the well-known modifiable areal unit problem: statistical and inferential results depend on the arbitrary choice of partition, and spatially concentrated phenomena are averaged out in coarse cells that obscure fine-scale structure. IOAH3 addresses this by construc...
| Authors | Ehsaneddin Jalilian |
|---|---|
| Primary category | stat.AP |
| Published | 7 June 2026 |
| Last updated at source | 7 June 2026 |
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