Introduces the first algorithmic framework for responsive thematic mapping via layout guides that encode map element sizes and relative positions, demonstrated on rectangular and Demers cartograms.
Molecular medicine reports , year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
PliableBVS is a new Bayesian hierarchical spike-and-slab model for simultaneous selection of high-dimensional main effects and interactions under an asymmetric weak hierarchical constraint, shown to outperform pliable lasso in simulations.
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Automated Responsive Thematic Mapping with Layout Guides
Introduces the first algorithmic framework for responsive thematic mapping via layout guides that encode map element sizes and relative positions, demonstrated on rectangular and Demers cartograms.
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PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
PliableBVS is a new Bayesian hierarchical spike-and-slab model for simultaneous selection of high-dimensional main effects and interactions under an asymmetric weak hierarchical constraint, shown to outperform pliable lasso in simulations.