From river flow to spatial flow: flow map via river flow directions assignment algorithm
Zhiwei Wei, Su Ding, Yang Wang, Yuanben Zhang, Wenjia Xu

TL;DR
This paper introduces RFDA-FM, an automated method for creating flow maps from river flow directions using DEM data and maze-solving algorithms, improving visual clarity and applicability to complex terrains.
Contribution
The paper presents a novel automated approach combining river extraction and maze-solving algorithms to generate flow maps with improved node placement and obstacle handling.
Findings
Flow maps generated by RFDA-FM better avoid node overlaps.
RFDA-FM effectively handles heterogeneous and obstacle-rich mapping spaces.
Parameter control allows intuitive layout adjustments.
Abstract
Flow maps are thematic maps that visualize object movements across space with a tree layout, in which the underlying tree structure is similar to a natural river system. In this paper, we present a novel and automated approach named RFDA-FM for flow maps from one origin to multiple destinations using a river extraction algorithm in digital elevation models (DEM). The RFDA-FM first models the mapping space as a flat surface by a DEM. A maze-solving algorithm (MSA) for river extraction is then adapted to calculate the flow path from one destination to the origin by constraining its searching directions, direction weights, and searching ranges according to the quality criteria of flow maps. All flow paths from the destinations to the origin are obtained iteratively based on the MSA according to their importance, which is defined by considering their length. Finally, these paths are…
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Taxonomy
TopicsHydrology and Watershed Management Studies · Remote Sensing and LiDAR Applications · Hydrology and Sediment Transport Processes
