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The growing complexity of landscape evolut … The growing complexity of landscape evolution models (LEMs) has broadened their use to answer a variety of questions, but approaches for statistically assessing model outputs remain underexplored. Here, we suggest enhancing the study of LEM outputs by utilizing Shannon Entropy, Moran's I, and Geary's C, which provide insights into dynamics and variations within and between simulations, both quantitatively and visually. Three experiments were used as case studies; a constant uplift (Experiment 1), a periodic alternating uplift (Experiment 2), and a spatially variable uplift (Experiment 3). Incorporating the proposed metrics as a comparison module in LEMs offers a methodical way to analyze variations in information content, gauge spatial consistency, and spot simulation divergence. Although our focus is on LEM outputs, similar techniques may be applied to any matrix-based data or digital elevation models (DEMs), allowing for thorough model evaluations and better decision-making in topographic analysis and landscape modeling investigations. This material was developed during the 2024 CSDMS Visiting Scholar Program, being supported by NSF under Grant Nos. EAR-2104102 and EAR-1917695.er Grant Nos. EAR-2104102 and EAR-1917695. +
Quantifying Spatial and Temporal Variation in LEM Outputs +
Baton Rouge +
United States +
aforte8@lsu.edu +
Louisiana State University +
Baton Rouge +
vgrom1@lsu.edu +
Vivian +
Louisiana State University +
Grom +
3602077100 +
Image: +
4) Get lazy with LLMs +
2) From Exploration to Publication: Geospatial Research in the Jupyter Ecosystem +
1) Landlab’s NetworkSedimentTransporter: A Lagrangian Model for River Bed Material Transport Dynamics +
Louisiana +
United States +
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19:25:26, 26 March 2025 +
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23:31:06, 27 March 2025 +
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