A C++/Python library of efficient algorithms for landscape evolution modeling
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Updated
Sep 7, 2026 - C++
A C++/Python library of efficient algorithms for landscape evolution modeling
The High-Performance Architecture-Independent LISFLOOD-CAESAR model of floodplain, river, and sediment dynamics
GeoGraph provides a tool for analysing habitat fragmentation and related problems in landscape ecology. GeoGraph builds a geospatially referenced graph from land cover or field survey data and enables graph-based landscape ecology analysis as well as interactive visualizations.
Stratrigraphy simulation solver for the GeoStats.jl framework
A short term landscape evolution using a path sampling method to solve water and sediment flow continuity equations and model mass flows over complex topographies.
Well-commented Python code for efficient and accurate solutions of the minimalist landscape evolution model (LEM) in detachment-limited conditions.
displaz visualization hacks for evolving landscapes
Landlab 地貌模拟工作台 | Visual desktop workbench for the Landlab landscape-evolution framework: 87 components, no-code workflows, online real-DEM, bilingual 中文/English
A numerical simulation modeling landscape evolution, erosion, and ocean level interaction over time using Python and NumPy.
Python code to simulate crater formation and evolution on a landscape, where the topography is given as a LandLab model grid object.
Terrain erosion you can check against real mountains. Hydraulic and thermal erosion, rock strata, tectonic uplift and drainage-network analysis — every milestone gated on a falsifiable measurement, not a screenshot.
2D landscape generation
Solving surface-water phenomena seamlessly on a single grid — floods, tsunamis, debris flows, glaciers, groundwater in one Fortran program
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