A C++/Python library of efficient algorithms for landscape evolution modeling
-
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.
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.
Python code to simulate crater formation and evolution on a landscape, where the topography is given as a LandLab model grid object.
2D landscape generation
Solving surface-water phenomena seamlessly on a single grid — floods, tsunamis, debris flows, glaciers, groundwater in one Fortran program
To associate your repository with the landscape-evolution topic, visit your repo's landing page and select "manage topics."