grainscape
Landscape modeler
A tool for modeling landscape connectivity and habitat networks
Efficient Modelling of Landscape Connectivity, Habitat, and Protected Area Networks
19 stars
4 watching
2 forks
Language: TeX
last commit: 7 months ago
Linked from 1 awesome list
habitat-connectivitylandscape-connectivityrr-packagespatial-graphs
Related projects:
Repository | Description | Stars |
---|---|---|
predictiveecology/landr | Tools and utilities for simulating forest ecosystem dynamics based on ecological models | 17 |
r-spatialecology/landscapemetrics | A software package that enables reproducible landscape analysis using categorical map patterns in R. | 230 |
garrettlab/habitatconnectivity | Analyzes habitat connectivity risk and provides customizable maps of mean, difference, and variance in connectivity | 7 |
ghislainv/forestatrisk | A Python package for modeling and forecasting deforestation risk in tropical regions using spatial analysis and machine learning techniques. | 117 |
martibosch/pylandstats | A Python library for analyzing landscape metrics and evolution | 83 |
ropensci/nlmr | A package for simulating neutral landscape models in R. | 65 |
jwyang/graph-rcnn.pytorch | Reimplemented scene graph generation models using PyTorch 1.0 | 733 |
model-r/modler | An ecological niche modeling workflow tool | 51 |
pcraster/pcraster | A software package that enables the construction of complex environmental models using spatial and temporal data analysis tools | 88 |
ncar/noahmp | A widely-used land surface model with modernized refactored version | 70 |
agrigpts/agrigpts | Developing large-scale language models for agricultural applications to support research and practical use in the field of agriculture | 22 |
geco-bern/rsofun | Tools for simulating ecosystem processes and model calibration in site-scale simulations. | 25 |
jgrss/cultionet | A deep learning library for image segmentation of cultivated land from satellite data | 26 |
ghislainv/forestatrisk-tropics | This project models and forecasts tropical deforestation using spatial analysis and machine learning techniques | 29 |
earth-chris/elapid | Software package for species distribution modeling using geospatial data and machine learning algorithms | 54 |