There are 9 repositories under landscape-ecology topic.
Landscape Metrics for Categorical Map Patterns 🗺️ in R
Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
Computing landscape metrics in the Python ecosystem
Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.
📦 R package for some of the less-glamorous tasks involved in landscape analysis 🌏
Simulation of multiple ecological functional corridors
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
population and community dynamics on spatial graphs, in julia. (formerly EcoDynamics.jl)
LecoS QGis Plugin - Contains several analytical functions for land cover analysis
:package: Analyse species-habitat associations in R
R package for calculating landscape and shape metrics for vector layers
A Python package to create neutral landscape models
R package for working with spatial absorbing Markov chains
Easily install and load packages from the landscapeverse
A crash course in analysing spatial patterns of the landscape using R
A Postgres/PostGIS extension for landscape metrics calculations.
Fast parallel convolution in R.
Code and data for analysis of landscape genetics of Golden Lion Tamarins (Leontopithecus rosalia)
Additional utilities for LandWeb analyses
Extractor allows for the extraction of data from raster images based on point, line, and polygon vectors and the application of zonal statistics. Its usefulness lies in its ability to work with a range of raster sources, making it ideal for time series analysis and landscape studies.
Lastejobb for Natur i Norge landskapsnivå.
Data som brukes for å laste landskapsdatasettet.
Fast computation of the Boltzmann Entropy of a numerical or nominal 2-D data array.
A Python package to create neutral landscape models
A simple landscape fire simulator that is based on a fire return interval polygon input
Miscellaneous utilities developed by the Predictive Ecology Lab Group
Julia and R Code for Schwob, Hooten, Narasimhan, "Composite Dyadic Models for Spatio-Temporal Data," in review.