Landscape Metrics for Categorical Map Patterns 🗺️ in R
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Updated
Jul 29, 2024 - R
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
📦 R package to simulate neutral landscape models 🏔
Pattern-based spatial analysis in R
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 🌏
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.
Simulation of multiple ecological functional corridors
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
LecoS QGis Plugin - Contains several analytical functions for land cover analysis
population and community dynamics on spatial graphs, in julia. (formerly EcoDynamics.jl)
📦 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
A crash course in analysing spatial patterns of the landscape using R
A Postgres/PostGIS extension for landscape metrics calculations.
Easily install and load packages from the landscapeverse
Add a description, image, and links to the landscape-ecology topic page so that developers can more easily learn about it.
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