Landscape Metrics for Categorical Map Patterns 🗺️ in R
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Updated
Dec 17, 2024 - R
Landscape Metrics for Categorical Map Patterns 🗺️ in R
Computing landscape metrics in the Python ecosystem
Repository of GEE libraries produced by RedCastle Inc at the US Forest Service Geospatial Technology Applications Center
A tool for calculating landscape connectivity and other ecologically scaled landscape metrics
R package for calculating landscape and shape metrics for vector layers
R package for working with spatial absorbing Markov chains
Materials to reproduce the paper "Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis"
Data and R scripts accompanying the paper "Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts"
A Postgres/PostGIS extension for landscape metrics calculations.
A crash course in analysing spatial patterns of the landscape using R
Easily install and load packages from the landscapeverse
A Python wrapper for Fragstats.
Landscape Metrics can be a great way to assess the health and fragmentation of ecosystems, although landcover classification layers may be split up into multiple files such as the case with the Hawaiian Islands. This script streamlines the analytical process by accepting a folder of landcover classification layers to be processed.
Using the "landscapemetrics" R package to calculate metrics inside 5 km buffers.
Mudanças na paisagem ao redor do Garimpo do Lourenço. Changes in the landscape surrounding the Lourenço gold mine.
Mudanças na paisagem ao redor do Terra Indígena Uaçá.
Tutoriais com exemplos para ecologia da paisagem, com código de R.
Vector-based Landscape Metrics
I am currently an Adjunct Professor at the Federal University of São Carlos, at the Nature Science Centre (CCN), on the Lagoa do Sino campus
This page was created to provide an additional option to quantify landscape configuration using R. The landscape subject to analysis is powerful and can represent any spatial phenomenon. R will quantify, sample, show, and the areal extent and spatial configuration of patches within a landscape. We will cover a few important steps for data analys…
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