NLMR

Model simulator

A package for simulating neutral landscape models in R.

📦 R package to simulate neutral landscape models 🏔

GitHub

65 stars
14 watching
17 forks
Language: R
last commit: 3 months ago
Linked from 2 awesome lists

landscape-ecologyneutral-landscape-modelpeer-reviewedrr-packagerstatsspatial

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
ropensci/nlrx A package to execute and analyze NetLogo simulations from R 77
ropensci/rnaturalearth A package providing access to and facilitating interaction with Natural Earth map data 222
predictiveecology/landr Tools and utilities for simulating forest ecosystem dynamics based on ecological models 17
ropensci/datapackager Enables reproducible data processing and sharing through standardization and packaging 154
ropensci/modistsp Automates processing of MODIS Land Products time series data from satellite imagery 154
ropensci/stplanr A package providing functions for solving common problems in transport planning and modeling 421
ropensci/jqr An R interface to jq, allowing efficient processing of JSON data without explicit conversion or regular expression usage. 143
cable-lsm/cable A land surface model written in Fortran for simulating the interactions between the land surface and the atmosphere. 12
ropensci/chopin Automates parallelization of spatial computation for large datasets in geographic information systems 12
canndrew/netsim A Rust library for simulating networks to test network-oriented code 142
noaa-gfdl/mom6 A modular ocean model that simulates the behavior of the world's oceans in a coupled atmosphere-ocean system. 27
ropensci/mapscanner Tools for converting hand-drawn marks on maps to spatial objects 90
ropensci/hydroscoper A package providing access to Greek National Data Bank's hydrological and meteorological data 13
azmr/colourblind An API for simulating colourblindness and checking contrast in graphics. 27
ropensci/osmplotr A package for visualizing OpenStreetMap data in R, enabling customization of map appearance and highlighting specific regions or features. 135