R-universe search: needs:exactextractr

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prioritizr

prioritizr:Systematic Conservation Prioritization in R

Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from <https://www.gurobi.com/>) and the 'gurobi' R package (see Gurobi Installation Guide vignette for details). Users can also install the IBM CPLEX software (<https://www.ibm.com/products/ilog-cplex-optimization-studio/cplex-optimizer>) and the 'cplexAPI' R package (available at <https://github.com/cran/cplexAPI>). Additionally, the 'rcbc' R package (available at <https://github.com/dirkschumacher/rcbc>) can be used to generate solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>). For further details, see Hanson et al. (2025) <doi:10.1111/cobi.14376>.

Maintained by Richard Schuster. Last updated 6 days ago.

biodiversity conservation conservation-planner optimization prioritization solver spatial cpp

124 stars 11.71 score 584 scripts 2 dependents

bleutner

RStoolbox:Remote Sensing Data Analysis

Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.

Maintained by Konstantin Mueller. Last updated 2 months ago.

ggplot2 land-cover-mapping remote-sensing spectral-unmixing supervised-classification unsupervised-classification openblas cpp

275 stars 10.10 score 1.1k scripts

niehs

amadeus:Accessing and Analyzing Large-Scale Environmental Data

Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.

Maintained by Kyle Messier. Last updated 1 months ago.

8 stars 7.07 score 13 scripts

nepem-ufsc

pliman:Tools for Plant Image Analysis

Tools for both single and batch image manipulation and analysis (Olivoto, 2022 <doi:10.1111/2041-210X.13803>) and phytopathometry (Olivoto et al., 2022 <doi:10.1007/S40858-021-00487-5>). The tools can be used for the quantification of leaf area, object counting, extraction of image indexes, shape measurement, object landmark identification, and Elliptical Fourier Analysis of object outlines (Claude (2008) <doi:10.1007/978-0-387-77789-4>). The package also provides a comprehensive pipeline for generating shapefiles with complex layouts and supports high-throughput phenotyping of RGB, multispectral, and hyperspectral orthomosaics. This functionality facilitates field phenotyping using UAV- or satellite-based imagery.

Maintained by Tiago Olivoto. Last updated 6 days ago.

openblas fftw3 cpp openmp

11 stars 6.76 score 476 scripts

mikejohnson51

zonal:Performant zonal statistics over flexible units

Given gridded and vector based input, compute summary statistics.

Maintained by Mike Johnson. Last updated 4 months ago.

geospatial gridded-data noaa-owp summary-stats

29 stars 6.30 score 57 scripts

worldbank

blackmarbler:Black Marble Data and Statistics

Geographically referenced data and statistics of nighttime lights from NASA Black Marble <https://blackmarble.gsfc.nasa.gov/>.

Maintained by Robert Marty. Last updated 1 months ago.

nasa nasa-data nasa-earth-data nighttime-lights raster-data viirs worldbank zonal-statistics

22 stars 6.19 score 47 scripts

ropensci

chopin:Computation of Spatial Data by Hierarchical and Objective Partitioning of Inputs for Parallel Processing

Geospatial data computation is parallelized by grid, hierarchy, or raster files. Based on future and mirai parallel backends, terra and sf functions as well as convenience functions in the package can be distributed over multiple threads. The simplest way of parallelizing generic geospatial computation is to start from `par_pad_*` functions to `par_grid`, `par_hierarchy`, or `par_multirasters` functions. Virtually any functions accepting classes in terra or sf packages can be used in the three parallelization functions. A common raster-vector overlay operation is provided as a function `extract_at`, which uses exactextractr, with options for kernel weights for summarizing raster values at vector geometries. Other convenience functions for vector-vector operations including simple areal interpolation (`summarize_aw`) and summation of exponentially decaying weights (`summarize_sedc`) are also provided.

Maintained by Insang Song. Last updated 1 months ago.

16 stars 6.04 score 23 scripts

cadam00

prior3D:3D Prioritization Algorithm

Three-dimensional systematic conservation planning, conducting nested prioritization analyses across multiple depth levels and ensuring efficient resource allocation throughout the water column. It provides a structured workflow designed to address biodiversity conservation and management challenges in the 3 dimensions, while facilitating users’ choices and parameterization (Doxa et al. 2025 <doi:10.1016/j.ecolmodel.2024.110919>).

Maintained by Christos Adam. Last updated 2 months ago.

biodiversity conservation conservation-planning depth marine-spatial-planning multidimensional-environments prioritization

6 stars 5.62 score 3 scripts

mpio-be

rangeMapper:A Platform for the Study of Macro-Ecology of Life History Traits

Tools for generation of (life-history) traits and diversity maps on hexagonal or square grids. Valcu et al.(2012) <doi:10.1111/j.1466-8238.2011.00739.x>.

Maintained by Mihai Valcu. Last updated 2 years ago.

assemblage-level ecology global life-history-traits raster-cell species

8 stars 5.38 score 30 scripts

cadam00

priorCON:Graph Community Detection Methods into Systematic Conservation Planning

An innovative tool-set that incorporates graph community detection methods into systematic conservation planning. It is designed to enhance spatial prioritization by focusing on the protection of areas with high ecological connectivity. Unlike traditional approaches that prioritize individual planning units, 'priorCON' focuses on clusters of features that exhibit strong ecological linkages. The 'priorCON' package is built upon the 'prioritizr' package <doi:10.32614/CRAN.package.prioritizr>, using commercial and open-source exact algorithm solvers that ensure optimal solutions to prioritization problems.

Maintained by Christos Adam. Last updated 2 months ago.

biodiversity community-detection conservation conservation-planning graph-theory prioritization

3 stars 5.37 score 13 scripts

truenomad

AgePopDenom:Model Fine-Scale Age-Structured Population Data using Open-Source Data

Automate the modelling of age-structured population data using survey data, grid population estimates and urban-rural extents.

Maintained by Mohamed A. Yusuf. Last updated 1 months ago.

1 stars 4.60 score 3 scripts

predictiveecology

CBMutils:Utilities for modelling carbon based on CBM-CFS3

Implementation of several components of the Carbon Budget Model of the Canadian Forest Service (v3).

Maintained by Alex M Chubaty. Last updated 6 days ago.

4.54 score 3 scripts

jeffreyevans

GeNetIt:Spatial Graph-Theoretic Genetic Gravity Modelling

Implementation of spatial graph-theoretic genetic gravity models. The model framework is applicable for other types of spatial flow questions. Includes functions for constructing spatial graphs, sampling and summarizing associated raster variables and building unconstrained and singly constrained gravity models.

Maintained by Jeffrey S. Evans. Last updated 2 years ago.

landscape-genetics r-spatial spatial statistics

9 stars 4.24 score 39 scripts

iiasa

mapspam2globiom:An R package to create crop distribution maps as input for GLOBIOM

The aim of the mapspam2globiom R package is to facilitate the creation of country level crop distribution maps, which can be used as input by the IIASA's Global Biosphere Management Model (GLOBIOM) for a selected country. mapspam2globiom includes several functions to aggregate crop distribution maps that were created with the mapspamc package (Van Dijk et al. 2022) to the GLOBIOM input format. mapspamc was specifically developed to create national crop distribution maps using the Spatial Production Allocation Model (SPAM) (You and Wood 2006; You, Wood, and Wood-Sichra 2009; You et al. 2014; Yu et al. 2020).

Maintained by Michiel van Dijk. Last updated 11 months ago.

2 stars 3.60 score 1 scripts

mrc-ide

naomi.utils:Utility Functions For Naomi Datasets

This package contains utility functions for creating and manipulating datasets for the Naomi model and related projects.

Maintained by Jeffrey Eaton. Last updated 10 days ago.

1 stars 1.94 score 11 scripts