terra - Spatial Data Analysis
Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Last updated 21 hours ago
geospatialrasterspatialvector
17.51 score 543 stars 805 packages 16k scripts 198k downloadsraster - Geographic Data Analysis and Modeling
Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package <https://CRAN.R-project.org/package=terra>.
Last updated 2 months ago
17.16 score 161 stars 536 packages 57k scripts 136k downloadsgeosphere - Spherical Trigonometry
Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.
Last updated 2 months ago
13.76 score 36 stars 107 packages 5.1k scripts 39k downloadsdismo - Species Distribution Modeling
Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.
Last updated 1 years ago
11.79 score 25 stars 22 packages 2.6k scripts 9.6k downloadsgeodata - Download Geographic Data
Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, crops, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.
Last updated 4 months ago
10.62 score 154 stars 8 packages 1.2k scripts 9.4k downloadspredicts - Spatial Prediction Tools
Methods for spatial predictive modeling, especially for spatial distribution models. This includes algorithms for model fitting and prediction, as well as methods for model evaluation.
Last updated 2 months ago
6.71 score 10 stars 5 packages 71 scripts 1.6k downloadsluna - Tools for Satellite Remote Sensing (Earth Observation) Data Processing
Tools for acquiring and (pre-) processing satellite remote sensing data. Including for downloading data from NASA such as LANDSAT and MODIS.
Last updated 10 months ago
4.79 score 29 stars 47 scriptsmeteor - Meteorological Data Manipulation
A set of functions for weather and climate data manipulation, and other helper functions, to support dynamic ecological modeling, particularly crop and crop disease modeling.
Last updated 1 years ago
4.53 score 3 stars 3 packages 25 scripts 239 downloadsRwofost - WOFOST Crop Growth Simulation Model
An implementation of the WOFOST ("World Food Studies") crop growth model. WOFOST is a dynamic simulation model that uses daily weather data, and crop, soil and management parameters to simulate crop growth and development. See De Wit et al. (2019) <doi:10.1016/j.agsy.2018.06.018> for a recent review of the history and use of the model.
Last updated 2 months ago
4.18 score 20 stars 15 scripts 200 downloadsRecocrop - Estimating Environmental Suitability for Plants
The ecocrop model estimates environmental suitability for plants using a limiting factor approach for plant growth following Hackett (1991) <doi:10.1007/BF00045728>. The implementation in this package is fast and flexible: it allows for the use of any (environmental) predictor variable. Predictors can be either static (for example, soil pH) or dynamic (for example, monthly precipitation).
Last updated 3 years ago
3.78 score 11 stars 11 scripts 164 downloadsrspatial - rspatial.org data
Data to support the examples on rspatial.org
Last updated 5 years ago
3.48 score 6 stars 101 scriptsRquefts - Quantitative Evaluation of the Native Fertility of Tropical Soils
An implementation of the QUEFTS (Quantitative Evaluation of the Native Fertility of Tropical Soils) model. The model (1) estimates native nutrient (N, P, K) supply of soils from a few soil chemical properties; and (2) computes crop yield given that supply, crop parameters, fertilizer application, and crop attainable yield. See Janssen et al. (1990) <doi:10.1016/0016-7061(90)90021-Z> for the technical details and Sattari et al. (2014) <doi:10.1016/j.fcr.2013.12.005> for a recent evaluation and improvements.
Last updated 1 years ago
fertilizermodel
3.00 score 2 stars 4 scripts 284 downloadsrspat - rspatial.org data -- terra version
Data to support the examples on rspatial.org
Last updated 2 years ago
2.40 score 2 stars 25 scriptsphenorice - phenorice
An implementation of phenorice algorithm to detect rice crops from remote sensing data.
Last updated 5 years ago
2.40 score 5 stars 2 scripts