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Spatial Extent Tools
Functions to produce a fully fledged 'geo-spatial' object extent as a 'SpatialPolygonsDataFrame'. Also included are functions to generate polygons from raster data using 'quadmesh' techniques, a round number buffered extent, and general spatial-extent and 'raster-like' extent helpers missing from the originating packages. Some latitude-based tools for polar maps are included.
Constrained Triangulation for Simple Features
Build a constrained high quality Delaunay triangulation from simple features objects, applying constraints based on input line segments, and triangle properties including maximum area, minimum internal angle. The triangulation code in 'RTriangle' uses the method of Cheng, Dey and Shewchuk (2012, ISBN:9781584887300). For a low-dependency alternative with low-quality path-based constrained triangulation see < https://CRAN.R-project.org/package=decido> and for high-quality configurable triangulation see < https://github.com/hypertidy/anglr>. Also consider comparison with the 'GEOS' lib which since version 3.10.0 includes a low quality polygon triangulation method that starts with ear clipping and refines to Delaunay.
Convolution-Based Nonstationary Spatial Modeling
Fits convolution-based nonstationary Gaussian process models to point-referenced spatial data. The nonstationary covariance function allows the user to specify the underlying correlation structure and which spatial dependence parameters should be allowed to vary over space: the anisotropy, nugget variance, and process variance. The parameters are estimated via maximum likelihood, using a local likelihood approach. Also provided are functions to fit stationary spatial models for comparison, calculate the Kriging predictor and standard errors, and create various plots to visualize nonstationarity.
Southern Ocean Frontal Distributions (Orsi)
A data set package with the "Orsi" and "Park/Durand" fronts as 'SpatialLinesDataFrame' objects. The Orsi et al. (1995) fronts are published at the Southern Ocean Atlas Database Page, and the Park et al. (2019) fronts are published at the 'SEANOE' Altimetry-derived Antarctic Circumpolar Current fronts page, please see package CITATION for details.
Tools for 'ROMS' the Regional Ocean Modeling System
Helper functions for working with Regional Ocean Modeling System 'ROMS' output. See < https://www.myroms.org/> for more information about 'ROMS'.
Principal Component Analysis Applied to Ridit Scoring
Implements the 'PRIDIT' (Principal Component Analysis applied to
'RIDITs') scoring system described in Brockett et al. (2002)
Parsimonious Gaussian Mixture Models
Carries out model-based clustering or classification using parsimonious Gaussian mixture models. McNicholas and Murphy (2008)
Convert Spatial Data Using Tidy Tables
Tools to convert from specific formats to more general forms of spatial data. Using tables to store the actual entities present in spatial data provides flexibility, and the functions here deliberately minimize the level of interpretation applied, leaving that for specific applications. Includes support for simple features, round-trip for 'Spatial' classes and long-form tables, analogous to 'ggplot2::fortify'. There is also a more 'normal form' representation that decomposes simple features and their kin to tables of objects, parts, and unique coordinates.
Agro-Climatic Data by County
The functions are designed to calculate the most widely-used county-level variables in agricultural production or agricultural-climatic and weather analyses. To operate some functions in this package needs download of the bulk PRISM raster. See the examples, testing versions and more details from: < https://github.com/ysd2004/acdcR>.
Gradient and Vesselness Tools for Arrays and NIfTI Images
Simple functions for calculating the image gradient, image hessian, volume ratio filter, and Frangi vesselness filter of 3-dimensional volumes.