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Simple Features for R
Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations. Optionally uses the 's2' package for spherical geometry operations on geographic coordinates.
Display and Analyze ROC Curves
Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Wrapper for the Gnu Scientific Library
An R wrapper for some of the functionality of the Gnu Scientific Library.
Additive Partitions of Integers
Additive partitions of integers. Enumerates the partitions, unequal partitions, and restricted partitions of an integer; the three corresponding partition functions are also given. Set partitions are now included.
Create and Investigate Magic Squares
A collection of efficient, vectorized algorithms for the creation and investigation of magic squares and hypercubes, including a variety of functions for the manipulation and analysis of arbitrarily dimensioned arrays. The package includes methods for creating normal magic squares of any order greater than 2. The ultimate intention is for the package to be a computerized embodiment all magic square knowledge, including direct numerical verification of properties of magic squares (such as recent results on the determinant of odd-ordered semimagic squares). Some antimagic functionality is included. The package also serves as a rebuttal to the often-heard comment "I thought R was just for statistics".
Propensity to Cycle Tool
Functions and example data to teach and
increase the reproducibility of the methods and code underlying
the Propensity to Cycle Tool (PCT), a research project and web application
hosted at < https://www.pct.bike/>.
For an academic paper on the methods,
see Lovelace et al (2017)
Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Datasets for Spatial Analysis
Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Sustainable Transport Planning
Tools for transport planning with an emphasis on spatial transport
data and non-motorized modes. Enables common transport planning tasks including:
downloading and cleaning transport datasets; creating geographic "desire lines"
from origin-destination (OD) data; route assignment, locally and via
interfaces to routing services such as < https://cyclestreets.net/> and
calculation of route segment attributes such as bearing.
The package implements the 'travel flow aggregration' method
described in Morgan and Lovelace (2020)
Miscellaneous Useful Functions for Statistics
A series of functions in some way considered useful to the author. These include functions for subsetting tables and generating indices for arrays, conditioning and intervening in probability distributions, generating combinations and more...