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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. Uses by default the 's2' package for spherical geometry operations on ellipsoidal (long/lat) 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.
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.
Create and Investigate Magic Squares
A collection of functions for the manipulation and analysis of arbitrarily dimensioned arrays. The original motivation for the package was the development of efficient, vectorized algorithms for the creation and investigation of magic squares and high-dimensional magic hypercubes.
Wrapper for the Gnu Scientific Library
An R wrapper for some of the functionality of the Gnu Scientific Library.
Manipulate and Map Origin-Destination Data
The aim of 'od' is to provide tools and example datasets for working with
origin-destination ('OD') datasets of the type used to describe aggregate
urban mobility patterns (Carey et al. 1981)
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)
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 and now compositions and riffle shuffles are included.
Sustainable Transport Planning
Tools for transport planning with an emphasis on spatial
transport data and non-motorized modes. Create geographic "desire
lines" from origin-destination (OD) data (building on the 'od'
package); calculate routes on the transport network locally and via
interfaces to routing services such as < https://cyclestreets.net/>;
calculate route segment attributes such as bearing. The package
implements the 'travel flow aggregration' method described in Morgan
and Lovelace (2020)
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.