Showing 13 of total 13 results (show query)
rspatial
raster: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 This package has been superseded by the "terra" package 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>.
Maintained by Robert J. Hijmans. Last updated 5 days ago.
163 stars 17.23 score 58k scripts 562 dependents
bioc
IRanges:Foundation of integer range manipulation in Bioconductor
Provides efficient low-level and highly reusable S4 classes for storing, manipulating and aggregating over annotated ranges of integers. Implements an algebra of range operations, including efficient algorithms for finding overlaps and nearest neighbors. Defines efficient list-like classes for storing, transforming and aggregating large grouped data, i.e., collections of atomic vectors and DataFrames.
Maintained by Hervé Pagès. Last updated 2 months ago.
infrastructuredatarepresentationbioconductor-packagecore-package
22 stars 16.09 score 2.1k scripts 1.8k dependentsbioc
S4Vectors:Foundation of vector-like and list-like containers in Bioconductor
The S4Vectors package defines the Vector and List virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of Vector or List. In addition, a few low-level concrete subclasses of general interest (e.g. DataFrame, Rle, Factor, and Hits) are implemented in the S4Vectors package itself (many more are implemented in the IRanges package and in other Bioconductor infrastructure packages).
Maintained by Hervé Pagès. Last updated 2 months ago.
infrastructuredatarepresentationbioconductor-packagecore-package
18 stars 16.05 score 1.0k scripts 1.9k dependents
environmentalinformatics-marburg
satellite:Handling and Manipulating Remote Sensing Data
Herein, we provide a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set.
Maintained by Florian Detsch. Last updated 1 years ago.
22 stars 9.88 score 61 scripts 27 dependents
randy3k
collections:High Performance Container Data Types
Provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Maintained by Randy Lai. Last updated 2 years ago.
104 stars 9.14 score 215 scripts 27 dependents
mschubert
narray:Subset- And Name-Aware Array Utility Functions
Stacking arrays according to dimension names, subset-aware splitting and mapping of functions, intersecting along arbitrary dimensions, converting to and from data.frames, and many other helper functions.
Maintained by Michael Schubert. Last updated 2 months ago.
27 stars 6.91 score 10 scripts 10 dependents
sylvainschmitt
rcontroll:Individual-Based Forest Growth Simulator 'TROLL'
'TROLL' is coded in C++ and it typically simulates hundreds of thousands of individuals over hundreds of years. The 'rcontroll' R package is a wrapper of 'TROLL'. 'rcontroll' includes functions that generate inputs for simulations and run simulations. Finally, it is possible to analyse the 'TROLL' outputs through tables, figures, and maps taking advantage of other R visualisation packages. 'rcontroll' also offers the possibility to generate a virtual LiDAR point cloud that corresponds to a snapshot of the simulated forest.
Maintained by Sylvain Schmitt. Last updated 6 months ago.
6 stars 5.84 score 19 scripts
psolymos
mefa4:Multivariate Data Handling with S4 Classes and Sparse Matrices
An S4 update of the 'mefa' package using sparse matrices for enhanced efficiency. Sparse array-like objects are supported via lists of sparse matrices.
Maintained by Peter Solymos. Last updated 6 months ago.
data-manipulationecologysparse-matrices
5.34 score 368 scripts 2 dependents
datacloning
dcmle:Hierarchical Models Made Easy with Data Cloning
S4 classes around infrastructure provided by the 'coda' and 'dclone' packages to make package development easy as a breeze with data cloning for hierarchical models.
Maintained by Peter Solymos. Last updated 6 months ago.
4.60 score 66 scripts 2 dependentsbioc
MinimumDistance:A Package for De Novo CNV Detection in Case-Parent Trios
Analysis of de novo copy number variants in trios from high-dimensional genotyping platforms.
Maintained by Robert Scharpf. Last updated 5 months ago.
microarraysnpcopynumbervariation
3.60 score 10 scripts
ecor
rasterList:A Raster Where Cells are Generic Objects
A S4 class has been created such that complex operations can be executed on each cell of a raster map. The raster of objects contains a raster map with the addition of a list of generic objects: one object for each raster cells. It allows to write few lines of R code for complex map algebra. Two environmental applications about frequency analysis of raster map of precipitation and creation of a raster map of soil water retention curves have been presented.
Maintained by Emanuele Cordano. Last updated 2 years ago.
climatehydrologyhydrology-statisticalhydrology-stormwater-analysis
1 stars 3.34 score 22 scripts
gaborcsardi
rstack:Stack Data Type as an 'R6' Class
An extremely simple stack data type, implemented with 'R6' classes. The size of the stack increases as needed, and the amortized time complexity is O(1). The stack may contain arbitrary objects.
Maintained by Gábor Csárdi. Last updated 2 years ago.
3.18 score 7 scripts 1 dependents
kwb-r
kwb.rect:R Package for Plotting Rectangles
This package provides functions to define and plot rectangles, e.g. to plot rectangles side-by-side or on top of each other.
Maintained by Hauke Sonnenberg. Last updated 9 months ago.
1.70 score