Showing 36 of total 36 results (show query)

usdaforestservice

gdalraster:Bindings to the 'Geospatial Data Abstraction Library' Raster API

Interface to the Raster API of the 'Geospatial Data Abstraction Library' ('GDAL', <https://gdal.org>). Bindings are implemented in an exposed C++ class encapsulating a 'GDALDataset' and its raster band objects, along with several stand-alone functions. These support manual creation of uninitialized datasets, creation from existing raster as template, read/set dataset parameters, low level I/O, color tables, raster attribute tables, virtual raster (VRT), and 'gdalwarp' wrapper for reprojection and mosaicing. Includes 'GDAL' algorithms ('dem_proc()', 'polygonize()', 'rasterize()', etc.), and functions for coordinate transformation and spatial reference systems. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Includes raster 'calc()' to evaluate a given R expression on a layer or stack of layers, with pixel x/y available as variables in the expression; and raster 'combine()' to identify and count unique pixel combinations across multiple input layers, with optional output of the pixel-level combination IDs. Provides raster display using base 'graphics'. Bindings to a subset of the 'OGR' API are also included for managing vector data sources. Bindings to a subset of the Virtual Systems Interface ('VSI') are also included to support operations on 'GDAL' virtual file systems. These are general utility functions that abstract file system operations on URLs, cloud storage services, 'Zip'/'GZip'/'7z'/'RAR' archives, and in-memory files. 'gdalraster' may be useful in applications that need scalable, low-level I/O, or prefer a direct 'GDAL' API.

Maintained by Chris Toney. Last updated 1 days ago.

gdalgeospatialrastervectorcpp

7.6 match 42 stars 9.50 score 32 scripts 3 dependents

meierluk

hdi:High-Dimensional Inference

Implementation of multiple approaches to perform inference in high-dimensional models.

Maintained by Lukas Meier. Last updated 4 years ago.

6.5 match 2 stars 4.47 score 139 scripts 7 dependents

lcbc-uio

lcbcr:LCBC brand package

Functions and setups with brand styling and lab general setups.

Maintained by Athanasia Mo Mowinckel. Last updated 3 years ago.

5.4 match 3.00 score 2 scripts

cran

gss:General Smoothing Splines

A comprehensive package for structural multivariate function estimation using smoothing splines.

Maintained by Chong Gu. Last updated 5 months ago.

fortranopenblas

2.3 match 3 stars 6.40 score 137 dependents

lcbc-uio

noasr:NOAS convenience functions

Functions created to work well with LCBC's Nephew of All Spreadsheet data.

Maintained by Athanasia Mo Mowinckel. Last updated 4 years ago.

3.6 match 3.00 score 4 scripts