fasterize
Rasterizer
High-performance raster conversion tool for polygons in spatial data
High performance raster conversion for modern spatial data 🚀🌏▦
182 stars
10 watching
15 forks
Language: C++
last commit: 4 months ago
Linked from 1 awesome list
rrasterrcpprcpparmadillorstatssfspatial
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
 erkaman/sse-avx-rasterization | A source code implementation of triangle rasterization routines accelerated using SIMD instructions | 67 |
 corteva/geocube | Converts geopandas vector data into rasterized xarray data | 344 |
 msalib/geo-rasterize | A Rust crate that rasterizes geospatial polygons onto raster images | 39 |
 rspatial/terra | An R package for spatial data analysis and processing of raster data. | 546 |
 aertslab/scope | A tool for fast visualization of large-scale single-cell data | 68 |
 16eagle/getspatialdata | An R package for querying, preprocessing and downloading various spatial datasets from public APIs. | 304 |
 isciences/exactextractr | A package for fast and accurate raster zonal statistics calculations using C++. | 281 |
 ahhz/raster | A C++ library for analyzing and processing raster data from GIS sources | 50 |
 joshobrien/rasterdt | Provides fast alternatives to raster package functions in R for efficient data processing and analysis of geospatial data. | 27 |
| isciences/exactextract | An algorithm for efficiently calculating statistics from overlapping raster data and polygons. | 264 |
 pcwalton/pathfinder | A fast and practical GPU-based rasterizer for fonts and vector graphics. | 110 |
 makepath/xarray-spatial | A Python library for efficient raster analysis and processing of spatial data | 848 |
 r-spatial/rgee | Enables R users to access and analyze remote sensing data on Google's cloud-based platform | 694 |
 h-a-graham/raytrix | Provides a spatial framework and convenience functions for accessing and translating spatial data | 23 |
 rafaqz/rasters.jl | A Julia package providing common types and methods for reading, writing, and manipulating rasterized spatial data. | 217 |