Package: sx 0.0.0.9000

sx: Scalable Spatial Data Analysis Using 'SedonaDB'

Provides scalable spatial operations on vector and raster data using 'Apache SedonaDB' ('DataFusion'-based spatial engine) as backend. Enables efficient processing of large spatial datasets without loading all data into 'R' memory, leveraging 'DuckDB' and 'Arrow' for high-performance I/O.

Authors:Egor Kotov [aut, cre, cph]

sx_0.0.0.9000.tar.gz
sx_0.0.0.9000.zip(r-4.7-any)sx_0.0.0.9000.zip(r-4.6-any)sx_0.0.0.9000.zip(r-4.5-any)
sx_0.0.0.9000.tgz(r-4.6-any)sx_0.0.0.9000.tgz(r-4.5-any)
sx_0.0.0.9000.tar.gz(r-4.7-any)sx_0.0.0.9000.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sx/json (API)

# Install 'sx' in R:
install.packages('sx', repos = c('https://e-kotov.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/e-kotov/sx/issues

Pkgdown/docs site:https://www.ekotov.pro

On CRAN:

Conda:

2.48 score 6 stars 6 scripts 25 exports 38 dependencies

Last updated from:cf364750bd. Checks:7 ERROR, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR1328
source / vignettesOK1338
linux-releaseERROR1376
macos-releaseERROR118
macos-oldrelERROR155
windows-develERROR135
windows-releaseERROR131
windows-oldrelERROR155
wasm-releaseFAIL1700

Exports:sx_as_viewsx_buffersx_centroidsx_collectsx_create_tablesx_crssx_driverssx_drop_viewsx_duckdb_to_sedonasx_envelopesx_filtersx_geometry_columnsx_interpolate_awsx_joinsx_layerssx_limit_duckdb_connsx_listsx_optionssx_readsx_simplifysx_sitrepsx_sqlsx_transformsx_use_s2sx_write

Dependencies:blobclassclassIntclicpp11DBIdbplyrdplyrduckdbe1071genericsgeoarrowgluejsonliteKernSmoothlifecyclemagrittrnanoarrowpillarpkgconfigproxypurrrR6Rcpprlangs2sedonadbsfstringistringrtibbletidyrtidyselectunitsutf8vctrswithrwk