# Buildsheet autogenerated by ravenadm tool -- Do not edit.

NAMEBASE=		R-terra
VERSION=		1.8-93
KEYWORDS=		cran
VARIANTS=		std
SDESC[std]=		Spatial Data Analysis
HOMEPAGE=		https://rspatial.org/
CONTACT=		CRAN_Automaton[cran@ironwolf.systems]

DOWNLOAD_GROUPS=	main
SITES[main]=		CRAN/src/contrib
			https://loki.dragonflybsd.org/cranfiles/
DISTFILE[1]=		terra_1.8-93.tar.gz:main
DIST_SUBDIR=		CRAN
DF_INDEX=		1
SPKGS[std]=		single

OPTIONS_AVAILABLE=	none
OPTIONS_STANDARD=	none

BUILD_DEPENDS=		geos:dev:std
			proj:dev:std
			gdal:dev:std
			netcdf:dev:std
BUILDRUN_DEPENDS=	R-Rcpp:single:std
			gdal:primary:std
			geos:primary:std
			netcdf:primary:std

USES=			cran gmake sqlite

DISTNAME=		terra

GENERATED=		yes

MAKE_ENV=		PKG_LIBS=-lnetcdf

INSTALL_REQ_TOOLCHAIN=	yes

[FILE:644:descriptions/desc.single]
terra: Spatial Data Analysis

Methods for spatial data analysis with vector (points, lines, polygons) and
raster (grid) data. Methods for vector data include geometric operations
such as intersect and buffer. Raster methods include local, focal, global,
zonal and geometric operations. The predict and interpolate methods
facilitate the use of regression type (interpolation, machine learning)
models for spatial prediction, including with satellite remote sensing
data. Processing of very large files is supported. See the manual and
tutorials on &lt;<a href="https://rspatial.org/"
target="_top">https://rspatial.org/</a>&gt; to get started.


[FILE:103:distinfo]
91aa0b74e9ab8fe3503758756314fb8fc1d92b500da537de82d82cea51692a41      1064836 CRAN/terra_1.8-93.tar.gz