rspatial r-universe repositoryhttps://rspatial.r-universe.devPackage updated in rspatialcranlike-server https://github.com/rspatial.png?size=400rspatial r-universe repositoryhttps://rspatial.r-universe.devMon, 14 Oct 2024 15:14:16 GMT[rspatial] terra 1.8-0r.hijmans@gmail.com (Robert J. Hijmans)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
<https://rspatial.org/> to get started. 'terra' replaces the
'raster' package ('terra' can do more, and it is faster and
easier to use).https://github.com/r-universe/rspatial/actions/runs/11331335987Mon, 14 Oct 2024 15:14:16 GMTterra1.8-0successhttps://rspatial.r-universe.devhttps://github.com/rspatial/terra[rspatial] geosphere 1.5-20r.hijmans@gmail.com (Robert J. Hijmans)Spherical trigonometry for geographic applications. That
is, compute distances and related measures for angular
(longitude/latitude) locations.https://github.com/r-universe/rspatial/actions/runs/11155265943Thu, 03 Oct 2024 02:47:03 GMTgeosphere1.5-20successhttps://rspatial.r-universe.devhttps://github.com/rspatial/geospheregeosphere.Rnwgeosphere.pdfIntroduction to the geosphere package2018-08-20 15:02:042018-08-20 15:02:04[rspatial] predicts 0.1-15r.hijmans@gmail.com (Robert J. Hijmans)Methods for spatial predictive modeling, especially for
spatial distribution models. This includes algorithms for model
fitting and prediction, as well as methods for model
evaluation.https://github.com/r-universe/rspatial/actions/runs/11153897936Wed, 02 Oct 2024 23:17:23 GMTpredicts0.1-15successhttps://rspatial.r-universe.devhttps://github.com/rspatial/predicts[rspatial] raster 3.6-30r.hijmans@gmail.com (Robert J. Hijmans)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 This package has been superseded by the "terra"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>.https://github.com/r-universe/rspatial/actions/runs/11148378341Wed, 02 Oct 2024 16:31:52 GMTraster3.6-30successhttps://rspatial.r-universe.devhttps://github.com/rspatial/raster[rspatial] geodata 0.6-2r.hijmans@gmail.com (Robert J. Hijmans)Functions for downloading of geographic data for use in
spatial analysis and mapping. The package facilitates access to
climate, crops, elevation, land use, soil, species occurrence,
accessibility, administrative boundaries and other data.https://github.com/r-universe/rspatial/actions/runs/10988207624Thu, 25 Jul 2024 22:53:29 GMTgeodata0.6-2successhttps://rspatial.r-universe.devhttps://github.com/rspatial/geodata[rspatial] luna 0.3-6r.hijmans@gmail.com (Robert J. Hijmans)Tools for acquiring and (pre-) processing satellite remote
sensing data. Including for downloading data from NASA such as
LANDSAT and MODIS.https://github.com/r-universe/rspatial/actions/runs/11119289002Sun, 28 Jan 2024 16:30:21 GMTluna0.3-6successhttps://rspatial.r-universe.devhttps://github.com/rspatial/luna[rspatial] dismo 1.3-14r.hijmans@gmail.com (Robert J. Hijmans)Methods for species distribution modeling, that is,
predicting the environmental similarity of any site to that of
the locations of known occurrences of a species.https://github.com/r-universe/rspatial/actions/runs/11173325078Sun, 10 Sep 2023 18:07:34 GMTdismo1.3-14successhttps://rspatial.r-universe.devhttps://github.com/rspatial/dismosdm.Rnwsdm.pdfSDM2018-08-20 15:02:582020-11-13 21:37:09[rspatial] rspat 1.0-1r.hijmans@gmail.com (Robert J. Hijmans)Data to support the examples on rspatial.orghttps://github.com/r-universe/rspatial/actions/runs/11099430532Wed, 08 Mar 2023 03:28:09 GMTrspat1.0-1successhttps://rspatial.r-universe.devhttps://github.com/rspatial/rspat[rspatial] rspatial 1.0-0r.hijmans@gmail.com (Robert J. Hijmans)Data to support the examples on rspatial.orghttps://github.com/r-universe/rspatial/actions/runs/11303318461Wed, 08 Apr 2020 22:43:38 GMTrspatial1.0-0successhttps://rspatial.r-universe.devhttps://github.com/rspatial/rspatial