Releases: hypertidy/vapour
old stuff
scratchpad files removed from inst/
inst/conversion/ — our conversion artifacts, served their purpose. Maybe keep the guide as a dev note but the cpp11-examples/ are now redundant (they are the headers)
inst/benchmarks/ — references raadfiles, dplyr, old API names (vapour_projection_info_cpp). Stale
inst/pbf/ — one-off Albania OSM test script. Stale
inst/readwrite/ — references hardcoded /rdsi/ paths. Stale
inst/stars/ — says "moved to hypertidy/discrete". Dead
inst/warpsandbox/ — dev exploration scripts with hardcoded paths. Stale
inst/shiny/ — references hardcoded BODC/GEBCO paths on /rdsi/. Stale, and adds a shiny-like structure to an API package
inst/cmd/stream.cpp — standalone C++ example for Arrow stream. Could be an issue/gist instead
inst/docker/ — single Dockerfile. Could live in repo root or .github/
Warp Raster
v0.6.5 update package doc
Warm Up To Anticonf
v0.4.0 fix link
You Have Failed To Consider Statically-Linked Libraries.
v0.3.0 2nd attempt, release 0.3.0 - remove projstring conversion
Skippy Limit
Condensation
The vapour package provides access to the basic read functions available in GDALfor both raster and a vector data sources.
The functions are deliberately lower-level than these data models and provide access to the
component entities independently.
For vector data vapour provides:
- read access to feature attributes.
- read access to raw binary geometry.
- read access to geometry in text forms (GeoJSON, WKT, GML, KML).
- read access to the extent, or bounding box, of feature geometries.
All vector/feature read tasks can optionally apply
OGRSQL to a layer prior to data extraction.
For raster data vapour provides:
- read access to the list of available rasters within a collection source (subdatasets).
- read access to structural metadata for individual raster sources.
- read access for raw data using GDAL's RasterIO framework and its dynamic image decimation / replication resampling algorithms.
The workflows available are intended to support development of applications in R for these vector and raster data without being constrained to any particular data model.