Package index • sciSpatialR

Reference layers

The Alberta boundary, the 1 km reference grid, and the project CRS that every other function harmonizes to.

ab_boundary(): Alberta provincial boundary
ab_crs(): Default coordinate reference system for Alberta workflows
ab_grid(): ABMI 1 km reference grid

Harmonization

Bring a layer onto the reference grid – reproject, mask to the provincial boundary, resample – and confirm the result aligns.

harmonize_crs(): Transform points to the CRS of a reference raster
mask_to_boundary(): Mask a raster to a boundary polygon
resample_to_grid(): Align a raster to a reference grid
check_alignment(): Check alignment of a spatial layer against a reference grid

Extraction

Attach layer values to survey locations: at the point, within a buffer, as class composition, or by containing polygon.

extract_points(): Extract raster values at point locations
extract_buffer(): Extract a summary statistic within one or more buffer radii
extract_proportion(): Extract class proportions within a buffer for categorical layers
extract_vector(): Point-in-polygon attribute join

Inspection

Summary statistics and quick-look plots for checking a layer before it enters a model.

raster_stats(): Summarise raster cell values
plot_raster(): Plot a raster with a stretched colour scale and boundary
plot_hist(): Plot a histogram of raster cell values
theme_science_map(): Minimal ggplot2 theme for scientific map figures

Catalogue

Discover and retrieve canonical layers from the ABMI spatial data share.

spatial_root(): Location of the spatial data share
list_themes(): List the catalogue's themes
list_layers(): List catalogue contents
find_layer(): Filter the catalogue by theme, keyword, year, extent, or resolution
get_layer(): Load a catalogued layer, or return its path
layer_files(): List the spatial data files in a layer folder
build_catalogue(): Build the catalogue manifest by scanning the data share

Metadata

Read and audit the readme files stored beside each layer on the share.

layer_meta(): Return provenance metadata for a catalogue layer
read_metadata(): Read a spatial metadata readme
as_metadata_row(): Flatten parsed metadata to a one-row data.frame
check_metadata(): Audit metadata completeness across the catalogue

Print methods

Console formatting for the package’s S3 classes.

print(<sciSpatial_audit>): Print a compact view of a metadata audit
print(<sciSpatial_metadata>): Print a metadata object
print(<sciSpatial_themes>): Print a compact view of the themes

Package

sciSpatialR sciSpatialR-package: sciSpatialR: Spatial Harmonization and Covariate Extraction