Package index • tidymapr

Maps and cartography

Automatic, explained maps, thematic maps, projections, graticules, basemaps and GeoSpaX-style map furniture.

geo_automap() geo_automap_explain(): Automatic publication maps that explain their choices
geo_map() map_raster() map_polygons() map_lines() map_points() map_labels() map_curved_labels() map_line_labels() map_contours() map_zoom() map_build(): Layered maps, built one layer at a time
map_presets(): Standard cartographic symbols
geo_panels() geo_facet_map() geo_inset(): Multi-panel map layouts
geo_map3d(): 3D terrain maps
geo_webmap(): Interactive web maps
plot_choropleth() plot_bubble(): Choropleth and bubble maps
plot_sites(): Publication-ready study-site maps
plot_geo(): Map Hill numbers (and coverage) in geographic space
plot_topo(): Map tree stems over topography
geo_crs() coord_projection() map_graticule(): Map projections and graticules
annotation_scale_bar() annotation_north_arrow() map_legend(): Scale bars, north arrows and legends in GeoSpaX styles
geo_basemap(): Basemaps for study-site and diversity maps
geo_breaks() geo_classify(): Classify a numeric column into map classes
geo_save(): Save a map figure (PNG, PDF, SVG, TIFF, JPEG)
theme_tidymapr(): Map theme
ggplot_add(<tmr_geo_basemap>): Add a tidymapr basemap to a ggplot

Interpolation and kriging, spatial autocorrelation and hotspots, distances, computed in C++ on several cores.

geo_interpolate(): Interpolate point measurements onto a grid
geo_hotspot() geo_lisa(): Local spatial statistics: hotspots and LISA clusters
geo_dbscan(): Point clusters with DBSCAN
geo_landscape(): Landscape fragmentation metrics
geo_moran(): Moran's I for spatial autocorrelation of diversity
geo_distance(): Pairwise geographic or elevational distances
geo_decay(): Distance decay with geographic, elevational or environmental distance
geo_mem(): Distance-based Moran's eigenvector maps (dbMEM)

D8 flow direction, flow accumulation, watersheds, the topographic wetness index and terrain derivatives.

geo_flow_direction() geo_flow_accumulation() geo_watershed() geo_twi(): Terrain hydrology: flow direction, accumulation, watersheds and TWI
geo_elevation(): Download or read elevation (SRTM-style DEM)

Spectral indices with Otsu thresholds and spectral diversity in Hill numbers.

geo_spectral_index(): Spectral indices from satellite bands
geo_spectral_diversity(): Spectral diversity in Hill numbers
geo_stac_collections() geo_stac_search() geo_stac_read(): Satellite imagery from STAC catalogues

GIS, CAD and remote sensing formats through GDAL, rasters and vectors as tidy objects, and environmental layers.

geo_read() geo_vector_read() geo_raster_read() geo_write() geo_vector_write() geo_raster_write(): Read and write spatial files through GDAL
geo_layers(): List what a spatial file contains
geo_buffer() geo_intersection() geo_difference() geo_union() geo_crop() geo_area() geo_centroid() geo_bbox() geo_join() geo_distance_to(): Tidy vector geometry verbs
geo_raster_crop() geo_raster_mask() geo_raster_resample() geo_raster_project() geo_raster_terrain() geo_raster_focal() geo_raster_zonal(): Tidy raster analysis verbs
geo_as_sf() geo_drop_geometry(): Convert site coordinates to an sf tibble
geo_extract(): Extract raster values at sites
as_sf() as_spat_raster(): Hand off spatial objects to tmap, leaflet and friends
geo_bioclim_vars() geo_bioclim() geo_worldclim() geo_chelsa(): Bioclimatic rasters (WorldClim and CHELSA)
geo_gadm(): Administrative boundaries from GADM

Diversity surfaces, occurrence records, spatial diversity patterns, species distribution models and forest plot maps.

geo_diversity_surface(): Map diversity as a continuous surface, with its uncertainty
plot_diversity_surface(): Plot diversity surfaces and their uncertainty
geo_clean(): Clean occurrence coordinates
geo_gbif(): Import GBIF-style occurrence records
geo_as_features(): Export a site-by-feature matrix for conservation planning
geo_rarefy_spatial(): Spatially constrained rarefaction
geo_grain(): Aggregate sites or rasters across grains (MAUP helpers)
geo_middomain(): Geometric mid-domain null for elevational richness
sdm_fit() sdm_predict() sdm_evaluate() plot_sdm(): Tidy species distribution models (presence-background / presence-absence)
sdm_maxent() predict(<tmr_maxent>): Maxent species distribution models, in C++
sdm_ensemble() predict(<tmr_sdm_ensemble>): Ensembles of species distribution models
stems_quadrat() stems_habitat() stems_neighbours(): Spatial verbs for ForestGEO-style stem maps
stems_habitat_test(): Torus-translation habitat association test (ForestGEO)

Read, write, check and run GeoSpaX recipes, shareable YAML workflows from data to map and report.

geo_recipe_read() geo_recipe() recipe_input() recipe_step() geo_recipe_write() geo_recipe_validate() geo_recipe_run(): GeoSpaX recipes: read, validate, run and write

png_ants_sites: GPS positions of the Mt Wilhelm ant bait transects
geo_example_sites(): Published GPS coordinates for the Mt Wilhelm study sites
geo_example_stems(): Simulated ForestGEO-style stem table for tests
geo_example_dem(): Simulated DEM for testing local metre stem maps
geo_example_censuses(): Two simulated censuses for testing demography code

tidymapr tidymapr-package: tidymapr: Tidy Mapping, Spatial Analysis and Publication Cartography
geo: Geospatial helpers for tidy biodiversity workflows