Package index • spatialplanr

Organise Data

Functions to get data organised

splnr_get_IUCNRedList(): Match Species to IUCN RedList

splnr_get_MPAs(): Get marine parks from the WDPA.

splnr_get_boundary(): Get the boundary of the planning region.

splnr_get_distCoast(): Function to compute distances to nearest coastline for each centroid of each planning unit in the 'sf' object provided.

splnr_get_featureRep(): Prepare data to plot how well targets are met

splnr_get_gfw(): The get_gfwData function recover the data of Global Fishing Watch and returns it as a sf object.

splnr_get_kappaCorrData(): Prepare data to plot Cohen's Kappa correlation matrix

splnr_get_selFreq(): Prepare data to plot Selection Frequency of planning units

Assign Targets

Functions to assign targets by various methods

splnr_targets_byCategory(): Assign targets to all features by category

splnr_targets_byIUCN(): Assign targets bu IUCN Red List categories

splnr_targets_byInverseArea(): Assign targets by Inverse Area

Climate-smart

Functions to create climate-smart prioritisations

splnr_climate_featureApproach(): Function to run the feature approach

splnr_climate_percentileApproach(): Function to run the percentile approach

splnr_climate_priorityAreaApproach(): Function to run the climate-priority-area approach

Plotting

Functions for plotting.

splnr_plot(): Function to plot data.

splnr_plot_MPAs(): Plot MPAs

splnr_plot_binFeature(): Plot binary feature

splnr_plot_circBplot(): Plot circular barplot

splnr_plot_climData(): Plot climate data

splnr_plot_climKernelDensity(): Kernel Density Plots for climate-smart spatial plans

splnr_plot_comparison(): Plot solution comparison

splnr_plot_corrMat(): Plot correlation matrices

splnr_plot_cost(): Plot cost

splnr_plot_costOverlay(): Plot cost overlay

splnr_plot_featureNo(): Plot number of features

splnr_plot_featureRep(): Plot how well targets are met

splnr_plot_importanceScore(): Plot importance score

splnr_plot_selectionFreq(): Plot selection frequency of a planning unit in an array of prioritisations

splnr_plot_solution(): Plot prioritizr solution

splnr_gg_add(): Add-ons for plotting

Utilities

Helper functions.

splnr_apply_cutoffs(): Function to apply cutoffs to feature data

splnr_arrangeFeatures(): Ensure all features are in the same order.

splnr_convert_regionalisation() deprecated: Function to interpolate regionalisation data onto Planning Units

splnr_convert_toPUs() deprecated: Function to interpolate data onto Planning Units

splnr_create_polygon(): Function for creating polygon

splnr_replace_NAs(): Remove NAs from spatial data using nearest neighbour

splnr_scale_01(): Scale spatial layers to between 0 and 1

splnr_featureNames(): Returns the feature names

splnr_match_names(): Substitute numbers for all_names in regionalisations

Built in datasets

dat_PUs: Planning Units

dat_bathy: Bathymetry Data

dat_bndry: Boundary of planning units

dat_category: Category vector

dat_category2: Category vector

dat_clim: Climate metric data

dat_mpas: MPA Data

dat_region: Regionalisation

dat_species_bin: Binary Species Data

dat_species_bin2: Binary Species Data 2

dat_species_prob: Probability Species Data

CoralSeaVelocity: Example climate velocity for the example region of the coral sea

IUCN_IA_Targets: IUCN and Inverse Area based Targets for Aquamaps example species

MPAsCoralSea: Current MPAs of the Coral Sea

spDataFiltered: Example data