tas_data {prioritizrdata}

Tasmania data

Description

Conservation planning dataset for Tasmania, Australia.

Usage

get_tas_pu()

get_tas_features()

Format

tas_pu

sf::st_sf() object.

tas_features

terra::rast() object

Details

The following functions are provided to import data:

get_tas_pu

Import planning unit data. The planing units are a sf::st_sf() simple features object. Each row corresponds to a different planning unit, and columns contain information about the planning units. It has columns that contain: ("id") unique identifiers and ("cost") unimproved land values for the planning units. It also contains columns ("locked_in" and "locked_out") with logical values (i.e. TRUE or FALSE values) for locking in and locking out planning units. These data obtained from the "Introduction to Marxan" course and were originally generated as part of a larger spatial prioritization Resources (Klein et al. 2007).

get_tas_features

Import biodiversity feature data. The feature data are a multi-layer terra::rast() object. classes. Each layer corresponds to a different vegetation class and contains binary cell values that indicate the presence or absence of the vegetation class. These data were obtained from the Australian Government's National Vegetation Information System (Australian Government Department of Climate Change, Energy, the Environment and Water 2020).

References

Klein C, Carwardine J, Wilson K, Watts M, and Possingham H (2007) Spatial Prioritization Approaches for the Conservation of Biodiversity in Australia: Considering Conservation Costs, Ecological & Evolutionary Processes, and Large-Intact Areas. Report to the Department of Environment; Water Resources.

Australian Government Department of Climate Change, Energy, the Environment and Water (2020). National Vegetation Information System. Version 6.0. Available at http://environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B3F8AD12F-8300-45EC-A41A-469519A94039%7D.

Examples

# load packages
library(terra)
library(sf)

# load data
tas_pu <- get_tas_pu()
tas_features <- get_tas_features()

# preview planning units
print(tas_pu)
plot(tas_pu)

# plot features
print(tas_features)
plot(tas_features)