Tasmania data

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)
#> Simple feature collection with 1130 features and 4 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: 298809.6 ymin: 5167775 xmax: 613818.8 ymax: 5502544
#> Projected CRS: WGS 84 / UTM zone 55S
#> # A tibble: 1,130 × 5
#>       id  cost locked_in locked_out                                         geom
#>    <int> <dbl> <lgl>     <lgl>                                <MULTIPOLYGON [m]>
#>  1     1 60.2  FALSE     TRUE       (((328497 5497704, 326783.8 5500050, 326775…
#>  2     2 19.9  FALSE     FALSE      (((307121.6 5490487, 305344.4 5492917, 3053…
#>  3     3 59.7  FALSE     TRUE       (((321726.1 5492382, 320111 5494593, 320127…
#>  4     4 32.4  FALSE     FALSE      (((304314.5 5494324, 304342.2 5494287, 3043…
#>  5     5 26.2  FALSE     FALSE      (((314958.5 5487057, 312336 5490646, 312339…
#>  6     6 51.3  FALSE     FALSE      (((327904.3 5491218, 326594.6 5493012, 3284…
#>  7     7 32.3  FALSE     FALSE      (((308194.1 5481729, 306601.2 5483908, 3066…
#>  8     8 38.4  FALSE     FALSE      (((322792.7 5483624, 319965.3 5487497, 3199…
#>  9     9  3.55 FALSE     FALSE      (((334896.6 5490731, 335610.4 5492490, 3357…
#> 10    10  1.83 FALSE     FALSE      (((356377.1 5487952, 353903.1 5487635, 3538…
#> # ℹ 1,120 more rows
plot(tas_pu)


# plot features
print(tas_features)
#> class       : SpatRaster 
#> dimensions  : 398, 359, 33  (nrow, ncol, nlyr)
#> resolution  : 1000, 1000  (x, y)
#> extent      : 288801.7, 647801.7, 5142976, 5540976  (xmin, xmax, ymin, ymax)
#> coord. ref. : WGS 84 / UTM zone 55S (EPSG:32755) 
#> source      : tas_features.tif 
#> names       : Banks~lands, Bould~marks, Calli~lands, Cool ~orest, Eucal~hyll), Eucal~torey, ... 
#> min values  :           0,           0,           0,           0,           0,           0, ... 
#> max values  :           1,           1,           1,           1,           1,           1, ... 
plot(tas_features)