View source: R/MK_ProtConn_raster.R
MK_ProtConn_raster | R Documentation |
Estimate Protected Connected (ProtConn) indicator and fractions for one region.
MK_ProtConn_raster(
nodes,
region,
area_unit = "m2",
distance = list(type = "centroid", resistance = NULL),
distance_thresholds,
probability,
transboundary = NULL,
transboundary_type = "nodes",
protconn_bound = FALSE,
delta = FALSE,
plot = FALSE,
resample_raster = NULL,
write = NULL,
parallel = NULL,
intern = TRUE
)
nodes |
raster. The file must have a projected coordinate system. |
region |
object of class |
area_unit |
|
distance |
A |
distance_thresholds |
A |
probability |
A |
transboundary |
|
transboundary_type |
|
protconn_bound |
|
delta |
|
plot |
|
resample_raster |
|
write |
|
parallel |
|
intern |
|
Table with the following ProtConn values: ECA, Prot, ProtConn, ProtUnconn, RelConn, ProtUnConn[design], ProtConn[bound], ProtConn[Prot], ProtConn[Within],
ProtConn[Contig], ProtConn[Trans], ProtConn[Unprot], ProtConn[Within][land], ProtConn[Contig][land],
ProtConn[Unprot][land], ProtConn[Trans][land]
- If plot is not NULL a list
is returned with the ProtConn table and a plots.
- If delta is TRUE
then it returns an sf class object with the importance value (contribution to ProtConn) for each node in the region.
Saura, S., Bastin, L., Battistella, L., Mandrici, A., & Dubois, G. (2017). Protected areas in the world’s ecoregions: How well connected are they? Ecological Indicators, 76, 144–158.
Saura, S., Bertzky, B., Bastin, L., Battistella, L., Mandrici, A., & Dubois, G. (2018). Protected area connectivity: Shortfalls in global targets and country-level priorities. Biological Conservation, 219(October 2017), 53–67.
## Not run:
library(Makurhini)
library(raster)
data("Protected_areas_raster", package = "Makurhini")
plot(Protected_areas_raster)
data("Ecoregions", package = "Makurhini")
region <- Ecoregions[2,]
test <- MK_ProtConn_raster(nodes = Protected_areas_raster,
region = region,
area_unit = "ha",
distance = list(type= "centroid"),
distance_thresholds = c(50000, 10000),
probability = 0.5, transboundary = 50000,
plot = FALSE, parallel = NULL,
write = NULL, intern = FALSE)
test
## End(Not run)
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