Example of a master_matrix object with no preselected sites
Source:R/data_documentation.R
m_matrix.RdAn S3 object of class master_matrix.
See function prepare_master_matrix.
Format
A list of 6 elements:
- data_matrix
data.frame with 6276 rows and 10 columns
- preselected_sites
NULL
- region
object of class SpatVector
- mask
NULL
- raster_base
object of class SpatRaster
- PCA_results
list of length 4
Examples
m_matrix <- read_master(system.file("extdata/m_matrix.rds",
package = "biosurvey"))
print(m_matrix)
#> data_matrix:
#> Longitude Latitude Mean_temperature Max_temperature Min_temperature
#> 8 -117.0833 32.58333 170 266 71
#> 9 -116.9167 32.58333 169 293 59
#> 10 -116.7500 32.58333 165 318 44
#> 11 -116.5833 32.58333 153 326 23
#> 12 -116.4167 32.58333 146 329 9
#> 13 -116.2500 32.58333 148 333 7
#> Annual_precipitation Prec_wettest_month Prec_driest_month PC1
#> 8 234 46 1 -1.752933
#> 9 277 52 1 -1.728394
#> 10 336 64 2 -1.696348
#> 11 409 78 2 -1.845195
#> 12 400 76 1 -2.063613
#> 13 320 60 1 -2.181253
#> PC2
#> 8 1.0409917
#> 9 0.5996405
#> 10 0.2890784
#> 11 0.4419228
#> 12 0.5029680
#> 13 0.3238374
#> ...
#>
#> preselected_sites:
#> Empty
#>
#> region:
#> class : SpatVector
#> geometry : polygons
#> dimensions : 1, 11 (geometries, attributes)
#> extent : -118.4042, -86.7014, 14.55055, 32.71846 (xmin, xmax, ymin, ymax)
#> coord. ref. : +proj=longlat +datum=WGS84 +no_defs
#> names : FIPS ISO2 ISO3 UN NAME AREA POP2005 REGION
#> type : <fact> <fact> <fact> <int> <fact> <int> <num> <int>
#> values : MX MX MEX 484 Mexico 190869 1.043e+08 19
#> SUBREGION LON LAT
#> <int> <num> <num>
#> 13 -102.5 23.95
#>
#> mask:
#> Empty
#>
#> raster_base:
#> class : SpatRaster
#> dimensions : 109, 190, 1 (nrow, ncol, nlyr)
#> resolution : 0.1666667, 0.1666667 (x, y)
#> extent : -118.3333, -86.66667, 14.5, 32.66667 (xmin, xmax, ymin, ymax)
#> coord. ref. : lon/lat WGS 84 (EPSG:4326)
#> source(s) : memory
#> name : base
#> min value : 1
#> max value : 1
#>
#> PCA_results:
#> Standard deviations (1, .., p=6):
#> [1] 1.85160952 1.31751471 0.69508561 0.57046987 0.13183993 0.09866885
#>
#> Rotation (n x k) = (6 x 6):
#> PC1 PC2 PC3 PC4 PC5 PC6
#> variables_1 0.3983975 -0.4988548 -0.137355047 -0.1532950 0.4770020 -0.5679143
#> variables_2 0.0861679 -0.6843294 0.397093482 0.5079773 -0.2343494 0.2315697
#> variables_3 0.4664766 -0.2431007 -0.387802811 -0.4783965 -0.3413308 0.4770122
#> variables_4 0.4878816 0.2956408 -0.007712883 0.2691096 -0.5999334 -0.4921062
#> variables_5 0.4602686 0.2865628 -0.247407807 0.5447366 0.4595736 0.3699704
#> variables_6 0.4078951 0.2328465 0.782169563 -0.3470426 0.1729588 0.1313832