predict.data.de: Prediction grid data for post-impact decrease
In lindesaysh/MRSea: Spatially adaptive regression splines using SALSA
predict.data.de R Documentation
Prediction grid data for post-impact decrease
Description
A simulated dataset containing the true number of birds, the effort data and other variables of
prediction grid data. The variables are as follows:
Format
A data frame with 37928 rows and 8 variables
Details
-
area area surveyed in the gridcell in km squared
-
x.pos spatial location in the horizontal axis in UTMs
-
y.pos spatial location in the vertical axis in UTMs
-
depth depth in m
-
segment.id Identifier for individual visits to the segment
-
season Numerical indicator for the four different seasons
-
impact Numerical indicator for before (0) and after (1) impact
-
truth number of birds
lindesaysh/MRSea documentation built on April 5, 2024, 4:39 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| predict.data.de | R Documentation |
Prediction grid data for post-impact decrease
Description
A simulated dataset containing the true number of birds, the effort data and other variables of prediction grid data. The variables are as follows:
Format
A data frame with 37928 rows and 8 variables
Details
-
areaarea surveyed in the gridcell in km squared -
x.posspatial location in the horizontal axis in UTMs -
y.posspatial location in the vertical axis in UTMs -
depthdepth in m -
segment.idIdentifier for individual visits to the segment -
seasonNumerical indicator for the four different seasons -
impactNumerical indicator for before (0) and after (1) impact -
truthnumber of birds
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.