coprecip: Standardized anomalies of CO Precipitation

In telefit: Estimation and Prediction for Remote Effects Spatial Process Models

Description

A dataset containing sample spatially-aggregated climate data from the ERA-Interim and PRISM datasets. The response comes from PRISM, average monthly precipitation in a DJF winter. The covariates come from ERA-Interim, Colorado and Pacific Ocean (sea) surface temperatures. All data has been converted to standardized anomalies.

Usage

coprecip

Format

A stData object with 3 years of observations

tLabs

year labels for data columns

coords.s

centers of grid cells for Colorado data

coords.r

centers of grid cells for Pacific Ocean data

X

Array of design matrices for Colorado covariates

Y

Matrix of precipitation observations

Z

Matrix of Pacific Ocean data

X.lab

Label for covariate data, used by plotting functions

Y.lab

Label for response data, used by plotting functions

Z.lab

Label for covariate data, used by plotting functions

Source

http://prism.oregonstate.edu

https://rda.ucar.edu/datasets/ds627.0/

Examples

data("coprecip")
str(coprecip)

telefit documentation built on Feb. 4, 2020, 9:08 a.m.