gridnysptime {bmstdr} | R Documentation |
Values of three covariates for 100 grid locations in New York for the 62 days during the months of July and August, 2006.
Description
Values of three covariates for 100 grid locations in New York for the 62 days during the months of July and August, 2006.
Values of three covariates for 100 grid locations in New York for the 62 days during the months of July and August, 2006.
Usage
gridnysptime
gridnysptime
Format
An object of class data.frame
with 6200 rows and 11 columns.
An object of class data.frame
with 6200 rows and 11 columns.
Source
It is the same data set as NYgrid data set in the spTimer package, Bakar and Sahu (2015). with two added columns providing the UTM X- and Y- coordinates. Each data row is for a particular grid site and day as detailed below.
@format A data frame with 6200 rows and 11 columns:
- s.index
site index (1 to 100)
- Longitude
Longitude of the site
- Latitude
Latitude of the site
- utmx
UTM X-coordinate of the site
- utmy
UTM Y-coordinate of the site
- Year
This is 2006 for all the rows
- Month
Month taking values 7 for July and 8 for August
- Day
Day taking values 1 to 31
- xmaxtemp
Maximum temperature (degree Celsius)
- xwdsp
wind speed (nautical mile per hour)
- xrh
Relative humidity
It is the same data set as NYgrid data set in the spTimer package,
with two added columns providing the UTM X- and Y- coordinates. Each data row is for a particular grid site and day as detailed below.
@format A data frame with 6200 rows and 11 columns:
- s.index
site index (1 to 100)
- Longitude
Longitude of the site
- Latitude
Latitude of the site
- utmx
UTM X-coordinate of the site
- utmy
UTM Y-coordinate of the site
- Year
This is 2006 for all the rows
- Month
Month taking values 7 for July and 8 for August
- Day
Day taking values 1 to 31
- xmaxtemp
Maximum temperature (degree Celsius)
- xwdsp
wind speed (nautical mile per hour)
- xrh
Relative humidity
References
Bakar KS, Sahu SK (2015). “spTimer: Spatio-Temporal Bayesian Modeling Using R.” Journal of Statistical Software, Articles, 63(15), 1–32. ISSN 1548-7660, doi:10.18637/jss.v063.i15, https://www.jstatsoft.org/v063/i15.
Bakar KS, Sahu SK (2015). “spTimer: Spatio-Temporal Bayesian Modeling Using R.” Journal of Statistical Software, Articles, 63(15), 1–32. ISSN 1548-7660, doi:10.18637/jss.v063.i15, https://www.jstatsoft.org/v063/i15.
Examples
head(gridnysptime)
summary(gridnysptime[, 9:11])
summary(gridnysptime[, 9:11])