Last data update: 2014.03.03

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Results 1 - 10 of 15 found.
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WorldBankCO2 (Package: fields) : Carbon emissions and demographic covariables by country for 1999.

These data are a small subset of the demographic data compiled by the World Bank. The data has been restricted to 1999 and to countries with a population larger than 1 million. Also, only countries reporting all the covariables are included.
● Data Source: CranContrib
● Keywords: datasets
● Alias: WorldBankCO2
● 0 images

minitri (Package: fields) :

Results from a mini triathlon sponsored by Bud Lite, held in Cary, NC, June 1990. Times are in minutes for the male 30-34 group. Man was it hot and humid! (DN)
● Data Source: CranContrib
● Keywords: datasets
● Alias: minitri
● 0 images

CO2 (Package: fields) : Simulated global CO2 observations

This is an example of moderately large spatial data set and consists of simulated CO2 concentrations that are irregularly sampled from a lon/lat grid. Also included is the complete CO2 field (CO2.true) used to generate the synthetic observations.
● Data Source: CranContrib
● Keywords: datasets
● Alias: CO2, CO2.true
● 0 images

RCMexample (Package: fields) : 3-hour precipitation fields from a regional climate model

These are few model output fields from the North American Regional Climate Change and Assessment Program (NARCCAP). The imagea are transformed surface precipitation fields simulated by the WRFP regional climate model (RCM) over North Amreica forced by observation data. The fields are 3 hour precipitation for 8 time periods in January 1, 1979. The grid is unequally spaced in longitude and latitude appropriate projection centered on the model domain.The grid points are nearly equally spaced in great circle distance due to this projection. Precipitation is in a log 10 scale where values smaller than 4.39e-5 ( the .87 quantile) have been been set to this value. Longitudes have been shifted from the original coordinates (0-360) to the range (-180-180) that is assumed by the R map function.
● Data Source: CranContrib
● Keywords: datasets
● Alias: RCMexample
● 0 images

Colorado Monthly Meteorological Data (Package: fields) : Monthly surface meterology for Colorado 1895-1997

Source: These is a group of R data sets for monthly min/max temperatures and precipitation over the period 1895-1997. It is a subset extracted from the more extensive US data record described in at http://www.image.ucar.edu/Data/US.monthly.met. Observed monthly precipitation, min and max temperatures for the conterminous US 1895-1997. See also http://www.image.ucar.edu/Data/US.monthly.met/CO.shtml for an on line document of this Colorado subset. Temperature is in degrees C and precipitation is total monthly accumulation in millimeters. Note that minimum (maximum) monthly tempertuare is the mean of the daily minimum (maximum) temperatures.
● Data Source: CranContrib
● Keywords: datasets
● Alias: CO.Grid, CO.elev, CO.elevGrid, CO.id, CO.loc, CO.names, CO.ppt, CO.ppt.MAM, CO.ppt.MAM.climate, CO.tmax, CO.tmax.MAM, CO.tmax.MAM.climate, CO.tmean.MAM.climate, CO.tmin, CO.tmin.MAM, CO.tmin.MAM.climate, CO.years, COmonthlyMet
● 0 images

RMprecip (Package: fields) :

RMprecip is a useful spatial data set of moderate size consisting of 806 locations. See www.image.ucar.edu/Data for the source of these data. PRISMelevation and RMelevation are gridded elevations for the continental US and Rocky Mountain region at 4km resolution. Note that the gridded elevations from the PRISM data product are different than the exact station elevations. (See example below.)
● Data Source: CranContrib
● Keywords: datasets
● Alias: PRISMelevation, RMelevation, RMprecip
● 0 images

fields (Package: fields) :

Fields is a collection of programs for curve and function fitting with an emphasis on spatial data and spatial statistics. The major methods implemented include cubic and thin plate splines, universal Kriging and Kriging for large data sets. One main feature is any covariance function implemented in R code can be used for spatial prediction. Another important feature is that fields will take advantage of compactly supported covariance functions in a seamless way through the spam package. See library( help=fields) for a listing of all the fields contents.
● Data Source: CranContrib
● Keywords: datasets
● Alias: fields, fields-package
● 0 images

BD (Package: fields) :

The BD data frame has 89 rows and 5 columns. There are 89 runs with four buffer components (KCL, MgCl2, KP04, dnTP) systematically varied in a space-filliing design. The response is the DNA amplification rate.
● Data Source: CranContrib
● Keywords: datasets
● Alias: BD
● 0 images

lennon (Package: fields) :

A 256X256 image of John Lennon. Try:
● Data Source: CranContrib
● Keywords: datasets
● Alias: lennon
● 0 images

US.dat (Package: fields) :

This data set is used by the fields function US to draw a map. It is the medium resolution outline that is produced by drawing the US from the maps package.
● Data Source: CranContrib
● Keywords: datasets
● Alias: US.dat
● 0 images