fields: Tools for Spatial Data

空間データ解析ツール

CRAN: http://cran.r-project.org/web/packages/fields/index.html

> library(fields)

Loading required package: spam
Spam version 1.2-1 (2015-09-30) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction 
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.

Attaching package: 'spam'

The following objects are masked from 'package:base':

    backsolve, forwardsolve

Loading required package: maps

 # ATTENTION: maps v3.0 has an updated 'world' map.        #
 # Many country borders and names have changed since 1990. #
 # Type '?world' or 'news(package="maps")'. See README_v3. #



Attaching package: 'fields'

The following object is masked from 'package:maps':

    ozone

The following object is masked from 'package:DMwR':

    unscale

> data("ozone")
> data("ozone2")

バージョン: 8.2.1

関数名	概略
`BD`	Data frame of the effect of buffer compositions on DNA strand displacement amplification. A 4-d regression data set with with replication. This is a useful test data set for exercising function fitting methods.
`CO2`	Simulated global CO2 observations
`COmonthlyMet`	Monthly surface meterology for Colorado 1895-1997
`Exp.cov`	Exponential family, radial basis functions,cubic spline, compactly supported Wendland family and stationary covariances.
`Exponential`	Covariance functions
`Krig`	Kriging surface estimate
`Krig.Amatrix`	Smoother (or "hat") matrix relating predicted values to the dependent (Y) values.
`Krig.engine.default`	Basic linear algebra utilities and other computations supporting the Krig function.
`Krig.null.function`	Default function to create fixed matrix part of spatial process model.
`Krig.replicates`	Collapse repeated spatial locations into unique locations
`MLESpatialProcess`	Estimates key covariance parameters for a spatial process.
`NorthAmericanRainfall`	Observed North American summer precipitation from the historical climate network.
`QTps`	Robust and Quantile smoothing using a thin-plate spline
`RCMexample`	3-hour precipitation fields from a regional climate model
`REML.test`	Maximum Likelihood estimates for some Matern covariance parameters.
`RMprecip`	Monthly total precipitation (mm) for August 1997 in the Rocky Mountain Region and some gridded 4km elevation data sets (m).
`Tps`	Thin plate spline regression
`US`	Plot of the US with state boundaries
`US.dat`	Outline of coterminous US and states.
`Wendland`	Wendland family of covariance functions and supporting numerical functions
`WorldBankCO2`	Carbon emissions and demographic covariables by country for 1999.
`add.image`	Adds an image to an existing plot.
`arrow.plot`	Adds arrows to a plot
`as.image`	Creates image from irregular x,y,z
`as.surface`	Creates an "surface" object from grid values.
`bplot`	boxplot
`bplot.xy`	Boxplots for conditional distribution
`colorbar.plot`	Adds color scale strips to an existing plot.
`cover.design`	Computes Space-Filling "Coverage" designs using Swapping Algorithm
`drape.plot`	Perspective plot draped with colors in the facets.
`fields`	fields - tools for spatial data
`fields.diagonalize2`	Fields supporting functions
`fields.hints`	fields - graphics hints
`fields.tests`	Testing fields functions
`flame`	Response surface experiment ionizing a reagent
`gcv.Krig`	Finds profile likelihood and GCV estimates of smoothing parameters for splines and Kriging.
`grid`	list Some simple functions for working with gridded data and the grid format (grid.list) used in fields.
`image.plot`	Draws image plot with a legend strip for the color scale based on either a regular grid or a
`grid of quadrilaterals.
`image.smooth`	Kernel smoother for irregular 2-d data
`image2lz`	Some simple functions for subsetting images
`interp.surface`	Fast bilinear interpolator from a grid.
`lennon`	Gray image of John Lennon.
`mKrig	"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function.
`mKrig.MLE`	Maximizes likelihood for the process marginal variance (rho) and nugget standard deviation (sigma) parameters (e.g. lambda) over a list of covariance models or a grid of covariance parameter values.
`mKrig.grid`	Using MKrig for predicting on a grid.
`minitri`	Mini triathlon results
`ozone	Data set of ozone measurements at 20 Chicago monitoring stations.
`ozone2`	Daily 8-hour ozone averages for sites in the Midwest
`plot.Krig`	Diagnostic and summary plots of a Kriging, spatialProcess or spline object.
`plot.surface`	Plots a surface
`poly.image`	Image plot for cells that are irregular quadrilaterals.
`predict.Krig`	Evaluation of Krig spatial process estimate.
`predict.surface`	This older surface function has been renamed as predictSurface
`predictSE`	Standard errors of predictions for Krig spatial process estimate
`predictSurface`	Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions.
`print.Krig`	Print kriging fit results.
`pushpin`	Adds a "push pin" to an existing 3-d plot
`qsreg`	Quantile or Robust spline regression
`quilt.plot`	Image plot for irregular spatial data.
`rat.diet Experiment studying an appetite supressant in rats.
`rdist`	Euclidean distance matrix
`rdist.earth`	Great circle distance matrix
`ribbon.plot`	Adds to an existing plot, a ribbon of color, based on values from a color scale, along a sequence of line segments.
`set.panel`	Specify a panel of plots
`sim.Krig`	Conditional simulation of a spatial process
`sim.rf`	Simulates a Stationary Gaussian random field
`smooth.2d`	Kernel smoother for irregular 2-d data
`spatialProcess`	Estimates a spatial process model.
`spind2spam`	Conversion of formats for sparse matrices
`splint`	Cubic spline interpolation
`sreg`	Cubic smoothing spline regression
`stationary.image.cov`	Exponential, Matern and general covariance functions for 2-d gridded locations.
`stats`	Calculate summary statistics
`stats.bin`	Bins data and finds some summary statistics.
`summary.Krig`	Summary for Krig or spatialProcess estimated models.
`summary.ncdf`	Summarizes a netCDF file handle
`surface.Krig`	Plots a surface and contours
`tim.colors`	Some useful color tables for images and tools to handle them.
`transformx`	Linear transformation
`vgram`	Finds a traditional or robust variogram for spatial data.
`vgram.matrix`	Computes a variogram from an image
`world`	Plot of the world
`xline`	Draw a vertical line
`yline`	Draw horizontal lines

ozone

> ozone %>% {
+   print(class(.))
+   str(.)
+ }

[1] "data.frame"
'data.frame':    41 obs. of  3 variables:
 $ x     : num  -74 -74.6 -74.7 -74.1 -74.3 ...
 $ y     : num  40.2 40.6 40.8 40.7 40.7 ...
 $ median: atomic  59 58 90 80 50 47 81 56 55 72 ...
  ..- attr(*, "Label")= chr "Median daily maxima for June to August"

ozone2

> ozone2 %>% {
+   print(class(.))
+   str(.)
+ }

[1] "list"
List of 4
 $ lon.lat   : num [1:153, 1:2] -91.4 -88.2 -87.5 -87.7 -87.6 ...
 $ y         : num [1:89, 1:153] 35.2 49.4 53.4 58.4 70.2 ...
  ..- attr(*, "dimnames")=List of 2
  .. ..$ : chr [1:89] "870603" "870604" "870605" "870606" ...
  .. ..$ : NULL
 $ station.id: chr [1:153] "170010006" "170190004" "170310032" "170310037" ...
 $ dates     : chr [1:89] "870603" "870604" "870605" "870606" ...