VARIABLE STRUCTURE

There are two structures: "para" and "data", where structure "para" contains all parameters including "load data", "variogram", "kriging", and "display", and structure "data" contains the input ("in")and output data ("out") structures.

1. PARAMETERS
VARIABLE NAME			DESCRIPTION
para			Parameters Structure
	.home_dir		home directory
	.optim		flag of optimization tool box
	.dataprep		Data Preparation parameters
		.filename	input filename
		.fileID	File ID for the data set
		.x_norm	normalization factor for variable 1
		.y_norm	normalization factor for variable 2
		.z_norm	normalization factor for variable 3
		.x_offset	coordinate offset for variable 1
		.y_offset	coordinate offset for variable 2
		.z_offset	coordinate offset for variable 3
		.latlonfac	conversion factor between longitude/latitude (deg) and x/y (length)
		.reduct_fac	data reduction factor
		.filter_type	filter type
		.filter_supt	filter support
		.transform_index	index of data transformation model
	.vario		(Semi-)Variogram/Correlogram parameters
		.model	model index of variogram/correlogram
		.sill	sill
		.lscl	relative length scale
		.nugt	nugget
		.powr	power
		.hole	scale of hole effect
		.range	range of modeling
		.res	resolution of the lag
		.angle	anisotrophy angle
		.ratio	anisotrophy aspect ratio
		.ang_res	angle resolution of 2D variogram/correlogram
		.para_file	parameter filename
	.krig		Kriging parameters
		.xmin	minimum x-coordinate
		.xmax	maximum x-coordinate
		.dx	resolution in x direction
		.ymin	minimum y-coordinate
		.ymax	maximum y-coordinate
		.dy	resolution in y direction
		.zmin	minimum z-coordinate
		.zmax	maximum z-coordinate
		.dz	resolution in z direction
		.model	kriging model index
		.scheme	kriging scheme index
		.blk_nx	horizontal block size (only for point-block kriging)
		.blk_ny	vertical block size (only for point-block kriging)
		.srad	kriging search radius
		.kmin	minimum kriging points
		.kmax	maximum kriging points
		.elim	relative error limit
		.batch_file_proc	flag for batch file processing
		.batch_data_file	file that contains a list of input data filename(s) for batch processing
		.grid_file	filepath and filename of the customized grid file

2. OUTPUT AND INPUT DATA
VARIABLE NAME				DESCRIPTION
data				Data Structure
	.in			Input data
		.dim		dimension of the input data
		.var1		x-coordinates of raw data after duplicated data and nan's removed
		.var2		y-coordinates of raw data after duplicated data and nan's removed
		.var3		z-coordinates of raw data after duplicated data and nan's removed
		.var		raw data after duplicated data and nan's removed
		.x		x - coordinates after initial manipulation (reduction, normalization)
		.y		y - coordinates after initial manipulation (reduction, normalization)
		.z		z - coordinates after initial manipulation (reduction, normalization)
		.v		data after initial data processing (reduction)
		.tvar		transformed data from data.in.var.
		.tv		transformed data from data.in.v
	.out			Output data
		.vario		Data output from semi-variogram/correlogram computation
			.c0	variance
			.lag	lag of semi-variogram (correlogram)
			.gammah	semi-variogram
			.cnt	count of data pairs at each lag
			.ang	angle array for 2D semi-variogram/correlogram
			.x	x-axis of 2D semi-variogram/correlogram
			.y	y-axis of 2D semi-variogram/correlogram
			.lag_theo	lag used in model-based variogram/correlogram
			.gammah_theo	model-based semi-variogram
			.gammah2d	2D semi-variogram
		.krig		Data output from kriging
			.nx	output data dimension: nx * ny for 2D and nx * ny * nz for 3D
			.ny	output data dimension: nx * ny for 2D and nx * ny * nz for 3D
			.nz	output data dimension: nx * ny * nz for 3D
			.xg	normalized grided x-coordinate
			.yg	normalized grided y-coordinate
			.zg	normalized grided z-coordinate
			.gx	normalized grided x-coordinates for customized grids
			.gy	normalized grided y-coordinates for customized grids
			.gz	normalized grided z-coordinates for customized grids
			.Xg	2D/3D x-coordinate matrix
			.Yg	2D/3D x-coordinate matrix
			.Zg	2D/3D x-coordinate matrix
			.Vg	2D/3D data from kriging at (Xg, Yg)
			.Eg	2D/3D kriging variance at (Xg,Yg)
			.Ig	reshaped 1D representation of the 2D/3D variable Cg
			.eg	reshaped 1D representation of the 2D/3D variable Eg
			.gv	kriging results at the customized grids (gx, gy, gz)
			.ge	kriging variance at the customized grids (gx, gy, gz)
			.Is	predicted observed data from Double Kriging cross-validation
			.Ijk	predicted observed data from leave-one-out cross-validation
			.ek	normalized residual array in Q1 and Q2 cross-validations
			.q1	value of Q1 cross validation
			.q2	value of Q2 cross validation

3. Example
To plot the kriging map using your own program, load the output file saved
from easy_krig3.0 and then type:

>>pcolor(data.out.krig.Xg,data.out.krig.Yg,data.out.krig.Cg);
>>colorbar;shading interp

to plot a kriging image, or

>>pcolor(data.out.krig.Xg,data.out.krig.Yg,data.out.krig.Eg);
>>colorbar;shading interp

to plot the kriging variance image. The structured variable "data.out.krig.Xg" means "out" is a substructure under "data", "krig" is a substructure of "out", and "Xg" is a member (2d array) of the substructure "krig". All substructures and members of the primary structures "data" and "para" are listed and explained above (note that only part of those parameters may be useful to the users).

Last modified: May 18, 2005

broadscale_summary.csv