This page contains additional information regarding observation locations, observation values, and conditioning/prediction schemes used in

"Approximating likelihoods for large spatial datasets"

Michael L. Stein, Zhiyi Chi and Leah J. Welty





Section 4:

Locations of points on 100 x 100 grid.



Section 6:

Chlorophyll Fluorescence Values: The first row consists of the number of observations (13,815) along with the number one. The remaining rows consist of log(fluorescence) values corresponding to the locations given below.

Chlorophyll Fluorescence Locations: The first row consists of the number of observations (13,815) along with the number two. The remaining rows consist of distance from shore (km) and depth (m) of the corresponding observation. We have smoothed the locations in order to account for discretization in the distance from shore measurements.

The chlorophyll fluorescence measurements were provided by Henry Vanderploeg, Great Lakes Environmental Research Laboratory. The measurements were collected as part of the Episodic Events Great Lakes Experiment (EEGLE) Project, supported by the National Oceanic and Atmospheric Administration's Coastal Ocean Program and the National Science Foundation.


Chlorophyll Fluorescence Collection Path (numbers indicate the first and last observations, numbered 0 and 13814):



In the conditioning/prediction set designs, we refer to the points in order from the 0th point to the 13,814th point. Note that the fluorescence profile was taken from off-shore to near-shore, so the 0th observation, which has log(fluorescence) value 3.97 log(volts), was taken ~37.05 km from shore and at a depth of ~4.65 m. The 13,814th observation has log(fluorescence) value 3.61 log(volts) and was taken ~6.73 km from shore at a depth of ~1.86 m. The conditioning/prediction sets start with the number one. The second number is the number of integers that follow after the second number. The third number is the total number of conditioning/prediction blocks. The remaining numbers consist of conditioning and prediction sets specified block by block. Each block specification consists of the total number of of points in the conditioning set, the total number of points being predicted, the vector of points in the conditioning set, and the vector of points in the prediction set. For example, the specification for the ith block consists of the numbers ci pi x1 x2 ... xci y1 y2 ... ypi where ci is the number of conditioning points, pi is the number of prediction points, the xjs refer to the conditioning points, and the yks refer to the prediction points.

Conditioning/Prediction Sets:

DN(10)
DNF(10)
DNMF(10)
DN(20)
DNF(20)
DNMF(20)


This page was last updated August 2003.