# Geostatistical techniques

Using geostatistical techniques, you can create surfaces incorporating the statistical properties of the measured data. Because geostatistics is based on statistics, these techniques produce not only prediction surfaces but also error or uncertainty surfaces, giving you an indication of how good the predictions are. Understanding output surface types explains the types of prediction maps, which geostatistical technique you can use to create each map, and whether or not it contains standard error.

Many methods are associated with geostatistics, but they are all in the kriging family. Ordinary, simple, universal, probability, indicator, and disjunctive kriging, along with their counterparts in cokriging, are available in Geostatistical Analyst. Not only do these kriging methods create prediction and error surfaces, they can also produce probability and quantile output maps depending on your needs.

Kriging is divided into two distinct tasks: quantifying the spatial structure of the data and producing a prediction. Quantifying the structure, known as variography, is where you fit a spatial-dependence model to your data. To make a prediction for an unknown value for a specific location, kriging will use the fitted model from variography, the spatial data configuration, and the values of the measured sample points around the prediction location. Geostatistical Analyst has many tools to help you determine which parameters to use and also provides reliable defaults that you can use to make a surface quickly.

### Anything new about stirling engines in Cal?

Looking for an update. Everything I find from google news is almost a year old. This is from the stirling engine deal with Southern Edison to build a 500MW plant outside of LA.
What geographical areas are best suited for a solar dish farm?
The southwest region of the United States is ideally suited for this. In fact, a solar farm 100 miles by 100 miles could satisfy 100% of the Americaâs annual electrical needs. Solar technology primarily addresses the peak power demands facing utility companies in the Southwest U.S. and other solar-rich areas.

### Depends

by tlbrink

The cost of living and job markets are better than the national average, but the best job strategy is not to go for averages, but look at your specific skills and experiences, figure out which careers that relates to, and then go to that geographical area:
technology - Silicon Valley
finance - New York
There are other factors to consider. How important are mountains? the ocean? good weather? I have met many midwesterners in Acapulco during the winter, and none ever told me
"I got to get back to Omaha. I just miss those snow covered plains."

### 4,000 Year Old Greenlander

by BurpBoohickie

WASHINGTON (Reuters) â Scientists have sequenced the DNA from four frozen hairs of a Greenlander who died 4,000 years ago in a study they say takes genetic technology into several new realms.
Surprisingly, the long-dead man appears to have originated in Siberia and is unrelated to modern Greenlanders, Morten Rasmussen of the University of Copenhagen and colleagues found.
"This provides evidence for a migration from Siberia into the New World some 5,500 years ago, independent of that giving rise to the modern Native Americans and Inuit," the researchers wrote in Thursday's issue of the journal Nature

 Geostatistical Simulation: Models and Algorithms Book (Springer) Used Book in Good Condition

Solar study: U of M students seek state's sunniest places  — Rick Kupchella's BringMeTheNews
The students are using geographic information systems technology and Lidar data, which is 3D aerial imaging of the Earth's surface, gathered by aircraft with laser-based technology, the students note in a 10-minute video that explains the project (below).

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