Generally speaking, things that are closer together tend to be more alike than things that are farther apart. This is a fundamental geographic principle. Suppose you are a town planner and you need to build a scenic park in your town. You have several candidate sites, and you may want to model their viewsheds at each location. This will require a more detailed elevation surface dataset for your study area. Suppose you have preexisting elevation data for 1, 000 locations throughout the town. You can use this to build a new elevation surface. When trying to build the elevation surface, you can assume that the sample values closest to the prediction location will be similar. But how many sample locations should you consider? And should all the sample values be considered equally? As you move farther away from the prediction location, the influence of the points will decrease. Considering a point too far away may actually be detrimental because the point may be located in an area that is dramatically different from the prediction location. One solution is to consider enough points to give a good prediction but few enough points to be practical. The number will vary with the amount and distribution of the sample points and the character of the surface. If the elevation samples are relatively evenly distributed, and the surface characteristics do not change significantly across your landscape, you can predict surface values from nearby points with reasonable accuracy. To account for the distance relationship, the values of closer points are usually weighted more heavily than those farther away.
This is the basis for the Inverse Distance Weighted (IDW) interpolation technique. As its name implies, the weight of a value decreases as the distance increases from the prediction location. A deterministic interpolation technique applies an established mathematical formula to the sample points. In the case of IDW, the formula is: multiply the values of the points that fall within a specified neighborhood from the processing cell by a weight that is derived from the distance the sample point is from...
- inverse distance weighted
- local polynomial
- global polynomial
- radial basis functions (RBS)
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 Americaâs annual electrical needs. Solar technology primarily addresses the peak power demands facing utility companies in the Southwest U.S. and other solar-rich areas.
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
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
GIS Approach and Geostatistical Methods: For monitoring temperature trends: Egypt Case Study
Book (LAP LAMBERT Academic Publishing)
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).
New Methods of Geostatistical Analysis and Graphical Presentation: Distributions of Populations over Territories
Handbook of Spatial Statistics (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Book (CRC Press)
- Used Book in Good Condition
A Multiple-Point Geostatistical Method for Characterizing Uncertainty of Subsurface Alluvial Units and Its Effects on Flowand Transport: Open-File Report 2012-1065
Applying geostatistical interpolation methods to studies of environmental contamination of urban soils and image analysis of time-of-flight secondary ion mass spectrometry.
Book (ProQuest, UMI Dissertation Publishing)
Geostatistics method of reserve estimation?
That's a big question, because it depends on alot of things. If I were you, I'd try to get into a course. These tend to be expensive and hard to find though. If you forgo the official certification, you can still access a few geostats courses (including worked examples) on Edumine by paying for a monthly access fee (something like $40 CDN). You and I are in the same boat, actually! Good luck!