Not exact matches
For DEMs the income range generally is lower, and depends on factors like the
location (urban or rural), which state (legal or not, insurance coverage or not), and how many births a DEM does
in a
given period of
time.
Because the Daohugou Biota and the much better studied Jehol Biota are similar
in preservational mode and geographic
location, but separated by tens of millions of years, they
give palaeontologists an outstanding, even unique, opportunity to study changes
in the fauna of this region over a significant span of geological
time and an important
period in vertebrate evolution.
Given its
location in the eastern Med, Turkey also enjoys some of the best weather for the longest
period of
time, making it popular for beach holidays from May right through to late October, all within four to five hours of the UK.
Then, instead of throwing out the data as hopelessly compromised and starting the experiment over with these factors corrected, you (a) do a study estimating how miscalibrated, how defective and how improperly located your instruments were and apply adjustments to all past data to «correct» the improper reading, (b) you do a study to estimate the effect of the external factors at the
time you discover the problem and apply adjustments to all past data to «correct» the effects of the external factors even though you have no idea what the effect of the external factor actually was for a
given instrument at the
time the data was recorded, because you only measured the effect years later and then at only some
locations, (c) you «fill
in» any missing data using data from other instruments and / or from other measurements by the same instrument, (d) you do another study to determine how best to deal with measurements from different instruments over different
time periods and at different
locations and apply adjustments to all past data to «correct» for differences between readings from different instruments over different
time periods at different
locations.
For a selected metrics of «yearly average», the result comes from 730 samples, such that the error
in this average is about SQRT (730) = 27 smaller than the 1C individual error, or about 0.03 C. Therefore, for a
given time period the slope of linear fit is a very precise characteristic at that particular
location.
I ask this because there are about two dozen double records where it was both the hottest and coldest day for the
given location in the
time period specified.
The
location is not specific enough, a slight change
in the
time period can
give a large variation
in the result and weather is so varied that compiling data is extremely difficult over any but an extremely short
time period and a small locality.
«Home characteristics, such as square footage,
location or the number of bathrooms, are
given different weights according to their influence on home sale prices
in each specific geography over a specific
period of
time,» Zillow says.