Sentences with phrase «spaced data points»

Starting with two closely spaced data points on the graph below, lay a straight - edge between them and notice how for a short period of time you cancreate almost any slope you prefer, simply by being selective about what data points you use.

With equally spaced data points, it is especially easy to fit a parabola (i.e., a quadratic equation) to the data.

Not exact matches

But introverted thinkers make their best contributions when they've had time to process relevant data and space to choose words carefully and share thoughtful conclusions,» Cullinan points out.

At the same time, the availability rate, which measures space vacant or that will be available in approximately 12 months, fell by 0.4 points to 10.4 percent, the Colliers data revealed.

To each observer there corresponds a 3 - or 4 - dimensional perspective or «private space,» in which the sense data literally serve as mathematical points in mapping out the existence and extent of objects that a particular observer seems to perceive.

=============== Summary: Other than your comment about God being constrained by time when He is within our space / time (which was addressed in point # 1 above), the remainder of your comments had to do with objections that you have with respect to God's actions, nothing to do with the traits of omniscience and omnipotent being mutually exclusive, which was your original data point for the impossibility of God to exist.

You said, «Summary: Other than your comment about God being constrained by time when He is within our space / time (which was addressed in point # 1 above), the remainder of your comments had to do with objections that you have with respect to God's actions, nothing to do with the traits of omniscience and omnipotent being mutually exclusive, which was your original data point for the impossibility of God to exist.»

Lautenbacher sees that as a point where a «long list» of private customers may also begin to buy private data from space.

Historically, researchers have divided up data from a dynamical system through Markov partitions — a function that describes a point in space in relation to time, such as a model that describes the swing of a pendulum.

«It's too data - intensive to compute every single point, so we have to come up with a way to predict any point in this space from just a small number of sampled data points,» says Schulz.

Examining the fresh crater could provide data on how space weathering affects Mercury's heavily pockmarked surface — but this crater is too small to see from Earth, and the Hubble Space Telescope can't look at Mercury because it would have to point at thespace weathering affects Mercury's heavily pockmarked surface — but this crater is too small to see from Earth, and the Hubble Space Telescope can't look at Mercury because it would have to point at theSpace Telescope can't look at Mercury because it would have to point at the sun.

After the students calculated the basic data of the human being, they were then able to calculate both the time and power required to teleport the human from Earth to the chosen point in space.

The latest data from the Dawn space probe points to underground ice flows and a water vapour atmosphere.

At some point, scientists might be able to save space by not storing sequences in full, similar to the way data is managed in particle physics, where information is read and filtered while it is generated.

But in areas with complex landscapes like Montana, data points so widely spaced are inadequate to reflect variability in terrain and vegetation and their influence on climate.

Taking models of galaxies from the Hubble Space Telescope Ultra Deep Field (HUDF) and applying a correction for the HUDF point spread function we generate lensed simulations of deep, opti... ▽ More We present a simulation analysis of weak gravitational lensing flexion and shear measurement using shapelet decomposition, and identify differences between flexion and shear measurement noise in deep survey data.

After all the excitement of last night's Cassini mission checking in and transmitting data to NASA's Deep Space Network, I joined Warren Olney on his NPR - syndicated show «To The Point» this morning to chat about the mission and why the «Grand Finale» is an awesome, yet bittersweet, part of Saturn exploration.

Taking models of galaxies from the Hubble Space Telescope Ultra Deep Field (HUDF) and applying a correction for the HUDF point spread function we generate lensed simulations of deep, optical imaging data from Hubble's Advanced Camera for Surveys (ACS), with realistic galaxy morphologies.

DateData looks at millions of dating data points to make sense of the messy, confusing, and overcrowded dating space.

This bundle includes the following Task Cards: 12 Google Slides Task Cards: • Inserting slides • Changing slide background color • Adding a slide theme / design • Inserting images • Inserting Shapes • Inserting Word Art • Adding slide transition • Adding object animation • Creating Tables • Shading Tables • Downloading files to Microsoft PowerPoint from Google Slides • Uploading Microsoft PowerPoint documents into Google Slides 20 Google Sheets Task Cards: • Inserting columns • Deleting columns • Deleting rows • Inserting rows • Adding currency • Removing currency • Adding decimal places • Removing decimal places • Adding borders • Changing border color • Adding fill color • Sorting data • Merging cells • Unmerging cells • Creating charts • Customizing Pie Charts — A closer look • Moving charts to new sheets • Changing Chart types • Adding New Sheets • Deleting sheets 12 Google Drawings Task Cards: • Creating Tables • Shading tables • Insert Image • Insert Shape • Shape Fill • Line Thickness • Line Style • Line Color • Sending shapes to back • Bringing Shapes to Front • Rotating Shapes • Changing Shapes 12 Google Docs Task Cards: • Creating Tables • Inserting Page Numbers • Inserting images • Formatting Text (Bold, Italic, Underline) • Shading tables • Word count • Line Spacing • Text Alignment • Inserting Bullet Points • Inserting Numbered Lists • Downloading files to Microsoft Word • Uploading Microsoft Word documents into Google Docs

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Maybe BN has a less price - sensitive audience, but lacking any data to point to that, you would expect similar results from different retailers in the same space.

It sits far away from the blue data points, and shares its space with the 5 previous bear - market rallies.

GfK's point - of - sale pet panel represents about 8,000 boutique and regional shops, giving participating retailers a look beyond their own inventories and sales data to reveal what is going on in stores across the U.S.. By tracking both shelf space allotments and sales, GfK can provide shelf allocation guidance for small sellers by identifying where they may be overinvesting in underachievers, or missing golden opportunities.

GfK's POS (point - of - sale) pet panel represents about 8,000 boutique and regional shops, giving participating retailers a look beyond their own inventories and sales data to reveal what is going on in stores across the U.S.. By tracking both shelf space allotments and sales, the GfK pet panel can provide shelf allocation guidance for small sellers — where they may be over-investing in underachievers, or missing golden opportunities.

If you must work in this relaxed environment, the apartments provide work space with modem connection and data point..

After speaking with MilesTalk and seeing a few data points on FlyerTalk, it looks like American phone agents can once again see award space on Etihad beyond 30 days on flights that touch the U.S.

9:30 AM — NOON Data as Art Medium Chair: Jeff Thompson, University of Nebraska, Lincoln Data and Its Expression George Legrady, University of California, Santa Barbara From Kandinsky to the Database (Point, Line, Plane: Variable, Array, Table) Brian Evans, University of Alabama Web as Index and Archive Penelope Umbrico, Bard College and School of Visual Arts Art that Decodes: Making Sense of Data Process Heidi May, Emily Carr University of Art and Design and University of British Columbia 12:30 PM — 2:00 PM CAA Services to Artists Committee Making a Living as an Artist: With or Without a Gallery Chair: Sharon Louden, Louden Studio Sharon Butler, Eastern Connecticut State University William Carroll, The Elizabeth Foundation for the Arts Peter Drake, New York Academy of Art Ed Winkleman, Winkleman Gallery 2:30 — 5:00 PM CAA Services to Artists Committee Be Our Guest: Time and Space to Create at Artist Residencies Chair: Caitlin Strokosch, Alliance of Artists Communities Kathy Black, Vermont Studio Center Linda Marston - Reid, Bellagio Center Margaret Murphy, Fine Arts Work Center Mario Caro, Res Artis

If you have equally spaced points along the X axis, and decide to average them in groups of 12, you're just pre-averaging the data before feeding it into the regression.

The ``... uneven spatial distribution, many missing data points, and a large number of non-climatic biases varying in time and space» all contribute inaccuracies to to the global temperature record — as do errors in orbital decay corrections, limb - corrections, diurnal corrections, and hot - target corrections, all of which rely on measurements (+ - inherent errors), in the satellite temperature records.

At JunkScience.com, we analyzed surface temperature data collected by NASA's Goddard Institute of Space Studies and prepared temperature graphs to underscore this point.

In other words, are the temperature gradients between closely spaced collection points small enough to make milli - degree / year trend lines based on data collected from randomly drifting buoys meaningful?

A data point — such as the invariance of the speed of light wrt different inertial frames of reference leading to astonishing ideas of time, space and mass.

«I'm wondering if too much space is devoted to Miller, given the inference one draws from Fig 1.5 is senstive to the inclusion of individual outliers (as pointed out in the text) and that it is acknowledged that early data are incomplete.

If you just want to know what the data says, without assuming any prior, you can look at how the likelihood for one point in the parameter space compares to that for another point, but you do not do any integrals over the parameter space, which are only meaningful once you've assumed a prior.

I also recall that you very recently pointed out the phase space relationship of CO2 and temperature for the Antarctic data, and then I remarked that I beat you to the punch.

Yes, Joe, Nicholas Lewis has discovered in climate science what I first encountered in space science in 1972 — manipulation of observational data in order to promote a particular point of view.

My point at that time was that the number of CRN 1 and CRN 2 stations was very small and that given the noisy data for temperature trends amongst even closer spaced stations meant that in order to see a statistically significant difference due to CRN rating would require a very large difference in trends or a larger number of stations in those classifications.

I believe the current length is about 2,000 years and for the earliest portion it is impossible to resolve fine scale questions — in fact only the most general questions can be informed by the sparse grid of data points available and some regions are white space — no estimate possible — and errors of estimation are large for the available points.

The degree of the spherical harmonic expansion and the knot - point spacing of the splines are chosen to be higher than the spatial and temporal resolution expected from the data.

For example, they pointed to additional temperature data gathered in the last few years, which have been substantially warmer than any similar string of years in many centuries; to improvements in computer models designed to project future trends; and to better understanding of the influence of other climate - influencing emissions, like particles of sulfates that can cool the earth by reflecting sunlight back into space.

The new study starts with a coarser, global model — meaning one in which data points for calculations are spaced many miles apart.

As Gavin Schmidt, director of NASA's Goddard Institute for Space Studies, put it in a post on the Real Climate blog: «The «selling point» of the paper is that with the updates to data and corrections, the trend over the recent decade or so is now significantly positive.

The FFT is a poor choice, because is requires the data to be evenly spaced in time (which often it is not), and requires the number of data points to be a power of 2 (which it almost never is).

Then once you've got a pattern for a bunch of regional data points, interpolate it throughout the space?

Each of those low temperature data points are the clearest signals (least amount of local noise) of any physical measurement that is possible on earth, or from a satellite in space.

Average spacing is 300 kilometers so you get one data point for every 90,000 square kilometers.