Sentences with phrase «data at different scales»

Various methods collect data at different scales: Chamber measurements collect data over square - meter areas, tall towers and aircraft observe larger areas, and satellites (e.g., Greenhouse Gases Observing Satellite, or GOSAT) observe areas larger than a square kilometer.

Not exact matches

Identifying core components of interventions found to be effective and understanding what it takes to implement those components with fidelity to the program model is critical to successful replication and scale - up of effective programs and practices in different community contexts and populations.7 There is growing recognition in the early childhood field of the importance of effective implementation and the need for implementation research that can guide adoption, initial implementation, and ongoing improvement of early childhood interventions.8, 9,10 The promise of implementation research and using data to drive program management is compelling because it offers a potential solution to the problem of persistent gaps in outcomes between at - risk children and their more well - off peers.

Using different calibration and filtering processes, the two researchers succeeded in combining a wide variety of available data from temperature measurements and climate archives in such a way that they were able to compare the reconstructed sea surface temperature variations at different locations around the globe on different time scales over a period of 7,000 years.

It uses big data and the methodologies of statistical physics and network theory to describe the daily travel behavior of individuals, behavior that holds true at the larger scale of the entire population of two cities on different continents.

Twenty years later, Udo and Takeda (2014) projected the rate of beach loss at SLR values of 0.1 to 1.0 m using the same method as Mimura et al. (1994), further refined with a different beach data set obtained from 1/25, 000 scale maps issued by the Geospatial Information Authority of Japan (GSI)(Kishida and Shimizu, 2000).

To help scientists take advantage of this untapped wealth of data from hospital scans, a team of MIT researchers, working with doctors at Massachusetts General Hospital and many other institutions, has devised a way to boost the quality of these scans so they can be used for large - scale studies of how strokes affect different people and how they respond to treatment.

As such, it allows teacher candidates to familiarize themselves with the dynamic nature of maps — zooming in and out at different scales, clicking on points to illuminate certain data points (in our case, photographs), and moving the map so that it focuses on different areas, and adding / subtracting data layers — while simultaneously removing some of the technical angst associated with learning how to create, upload, layer, manipulate, and analyze data sets manually.

At the same time, having data could help you make larger - scale adjustments in your spending in different categories — that is, not just finding a cheaper brand, but cutting down on entire kinds of purchases altogether.

So without knowing for sure which scale is used, or at least that it's consistent across the data, it can provide different results and interpretations.

While I had some requests to look into the Tokyo Game Show the way we looked into gamescom or E3, I thought that with the event being at a different scale (on this side of the world, the tool doesn't track very well coverage from Asian media and they are just excluded from the data on these posts) it could be the opportunity to look at the coverage of different game events instead of an in - depth look at just TGS.

That depends on the data, so you need to look at variance for the particular record (a side note — satellite mid-tropospheric records have higher variance than surface records, and inherently require more data to make that determination), at auto - correlation, the scale of trend changes, all of those, to determine whether current trends are significantly different from the past.

I have examined this data set in great detail over the years, at widely varying time scales and for many different sub-sections, and can show and date the «known» events, and can speculate on others that seem not to have been noticed.

The challenge of collecting and analyzing precipitation data collected at different times, in different places, and on different scales.

Data were obtained on all scales from 78 at - risk university students and 22 regular (or normal) students, as all scales either make claims about or have existing data on these two different types of subjeData were obtained on all scales from 78 at - risk university students and 22 regular (or normal) students, as all scales either make claims about or have existing data on these two different types of subjedata on these two different types of subjects.