Sentences with phrase «spatial data from»

Created new spatial data from cadastral information to analyze and reevaluate outdated state land project boundaries, identifying over 25,000 acres and $ 300 million of developed land to be removed.

The grounding in interpreting and storing numerical and spatial data from an archaeology degree is invaluable here.

Using generalized USA information from ArcView and spatial data from the Otsego County Planning Office, the students were challenged to use GIS to see and make sense of the connection between the topography of the Susquehanna Valley, existing land use (farms, housing, commercial, restaurants, entertainment), the proposed baseball park, location of existing roads, and public opposition to and support for the proposed development.

Our group gathers multi-disciplinary expertise aiming at developing methods and algorithms for extracting, analysing, and modeling spatial data from biological images.

Not exact matches

In SR, the kind of perception with which we are almost always acquainted, a datum from CE is spatially located by the relatively sharp spatial definition of PI.

It starts with data from the Department of Defense on local incidence of influenza - like illness combined with laboratory - verified cases of influenza and adds a spatial element by incorporating information from Census data on commuting patterns.

So creating a 3 - D picture requires scientists to scan the sample once, tilt it by a few degrees and re-scan it — repeating the process until the desired spatial resolution is achieved — before combining the data from each scan using a computer algorithm.

It will certainly tell us about the spatial extent and evolution of the chorus wave, which along with particle data from other instruments should tell us some things about electron energies.»

The satellites give temperature measurements with a spatial resolution of roughly 1 square kilometre, which the team matched up with data from the US Federal Aviation Administration on the exact location of 2358 wind turbines in west - central Texas.

Using published data from the circumpolar arctic, their own new field observations of Siberian permafrost and thermokarsts, radiocarbon dating, atmospheric modeling, and spatial analyses, the research team studied how thawing permafrost is affecting climate change and greenhouse gas emissions.

Raw data collected from altimeters have been re-processed and collated with wind speed data from scatterometers and sea level measurements from tide gauges, to show the spatial structure of each storm.

As the graphic shows, THz image waves are received by a metamaterial spatial light modulator, which in turn sends multiple data points from the THz scene to a single - pixel detector, which computationally reconstructs the image faster, more efficiently and with higher - fidelity than conventional THz imaging technology.

From these data, we quantify the population genetic parameters of the intra-patient environment to aid modeling efforts such as the spatial - monotherapy work.

I have not examined the economic data, but it appears that M&M 2007 maybe can not win — either (i) the spatial distribution of the economic indices are equally smooth and M&M 2007's attempt to account for dependencies within each country fails to resolve the problem of dependency between the countries, or (ii) the economic indices vary abruptly from country to country and thus have very different spatial scales and structures to those seen in the warming trends.

We tested the impact of spatial bias by examining global trends in MHW proxies derived from HadSST3 data.

Spatial - temporal analysis of United States precipitation data from 1900 to 1999 indicates that the Atlantic Multidecadal Oscillation (AMO) primarily modulates drought frequency.

ASTER data is used to create detailed maps of land surface temperature, reflectance, and elevation.ASTER captures high spatial resolution data in 14 bands, from the visible to the thermal infrared wavelengths, and provides stereo viewing capability for digital elevation model creation.

The Arctic Monitoring and Assessment Program (AMAP) carbon assessment published in 2009 highlighted the disparity in methane emissions estimated by extrapolating data from wetlands, lakes, and coastal waters underlain by permafrost (32 to 112 Tg CH4 yr - 1) and estimates based on spatial and temporal variability of atmospheric methane concentrations (15 to 50 Tg CH4 yr - 1).

The Argus millimeter - wave camera on the GBT produces data cubes of the emission from spectral lines with high spectral and spatial resolution.

Statisticians can advise on how best to combine data from different sources, how to identify and adjust for biases in different measurement systems, and how to deal with changes in the spatial and temporal coverage of measurements.

After having analyzed the data from the first summer's clinical trial, he can see that the children made strides in four out of seven visual - spatial tests.

Spatial information technology products include technologies and data from Geospatial Information Systems, Global Positioning Systems and other related services.

What's also new is the integrated Porsche 4D Chassis Control system, which centrally analyses the driving situation in all three spatial dimensions, e.g. pitch, roll and yaw, computes optimum driving states from these data, and synchronizes all chassis systems in real time: the fourth dimension.

What's also new is the integrated Porsche 4D Chassis Control system, which centrally analyses the driving situation in all three spatial dimensions, e.g. pitch, roll and yaw, computes optimum driving states from this data, and synchronises all chassis systems in real time: the fourth dimension.

Culling from a range of histories, sites, archives, and statistical data, the artists and architects presented (Sean Snyder, Sarah Oppenheimer, Bernard Khoury, and the Spatial Information Design Lab) take information as their medium.

In a second step, we apply the method to reconstructing 2 - D sea level data over 1950 — 2003, combining sparse tide gauge records available since 1950, with EOF spatial patterns from different sources: (1) thermosteric sea level grids over 1955 — 2003, (2) sea level grids from Topex / Poseidon satellite altimetry over 1993 — 2003, and (3) dynamic height grids from the SODA reanalysis over 1958 — 2001.

All river data comes from the NHDPlus dataset, a geo - spatial, hydrologic framework dataset envisioned by the US Environmental Protection Agency.

The bigger problem is spatial coverage, but the addition of integrated constraints from the altimeter data goes some way to correcting for that.

To get a sense of the mix of whaling - era data, tracking and modeling used to estimate past blue whale abundance, read this PloS ONE paper by an overlapping research team from last year: «Estimating Historical Eastern North Pacific Blue Whale Catches Using Spatial Calling Patterns.»

Research activities include remote sensing techniques for retrieval of spatial, radiative and microphysical cloud properties from multispectral sensor data.

Combining data from several satellites, we produce a decade - long (2000 to 2010) record documenting the ongoing velocity evolution of nearly all (200 +) of Greenland's major outlet glaciers, revealing complex spatial and temporal patterns.

Spatial Autocorrelation and the Detection of Non-Climatic Signals in Climate Data was rejected; at least part of the problem was that the paper appeared to add little new to the discussion, as would be expected from a standalone paper.

The climate community does not seem to exercise such care, and when their poor use of methods is pointed out they just ignore it and carry on (I could give scores of examples, from improper use of principal components, data mining, data snooping, spatial correlation, upside down data, single cause fallacy... and now uniform priors).

Spatial averaging of satellite metrics (Figure 2A, S1) was performed using the original operational data from the greater Caribbean pixels containing, or nearest to, coral reef locations within the region [100W - 55W, 5N - 35N].

NOAA Coral Reef Watch (CRW) thermal stress products used in this study were based on nighttime - only Advanced Very High Resolution Radiometer (AVHRR) sea surface temperature (SST) data from sensors aboard operational NOAA Polar - Orbiting Environmental Satellites (POES), produced in near - real - time at 0.5 - degree (50 - km) spatial resolution.

The flux estimates presented in previous sections use available estimates from every reservoir where GHG emissions have been reported (and mean estimates from reservoirs where multiple studies or years of data have been collected), but it is important to note that the spatial and temporal coverage of these emission estimates are highly variable.

B. Martín - Español et al 2016 - Spatial and temporal Antarctic Ice Sheet mass trends, glacio - isostatic adjustment, and surface processes from a joint inversion of satellite altimeter, gravity, and GPS data

Although we did not explicitly address the temporal or spatial resolution of emission data from each system, it is notable that the few published acoustic and eddy covariance - based reservoir CH4 flux estimates are quite high compared to the median CH4 flux estimates from less temporally and / or spatially integrated measurement techniques (figure 1).

They calculated the so - called shape asymmetries from the seismic data and found each coefficient was essentially zero at activity minimum and rose in precise spatial correlation with rising surface activity, as measured using Ca II K data from Big Bear Solar Observatory.

For example, simple approaches such as spatial interpolation or adding climate changes from GCMs to observed data fields do increase the spatial resolution but add no new information on high resolution climate change.

Spatial sampling uncertainties were estimated by simulating poorly sampled periods (e.g. 1753 to 1850) with modern data (1960 to 2010) for which the Earth coverage was better than 97 % complete, and measuring the departure from the full site average when using only the limited spatial regions available at earlySpatial sampling uncertainties were estimated by simulating poorly sampled periods (e.g. 1753 to 1850) with modern data (1960 to 2010) for which the Earth coverage was better than 97 % complete, and measuring the departure from the full site average when using only the limited spatial regions available at earlyspatial regions available at early times.

To claim anyone has created an accurate spatial model of the history of temperature change from such data is flat out dreaming.

We refer to an interpolated data set (Schäfer - Neth and Paul 2003) from which we use the variance V = (1.41 °C) 2 as the starting point to estimate an uncertainty range for the spatial mean of the data field.

[11] H.E. Brooks, J.W. Lee, and J.P. Craven, «The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data,» Atmos.

«The addition of buoy data in recent decades has been particularly important as the spatial coverage from ship observations has decreased since the 1990's (cf. Fig. 1 (a) in (13)-RRB-.

Furthermore, you would also have noticed that by 1500, the spatial coverage included four of the five spatial regions defined with the first appearance of data from the fifth region coming only after 1600.

This is likely because we maximized the covariance between the sea ice field and the atmospheric circulation by restricting our time averaging to the seasonal mean and restricting our spatial domain to 0 ° — 180 ° W and 30 ° — 75 ° S. Inevitably, indices calculated from local data will explain more local variance than those based on remote data.

With such variability, poor spatial placing and subsequent discontinuity of data in such a geographically varied country only NOAA - which is where the report originates from - could claim these figures with such certainty.

«At the moment the satellite is still in its commissioning phase,» emphasises Engelen,» but we have already started testing the data coming from it, and we expect that the quality and spatial resolution will improve our CAMS analyses and forecasts.»

INCAS is designed to bring together best available spatial, biophysical and land management data from across the nation, to quantify changes in carbon stocks and greenhouse gas emissions in the agriculture, forestry and other land use sectors in Indonesia.