Sentences with phrase «on spatial modeling»

The second focuses on higher education finance, with emphases on spatial modeling and competition based on spatial proximity and spillover effects.

Previously a postdoctoral research associate at the NOAA NEFSC's Woods Hole Laboratory, Fay's research focuses on spatial modeling and statistical analyses of marine fisheries populations with an expertise in quantitative fisheries science and ecosystem modeling.

In the past couple of years at BEST, has there been any opportunity yet to look into clustering effects on your spatial model, i.e., correlation function.

Not exact matches

It is indeed a difficult task to «switch gears» from a theology based on static, spatial models alone, such as the essence of God, the natures of Christ, and the substance of bread and wine, to a theology that is concerned with spatio - temporal models, such as change in God, Christ becoming divine, and the on - going process of revelation.

The core of process thought: Rather than a «substance theology» based on static, spatial models, process thought «switches gears» to a concern with spatial - temporal models such as change in God, Christ becoming divine and the on - going process of revelation.

In one study, participants completed a measure of spatial intelligence that was modeled after items on military aptitude tests.

Mice have proven to be a particularly good model for studies relevant to humans, Magnusson said, on such topics as aging, spatial memory, obesity and other issues.

To further test the generalizability of this model, Parise and Ernst ran additional computer simulations, where they used the Multisensory Correlation Detector model to replicate several previous findings on the temporal and the spatial aspects of multisensory perception.

Although the effect of the spatial distribution of SLR in each CMIP5 model on beach loss rate in Japan is insignificant, the effects of differences in the SLR values among the RCP scenarios and CMIP5 models are significant.

Longitudinal mixed models were also used to estimate the effect of vaccine dose on mean log - transformed antibody levels over time, using a spatial exponential covariance structure to model the correlation between measurements from the same individual while taking into account the number of study days between measurements.

Modeling work is underway on neural architectures of auditory processing, including frequency discrimination and spatial perception models.

We develop systems of ordinary differential equations to address the generic features of the initial phase of spheroid formation and an agent - based three - dimensional computational model to focus on spatial differences in the process.

Although it is well established that the Sun's magnetic field is responsible for the supply of energy to the atmosphere, exactly how this magnetic energy is converted into thermal energy is still not understood in detail, as models struggle to simultaneously encompass the very disparate temporal and spatial scales on which the heating has to occur, in different structures, with a wide variety of characteristics (e.g. open versus closed structures, short quiet - sun loops versus hot active - region loops and large - scale interconnecting loops).

We have previously shown ex-vivo its beneficial effect on synaptic transmission and plasticity in a mouse model of the OPHN1 loss of function.Here, we report that chronic treatment in adult mouse with Fasudil, is able to counteract vertical and horizontal hyperactivities, restores recognition memory and limits the brain ventricular dilatation observed in Ophn1 - / y However, deficits in working and spatial memories are partially or not rescued by the treatment.

With the current study, the authors built on that work, analyzing the planet's nitrogen balance, geochemical proxies and building a spatial nitrogen weathering model to assess rock nitrogen availability on a global scale.

For children who learn through the spatial intelligence, their classroom work can be enhanced through the use of manipulatives and hands - on work, such as models and dissections.

There are four areas that could benefit from consideration in research, practice and policy: (in) the culture of recess, (ii) the importance of healthy role models on the playground, (iii) the necessity of activities, options and variety during recess and (iv) the significance of space and spatial layout (indoor and outdoor)

• Vehicle length increased by 98 millimetres, width by 44 millimetres, height by 7 millimetres, also longer wheelbase (+ 28 millimetres) and larger track width (front + 42 millimetres, rear + 34 millimetres) as compared to the predecessor model (differential figures relate to MINI Cooper); optimised spatial comfort on all four seats; new seat design with larger adjustment range at front and longer seat surface at rear (+ 23 millimetres); more shoulder room and foot space as well as increased comfort for rear passengers; luggage compartment volume increased by 51 litres to 211 litres; rear backrest foldable with 60: 40 split; optional storage package including luggage compartment floor which can be locked into place at varying points.

One of the key aspects the Mercedes engineers focussed on to create this exceptional level of comfort was the new dimensional concept for the body and the interior, which differs from that of the outgoing model in many respects and thus allowed a new form of «spatial planning».

Through an analysis of the work of theorists (e.g. Cohn; Groensteen; Hatfield; Miodrag) and practitioner - theorists (e.g. Eisner; McCloud), a model of comics is developed based on seven key characteristics of the form: space as time; simultaneous juxtaposition of images; closure between images; spatial networks; reader control of pacing; tablodic images; word and image blending.

Founded by Toshiyuki Inoko, the collective bases its practice on a distinctly Japanese sense of spatial recognition and human behavior in the information era, proposing innovative models for societal development.

the exhibition features spatial interventions, scale models, and surface treatments based on an extensive photo study of belgium's domestic landscape.

To mention a few, Lisa Bartolozzi's essay on painting techniques shows how incessantly experimental painting has always been; Vincent Desiderio looks deeply into figurative painting's» technical narrative»; Alexi Worth's hypothesizes «the invention of clumsiness» after photography hit the 19th c. painting world; Donald Kuspit describes some of the impact Freud had on the figure; Kurt Kauper explains kitsch and Jule Heffernan «the male gaze»; Laurie Hogin examines the politics of figurative painting; and John Jacobsmeyer and Nicola Verlato each discuss the meanings of spatial organization via perspective, the camera obscura, 3 - D modeling, and cyberspace.

To test that I varied the data sources, the time periods used, the importance of spatial auto - correlation on the effective numbers of degree of freedom, and most importantly, I looked at how these methodologies stacked up in numerical laboratories (GCM model runs) where I knew the answer already.

When this is done for predicting elections, say, something called «stratification» is used, where observations are qualified by (in this case) spatial extent, time of day, and other auxiliary variables and the response state of atmosphere considered as conditioned on these, and the model evaluated comparably, where it can be.

Climate change scenarios are based on numerical models with finite spatial and temporal resolutions.

Figure 1.4 http://cybele.bu.edu/courses/gg312fall02/chap01/figures/figure1.4.gif shows the natural variability of the annual mean surface temperature on several different spatial scales from a climate model simulation for 200 years.

I think once you fully understand our methodology that you will find it to be a reasonable approach to comparing observations with model expectations on large spatial (global), but intermediate (5 - 15 years) temporal scales.

But models based on physical principles also reproduce the response to seasonal and spatial changes in radiative forcing fairly well, which is one of the many lines of evidence that supports their use in their prediction of the response to anthropogenic forcing.

But, on the basis of studies of nonlinear chaotic models with preferred states or «regimes», it has been argued, that the spatial patterns of the response to anthropogenic forcing may in fact project principally onto modes of natural climate variability.

The top panel shows the direct effects of the individual components, while the second panel attributes various indirect factors (associated with atmospheric chemistry, aerosol cloud interactions and albedo effects) and includes a model estimate of the «efficacy» of the forcing that depends on its spatial distribution.

Since the models are structured on various grid schemes, it's natural to consider the spatial aspect, too.

The ability of climate models to adequately represent extremes partially depends on their spatial resolution (Skelly and Henderson - Sellers, 1996; Osborn, 1997; Mearns, 1999).

The attribution calculation in the IPCC AR5 is based on fingerprint studies, where the spatial patterns of the temperature response of the climate models to various agents are scaled to best reconstruct the temperature record from observational constraints.

The researchers focused on comparing model projections and observations of the spatial and seasonal patterns of how energy flows from Earth to space.

The challenges are significant, but the record of progress suggests that within the next decade the scientific community will develop fully coupled dynamical (prognostic) models of the full Earth system (e.g., the coupled physical climate, biogeochemical, human sub-systems) that can be employed on multi-decadal time - scales and at spatial scales relevant to strategic impact assessment.

Though potentially significant, the findings of the study rely on models with relatively low spatial resolution, which could make it difficult to draw meaningful conclusions, say Prof Joaquim Pinto and Dr Christian Grams, researchers in meteorology from the Karlsruhe Institute of Technology (KIT), Germany, who were not involved in the study.

However, the study's conclusions rely on models that have relatively low spatial resolution, other scientists tell Carbon Brief, which could affect the accuracy of the results.

These estimates are generally model - based because of difficulties in obtaining reliable internal variability estimates from the observational record on the spatial and temporal scales considered in detection studies.

The spatial pattern of changes depends on model resolution.

While regional climate downscaling yields higher spatial resolution, the downscaling is strongly dependent on the lateral boundary conditions and the methods used to constrain the regional climate model variables to the coarser spatial scale information from the parent global models.

Obviously, these RCM predictions heavily rely on the quality of the boundary conditions provided by global climate models, and fail to represent dynamically the spatial interaction between the region of interest and the rest of the world.

Yes, the computers lack both the spatial and temporal resolution to do the job.For example, the accuracy of the model depends on how much power is absorbed in vibration modes of the CO2 molecule, because the specific heat of CO2 at the standard temperature is no were near enough.

Rigor et al. (Polar Science Center, University of Washington); 5.4 Million Square Kilometers; Heuristic This estimate is based on the prior winter Arctic Oscillation (AO) conditions, and the spatial distribution of the sea ice of different ages as estimated from a Drift - age Model (DM), which combines buoy drift and retrievals of sea ice drift from satellites (Rigor and Wallace, 2004, updated).

Spatial forecasts from both a statistical model submitted by Tivy and a dynamical model submitted by Zhang are discussed in the following section on the Northwest Passage.

Using an ensemble of four high resolution (~ 25 km) regional climate models, this study analyses the future (2021 - 2050) spatial distribution of seasonal temperature and precipitation extremes in the Ganges river basin based on the SRES A1B emissions scenario.

Current computer models can faithfully simulate many of the important aspects of the global climate system, such as changes in global average temperature over many decades; the march of the seasons on large spatial scales; and how the climate responds to large - scale forcing, like a large volcanic eruption.

«The authors write that North Pacific Decadal Variability (NPDV) «is a key component in predictability studies of both regional and global climate change,»... they emphasize that given the links between both the PDO and the NPGO with global climate, the accurate characterization and the degree of predictability of these two modes in coupled climate models is an important «open question in climate dynamics» that needs to be addressed... report that model - derived «temporal and spatial statistics of the North Pacific Ocean modes exhibit significant discrepancies from observations in their twentieth - century climate... conclude that «for implications on future climate change, the coupled climate models show no consensus on projected future changes in frequency of either the first or second leading pattern of North Pacific SST anomalies,» and they say that «the lack of a consensus in changes in either mode also affects confidence in projected changes in the overlying atmospheric circulation.»»

To conduct their study, the researchers used a spatial model of marsh morphodynamics into which they incorporated recently published observations from field experiments on marsh vegetation response to varying levels of atmospheric carbon dioxide.

She has been working on analysing climate change impacts on societal sectors for several years, focusing on the analysis of human - environmental systems, using conceptual as well as quantitative modelling approaches and spatial analysis methods.