Sentences with phrase «spatial data used»

Spatial data used in preparing these maps have been sourced from and used with permission of Landgate, WA, Dept of Natural Resources and Water, Qld, Dept of Lands, NSW, Dept of Planning & Infrastructure, NT, Dept of Environment and Heritage, SA, Dept of Sustainability and Environment, Vic, Geoscience Australia, Australian Government and National Native Title Tribunal.

Not exact matches

We completed an intensive GIS spatial analysis to identify parts of our Commonwealth most threatened by development and created a website with interactive maps and data for use at the town, watershed, or county scale.

This data can then be used to analyze the spatial and temporal dynamics of environmental conditions, including baseline data for global climate change and their relevance to changes in regional land use 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.

Technically speaking, geomatics is the science and technology of collecting, manipulating, presenting, and using spatial and geographic data (notably data pertaining to Earth) in digital form.

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.

Kane, V.R., et al., Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park, Remote Sensing of Environment (2013)

Argonne's scientists are also working with the City of Chicago to use Waggle as a platform to increase the spatial and temporal data available for a range of scientific and «smart city» applications.

This helps investigators create data maps used to detect spatial and temporal patterns.

A large German consortium has been studying how land - use intensification affects functional diversity, and more work needs to be done on the role of spatial data and interactions at the landscape level, rather than in microcosms or individual study sites.

Gabriel added, «Our study shows that with a little bit of training and a good sampling design, recreational divers collect very useful data that can be used to monitor shark populations over long periods of time and across large spatial areas.

The researcher judged walkability using geographic information systems — essentially maps that measure and analyze spatial data.

This is not very informative, because both the spatial and temporal variability is large, and any question of decline can only be correctly addressed using all the data together, and over a statistically significant time period (30 years or more would be preferred).

Disease prevention versus data privacy: Using landcover maps to inform spatial epidemic models.

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.

We carried out validation of the model using a variogram - based procedure, which tested the compatibility of the adopted spatial structure with the data.

BOLD images were preprocessed in standard fashion, with spatial realignment, normalization, and smoothing (9 mm kernel) of all data using SPM99 software (Wellcome Trust Department of Imaging Neuroscience, London, U.K.)

Title: Digital spatial profiling platform allows for spatially - resolved, high - plex quantification of mRNA distribution and abundance on FFPE and fresh frozen tissue sections Date / Time: Tuesday, April 17 2018, 8am - 12:00 pm CT Author: Daniel Zollinger, NanoString Poster # / Location: 3434 / Section 18, Board 16 Hyperlink: http://www.abstractsonline.com/pp8/#!/4562/presentation/7119 Digital Spatial Profiling can be used to obtain high - plex, spatial mRNA expression data (10's to 100's of genes) and protein expression data on FFPE and fresh frozen tissue sespatial profiling platform allows for spatially - resolved, high - plex quantification of mRNA distribution and abundance on FFPE and fresh frozen tissue sections Date / Time: Tuesday, April 17 2018, 8am - 12:00 pm CT Author: Daniel Zollinger, NanoString Poster # / Location: 3434 / Section 18, Board 16 Hyperlink: http://www.abstractsonline.com/pp8/#!/4562/presentation/7119 Digital Spatial Profiling can be used to obtain high - plex, spatial mRNA expression data (10's to 100's of genes) and protein expression data on FFPE and fresh frozen tissue seSpatial Profiling can be used to obtain high - plex, spatial mRNA expression data (10's to 100's of genes) and protein expression data on FFPE and fresh frozen tissue sespatial mRNA expression data (10's to 100's of genes) and protein expression data on FFPE and fresh frozen tissue sections.

Manitoba, Canada About Blog The Manitoba GIS User Group (MGUG) is a group of geomatics professionals and interested individuals using or supporting the use of Geographic Information Systems (GIS) for spatial data management, analysis, and visualization.

With the expanding use of geographic information systems (GIS) throughout the country, the ADSIC launched the Abu Dhabi Spatial Data Infrastructure (AD - SDI) initiative in 2007.

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.

She explores these issues using unique national public opinion data, spatial analysis (GIS), and synthetic control methodologies.

Curtis, A., «Using a Spatial Filter and a Geographic Information System to Improve Rabies Surveillance Data.»

Although both sources of data were originally developed for other objectives — oceanographic research and safety at sea — these data streams provide valuable information for evaluation of spatial use patterns.

Using real world photographs with spatial and light source data inputted, you can actually place a car in the picture.

As you play, the game collects data on the player's spatial awareness that is used to benefit studies on dementia.

The group, whose funders include the European Research Council, combs through data such as smartphone footage, satellite imagery, maps, and phone logs to create three - dimensional spatial maps of conflict sites, using architectural rendering software and other analytic tools.

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.

According to Doswell (2007): «I see no near - term solution to the problem of detecting detailed spatial and temporal trends in the occurrence of tornadoes by using the observed data in its current form or in any form likely to evolve in the near future.»

A basic difference between our calculations and those of O'Donnell is that we chose to retain the trend information in the satellite data in the presentation of our results, whereas their method uses only the spatial information.

However, making that choice — using only the spatial, but not the temporal information in the satellite data — means one becomes entirely reliant on the trends in the ground station data.

An analysis using synthetic proxy data with spatial sampling density and proxy signal - to - noise ratios equivalent to those of the D'Arrigo et al (2006) tree - ring network suggest that these discrepancies can not be explained in terms of either the spatial sampling / extent or the intrinsic «noisiness» of the network of proxy records.

But the more basic point here is that the Cowtan paper does not use the satellite time trend (which is somewhat unreliable — remember the long history of corrections, and the difference in trends between the UAH and RSS products), it only uses the satellite spatial pattern to fill the data holes.

(I don't know how you could scientifically use data on village movements without comprehensive spatial and temporal data on other sites to determine a general pattern for permafrost wrt global warming, but I thought it might interest you.)

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.»

Re to: # 1 I'm learning to use the technique at the moment (spatial relations for lakes and water chemistry in Sweden), there are so many ways to do and use PCA and FA so I guess it will take some time to nail it... the two books I found most helpful in the start for multivariate techniques are: Applied Multivariate Methods for Data Analysts, Dallas E. Johnson AND APPLIED MULTIVARIATE TECHNIQUES, SUBHASH SHARMA.

It includes the agreed rules for participant data sets, an overview of the assessment schedule and procedures, and descriptions of the spatial and temporal domains to be used.

These measurements are at high spatial resolution that can also be used to validate satellite data.

The hydrologic projections were forced with GCM data downscaled to a 1 / 16 - degree resolution using Bias - Correction Spatial Disaggregation (BCSD)(Wood et al. 2004) following Werner (2011).

Despite the fact that there are differences between these three ocean heat content estimates due to the data used, quality control applied, instrumental biases, temporal and spatial averaging and analysis methods (Appendix 5.

For the hydrologic projections, the GCM data were downscaled to a 1 / 16 - degree resolution using Bias - Correction Spatial Disaggregation (BCSD)(Wood et al. 2004) following Werner (2011).

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).

The time series land based thermometer records are hopeless (not simply because of question adjustments and homogenisation, and instrument error bounds) but also because that throughout the time series the stations used with which the data is being compiled, at any one moment of time, is continually changing, so too their spatial coverage, such that at no time is like with like ever comparable.

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.

Wang, 2011: Detecting the ITCZ in instantaneous satellite data using spatial - temporal statistical modeling: ITCZ climatology in the east Pacific.

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.

This work includes assembling and disseminating the observational data within the province and developing spatial climate data products over BC for the use of scientists and individuals worldwide.

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.

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.