Sentences with phrase «for spatial data»

Assured correct data formatting for the Spatial Data Standard for Facilities, Infrastructure and Environment

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.

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.

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.

Additionally, fiber allows for dense spatial sampling, meaning data points are only meters apart, whereas seismometers typically are separated by many kilometers.

The researchers then analyzed this tracking data as a spatial network of movements and were able, for the first time, to estimate the quantities of nitrogen deposited around the remote unfished reef of Palmyra Atoll via the sharks» fecal material.

The data have helped them learn more about the snakes» spatial range and behavior and develop population models they hope will be useful for conserving the locally threatened population of pine snakes.

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.

«We have designed a specialized acquisition method that gathers the necessary data for both space and time in two parts and then combines them to achieve high - quality, high - spatial resolution, and high - speed imaging.»

«The data, information and knowledge on long - term trends of surface water bodies across the CONUS at high spatial resolution are valuable for planning and management of surface water resources, however, they are not widely available yet,» said Xiao, professor of ecology and remote sensing in the Department of Microbiology and Plant Biology, OU College of Arts and Sciences.

This study highlights the need for high - resolution spatial data on tiger mosquito density, biting behavior, and seasonality to better understand, predict, and manage arboviral transmission risk in temperate cities.

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

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.

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.

For example, center researchers will be investigating the hypothesis that some high - functioning autistic adults have exceptional visual, spatial and pattern - recognition abilities that give them a unique advantage for certain tasks such as data visualizatFor example, center researchers will be investigating the hypothesis that some high - functioning autistic adults have exceptional visual, spatial and pattern - recognition abilities that give them a unique advantage for certain tasks such as data visualizatfor certain tasks such as data visualization

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.

EPR imaging (EPRI) is a powerful technique that enables 3D spatial in vivo mapping of radical metabolism, oxygenation, and nitric oxide; however, the utility and power of EPRI has been greatly limited by the need for complementary anatomic and functional data.

Multiplexed Imaging Here the goal is to add spatial resolution to cytometry - data in order to understand, in a tissue, WHERE immune and cancer cells interact We design, develop and apply methods for multiplexed visualization of protein and RNA molecules in tissue sections.

The ARM Aerosol Measurement Science Group (AMSG) coordinates ARM Climate Research Facility observations of aerosols and atmospheric trace gases with user needs to ensure advanced, well - characterized observational measurements and data products — at the spatial and temporal scales necessary — for improving climate science and model forecasts.

The other day SpatialDE, our statistical test for spatially variable genes in spatial transcriptomics data was published in Nature Methods.

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.

North America About Blog GIS Geography is the source for geographic data, cartographic maps, remote sensing, spatial analysis and GIS software.

Its mission is to serve as a global forum for the collaboration of developers and users of spatial data products and services, and to advance the development of international standards for geospatial interoperability.

With The Super Source teacher guide, students will build skills in looking for patterns, spatial visualization, and organizing and interpreting data with each hands - on lessons.

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.

Methodologically, González Canché employs econometric, quasi-experimental, spatial statistics, and visualization methods for big and geocoded data, including geographical information systems and network modeling.

With The Super Source teacher guide, students will build skills in looking for patterns, spatial visualization, and organizing and interpreting data with each hands - on lesson.

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.

The Spatial Analysis and Visualization Initiative (SAVI) at Pratt Institute, along with co-organizers Carto and Enigma, will bring the concept of «Data through Design» to life in a dynamic visual exhibition as part of NYC Open Data Week in March, a city - wide initiative led by the New York City Mayor's Office of Data Analytics to celebrate the access to, and benefits of, open data for Data through Design» to life in a dynamic visual exhibition as part of NYC Open Data Week in March, a city - wide initiative led by the New York City Mayor's Office of Data Analytics to celebrate the access to, and benefits of, open data for Data Week in March, a city - wide initiative led by the New York City Mayor's Office of Data Analytics to celebrate the access to, and benefits of, open data for Data Analytics to celebrate the access to, and benefits of, open data for data for all.

The Spatial Analysis and Visualization Initiative (SAVI) at Pratt worked on data analysis and mapping for the Museum of the City of New York's (MCNY) first permanent exhibition, New York at Its Core, which opened...

In this case, there has been an identification of a host of small issues (and, in truth, there are always small issues in any complex field) that have involved the fidelity of the observations (the spatial coverage, the corrections for known biases), the fidelity of the models (issues with the forcings, examinations of the variability in ocean vertical transports etc.), and the coherence of the model - data comparisons.

Gavin points out these sources of error: ``... imperfect data and has uncertainties due to spatial sampling, inhomogeneities of records (for multiple reasons), errors in transcription etc..»

For the data contained in Figure 2 can be compared against all other determinations of Antarctica's temperature history, over any subperiod of interest, and represents a spatial scale that you are comfortable with.

(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.)

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

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.

We provide a list of issues that need to be addressed to make inferences more defensible, including the consideration of (i) data limitations and the comparability of data sets; (ii) alternative mechanisms for change; (iii) appropriate response variables; (iv) a suitable model for the process under study; (v) temporal autocorrelation; (vi) spatial autocorrelation and patterns; and (vii) the reporting of rates of change.

Assuming the spatial patterns of the warming shown by the GISS LOTI data are close to being correct, then the differences with the lower troposphere data appear to show that lower troposphere temperature data would be of questionable value for infilling the HADCRUT4 data.

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.

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

The goal is to provide the Arctic research community and other users of Arctic climate information with access to climate variability and change data on the smaller spatial scales that are needed for improved fundamental understanding and for decision support applications and assessment research.

Additional spatial, temporal and instrument information for data within the WOUDC.

A Doppler corrected measure is defined and applied to 10 years of ECMWF reanalysis data, correcting the storm track measure for spatial and temporal variability of the advection speed.

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).

Figure 2: RCP on - line database showing RPC6 spatial data for industry CO2e emissions for the year 2020.

Relevant spatial data is introduced, as well as ways to analyse it for the joint implementation of these two international commitments.

The resulting product forms a comprehensive data set with high spatial and sectoral resolutions for the period extending to 2100.

The optical thickness for Krakatoa is 1.1 times that for Pinatubo, based on three - year integration of pyrheliometer data, with the spatial distribution based on Pinatubo but with the two hemispheres switched.

Meanwhile, the few studies that involve a higher spatial resolution generally do so by sacrificing the temporal coverage of the data, providing them with a «case study» point of view of a particular weather event, rather than robust statistics required for an understanding of climate.