Sentences with phrase «using spatial analysis»

Using spatial analysis, the authors determined how many gynecologic oncologists were located within 50, 100, and 150 miles of county borders for more than 3,000 counties in the United States.

After Grieve and Nini were able to determine these terms as well as their locations, they used a spatial analysis technique known as hot - spot testing to create the smooth mapping style, which you can adjust, that you see in their interactive.

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.

The traditional methods used in materials science analysis, like high - powered electron microscopy and spectroscopy, do not combine chemical insights with the spatial resolution of IR imaging, the researchers said, so they can only provide average chemical measurements.

Using version 5.1 of the Community Atmospheric Model, developed by the Department of Energy (DOE) and the National Science Foundation (NSF) for use by the scientific community, Wehner and his co-authors conducted an analysis for the period 1979 to 2005 at three spatial resolutions: 25 km, 100 km, and 200 km.

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.

Researchers from the University of Vermont and Oregon State University used spatial models and statistical analyses to map 81 fires as well as insect outbreaks over a 25 - year period in Oregon and Washington state.

The team used a technique called Spatial Point Pattern Analysis to map precisely the location of each of the many artifacts and biological materials.

Using new spatial and statistical analyses developed at Imperial College London, they were able to show that 85 % of species» abundances are affected, either positively or negatively, by forest edges.

We intend to provide a few simple portals as a starting point, but new portals can be developed by anyone in the scientific or computational community, for a wide diversity of use cases, including: clustering, differential interference, spatial reconstruction, visualization, and graph - based analysis.

Amélie works in the realm of marine and coastal ecology and conservation and her research interests include the use of spatial tools (GIS, spatio - temporal analyses, bio-logging, habitat mapping) to understand and mitigate impacts of anthropogenic activities and changes on wildlife and natural values.

We studied the remodeling of cytoskeleton networks during invadopodia formation and elongation using ultrastructural analysis, spatial distribution of molecular markers, and RNA interference silencing of protein expression.

Functional connectivity is typically measured using one of three approaches: (1) regression analysis using a seed region of interest (Greicius et al., 2003; Fox et al., 2005), (2) full or partial correlation analysis of multiple regions of interest (Ryali et al., 2012), or (3) independent component analysis (ICA) of the entire imaging dataset to identify spatial maps with common temporal profiles (Beckmann and Smith, 2004; Cole et al., 2010).

We analysed these parasite genotypes for genetic structure using principal component analysis and assessed local and global clustering using statistical measures of spatial autocorrelation.

Such networks have been consistently identified across subjects using spatial ICA (independent component analysis).

Spatial and Spectral Analysis of in - Situ Tumor - Normal Interfaces in Freshly Resected Lumpectomy Slices using Multispectral Structured Light Imaging

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.

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

Nams, V. O. & Bourgeois, M. Fractal analysis measures habitat use at different spatial scales: an example with American marten.

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.

Kriging is a technique used in spatial analysis.

In fact, Min et al. used leading empirical orthogonal functions (EOFs; a type of principal component analysis) in their attribution analysis for extreme precipitation, implying large spatial scales.

Uses analyses at national and state scales to examine a suite of climatic and intrinsic drivers of continental - scale West Nile virus epidemics, including an empirically derived mechanistic relationship between temperature and transmission potential that accounts for spatial variability in vectors

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.

Using example maps for Uganda, the report illustrates how spatial analysis can support REDD + planning.

Thus, even with the higher resolution analyses of terrain and land use in the regional domain, the errors and uncertainty from the larger model still persist, rendering the added simulated spatial details inaccurate.

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.

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.

Extreme event analysis is then conducted using spatial hierarchical Bayesian modeling (SHB).

Emphasis on using open - source tools and scripting languages to ingest and manage real - world data, orchestrate complex analyses, and communicate spatial information.

This project uses an innovative spatial bio-economic analysis to provide a strategic framework for implementing offshore shrimp aquaculture with greater certainty of success.

This PCIC report is intended to assist those engaged in climate change impact, vulnerability and adaptation analyses by providing guidelines on how to choose climate scenarios, including the choice of appropriate spatial and temporal scales of the data and methods to use.

This technical document highlights how spatial analysis and land - use modelling can help in understanding the potential impacts on biodiversity, ecosystems services of policy options for achieving REDD + objectives.

* In February, 2006 NCDC transitioned to the use of an improved Global Land and Ocean data set (Smith and Reynolds analysis (2005)-RRB- which incorporates new algorithms that better account for factors such as changes in spatial coverage and evolving observing methods.

We use the 250 km analysis because it is better - suited for illustrating variability on regional spatial scales.

These streams may come from multiple copies of the same sensor, or they may be ancillary data fields that are used in synergy with the primary data stream.b Thorough analysis of sensor performance and improved processing algorithms are also required, as are quantitative estimates of spatial and temporal errors.

Here we consider briefly some additional studies that examine the spatial structure of observed trends or use more sophisticated time - series analysis techniques to characterise the behaviour of global, hemispheric and zonal mean temperatures.

• Substantial knowledge of database software including MS Access, Oracle and SQL Server • Skilled in creating maps and spatial datasets using various GIS software • Adept at conducting geographical research involving collection, analysis and integration of spatial data • Demonstrated ability of combining drawings from various sources into consolidated sets in terms of scales, line weights and attributes • Effective skills in placement and maintenance of graphical figures in GIS systems using Intergraph FRAMME and Small World • Expert in Micro Station, AutoCAD, Civil 3D and other integrated electronic drawing packages

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.

Professional Duties & Responsibilities Biomedical and biotechnology engineer with background in design of biomaterials, biosensors, drug delivery devices, microfrabrication, and tissue engineering Working knowledge of direct cell writing and rapid prototyping Experience fabricating nanocomposite hydrogel scaffolds Proficient in material analysis, mechanical, biochemical, and morphological testing of synthetic and biological materials Extensive experience in bio-imaging processes and procedures Specialized in mammalian, microbial, and viral cell culture Working knowledge of lab techniques and instruments including electrophoresis, chromatography, microscopy, spectroscopy, PCR, Flow cytometery, protein assay, DNA isolation techniques, polymer synthesis and characterization, and synthetic fiber production Developed strong knowledge of FDA, GLP, GMP, GCP, and GDP regulatory requirements Created biocompatible photocurable hydrogels for cell immobilization Formulated cell friendly prepolymer formulation Performed surface modification of nano - particle fillers to enhance their biocompatibility Evaluated cell and biomaterial interaction, cell growth, and proliferation Designed bench - top experiments and protocols to simulate in vivo situations Designed hydrogel based microfluidic prototypes for cell entrapment and cell culture utilizing computer - aided robotic dispenser Determined various mechanical, morphological, and transport properties of photocured hydrogels using Instron, FTIR, EDX, X-ray diffraction, DSC, TGA, and DMA Assessed biocompatibility of hydrogels and physiology of entrapped cells Evaluated intracellular and extracellular reactions of entrapped cells on spatial and temporal scales using optical, confocal, fluorescence, atomic force, and scanning electron microscopies Designed various biochemical assays Developed thermosensitive PET membranes for transdermal drug delivery application using Gamma radiation induced graft co-polymerization of N - isopropyl acylamide and Acrylic acid Characterized grafted co-polymer using various polymer characterization techniques Manipulated lower critical solution temperature of grafted thermosensitive co-polymer Loaded antibiotic on grafted co-polymer and determined drug release profile with temperature Determined biomechanical and biochemical properties of biological gels isolated from marine organisms Analyzed morphological and mechanical properties of metal coated yarns using SEM and Instron Performed analytical work on pharmaceutical formulations using gas and high performance liquid chromatography Performed market research and analysis for medical textile company Developed and implement comprehensive marketing and sales campaign

Spatial analysis of health effects of large industrial incinerators in England, 1998 — 2008: a study using matched case — control areas

An observer - independent tract - based spatial statistics (TBSS) analysis method was used to analyze the DTI data.

Tract - based spatial statistics (TBSS) was used to perform voxel-wise statistical analysis of FA, MD, AD, and RD (Smith et al. 2007).

Using spatial IP and geo - distance analysis, we can target real estate agents that have hyperlocal expertise within your city, neighborhood, and even those that know your street.