Sentences with phrase «spatial data analysis»

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 entire BioMap2 analysis rests on a foundation of spatial data that was managed by EES staff.

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.

The findings, published in the journal Global Change Biology, are based on spatial and statistical analyses of historical climate data, satellite data on current vegetation, and projections of potential vegetation under climate change.

High throughput genome sequencing and quantitative image analysis provide evolution, metabolic, and interaction data to build community metabolome maps, taxa / gene networks, and spatial ecosystem models.

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

Several previous analyses of tide gauge records1, 2,3,4,5,6 — employing different methods to accommodate the spatial sparsity and temporal incompleteness of the data and to constrain the geometry of long - term sea - level change — have concluded that GMSL rose over the twentieth century at a mean rate of 1.6 to 1.9 millimetres per year.

Moreover, graph theory - based network analyses have also been applied to resting - state fMRI data, identifying similar RSNs, although typically at a coarser spatial resolution.

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.

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

User - friendly dictionary aligns with NCTM Standards related to number sense and operations, algebraic thinking, measurement, geometry, spatial sense, data analysis, probability, and problem solving.

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

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.

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 oAnalysis 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 oanalysis and mapping for the Museum of the City of New York's (MCNY) first permanent exhibition, New York at Its Core, which opened...

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...

«Although previous reports suggest slight recent continental warming, our spatial analysis of Antarctic meteorological data demonstrates a net cooling on the Antarctic continent between 1966 and 2000, particularly during summer and autumn.»

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.

Data are often incomplete in spatial and temporal domains and regional analyses are variable and sometimes contradictory; however, the weight of evidence indicates an ongoing intensification of the water cycle.

Analysis of survey and fisheries data in the Bering Sea and Gulf of Alaska with a geographical information system to determine spatial patterns in distributions and bycatch of various species including salmon and crab.

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.

Analyses of tide gauge and altimetry data by Vinogradov and Ponte (2011), which indicated the presence of considerably small spatial scale variability in annual mean sea level over many coastal regions, are an important factor for understanding the uncertainties in regional sea - level simulations and projections at sub-decadal time scales in coarse - resolution climate models that are also discussed in Chapter 13.

Topics include descriptive statistics, hypothesis testing, experimental design, exploratory data analysis, probability and uncertainty, time series analysis, and spatial stats.

Topics include: environmental monitoring, incorporating methods for censored data and for time series; spatial data interpolation and prediction; and multi-criteria decision analysis.

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

«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.»

Interannual variability of climate is likely to strongly influence the spatial distribution of CO2 sources and sinks, so that analyses based on a few years of data are insufficient to establish a long - term trend.

European Forest Data Centre; EFDAC; free software; Free Scientific Software; Free and Open Source Software; Europe; forest information system; European Forest Fire Information System; EFFIS; geospatial; geospatial tools; semantic array programming; morphological spatial pattern analysis; GUIDOS; reproducible research; environmental modelling

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.

* 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.

The analysis is limited to the period since 1880 because of poor spatial coverage of stations and decreasing data quality prior to that time.

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.

March 5, 2018 Bren Seminar, Antonio Medrano, Postdoctoral Researcher, Bren School — «GIS Data for Spatial Analysis: What to Avoid at All Costs» (more)

• 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.

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

Coordinated with policy and planning analyst to and execute spatial analyses of demographic data.

Sample resumes for this position include such tasks as developing customized solutions to improve the productivity and capabilities of GIS analysis teams, translating business logic into functioning programs that efficiently and reliably turn inputs into outputs necessary for critical organization functions, and producing automated solutions for time - consuming and error - prone tasks ranging from the mass production of mapping products to spatial data management.

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

SRC recently released new versions of its Alteryx platform, which integrates data and analytics, allowing users to quickly perform data profiling, transformation and geo - spatial analysis.