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Institution

Esri (Canada)

CompanyToronto, Ontario, Canada
About: Esri (Canada) is a(n) company organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topic(s): Geographic information system & Smart city. The organization has 20 authors who have published 19 publication(s) receiving 140 citation(s). The organization is also known as: Environmental Systems Research Institute.
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Journal ArticleDOI
TL;DR: Neighbourhood-level socio-economic-related risks are found to have direct effects on low birth weight and preterm birth and the evidence supports both the materialist and psycho-social conceptualizations and the pathways that describe them, although the magnitude of the former is greater than the latter.
Abstract: Background Although socio-economic factors have been identified as one of the most important groups of neighbourhood-level risks affecting birth outcomes, uncertainties still exist concerning the pathways through which they are transferred to individual risk factors. This poses a challenge for setting priorities and developing appropriate community-oriented public health interventions and planning guidelines to reduce the level of adverse birth outcomes.

42 citations


Journal ArticleDOI
TL;DR: The findings suggest that living near blue spaces in urban areas has important benefits to health, but further work is needed to better understand the drivers of this association.
Abstract: Background: Increasing evidence suggests that residential exposures to natural environments, such as green spaces, are associated with many health benefits. Only a single study has examined the pot...

18 citations


Journal ArticleDOI
Abstract: The Canadian Surface Prediction Archive (CaSPAr) is an archive of numerical weather predictions issued by Environment and Climate Change Canada. Among the products archived on a daily basis...

10 citations


Journal ArticleDOI
TL;DR: A crowd sensing system (CSS) that captures geospatial social media topics and allows the review of results and is used for demonstration purposes to identify geotopics and community interests relevant to municipal affairs in the City of Toronto, Canada.
Abstract: This paper presents a crowd sensing system (CSS) that captures geospatial social media topics and allows the review of results. Using Web-resources derived from social media platforms, the CSS uses...

9 citations


Journal ArticleDOI
TL;DR: A Web-based graphical user interface developed using Web AppBuilder for ArcGIS for digitized meso-scale 3D scans of geological samples to be viewed alongside the macro-scale environment to demonstrate the utility of such a tool in an age of increasing global data sharing.
Abstract: Geological observations can be made on multiple scales, including micro- (e.g. thin section), meso- (e.g. hand-sized to outcrop) and macro- (e.g. outcrop and larger) scales. Types of meso-scale samples include, but are not limited to, rocks (including drill cores), minerals, and fossils. The spatial relationship among samples paired with physical (e.g. granulometric composition, density, roughness) and chemical (e.g. mineralogical and isotopic composition) properties can aid in interpreting geological settings, such as paleo-environmental and formational conditions as well as geomorphological history. Field samples are collected along traverses in the area of interest based on characteristic representativeness of a region, predetermined rate of sampling, and/or uniqueness. The location of a sample can provide relative context in seeking out additional key samples. Beyond labelling and recording of geospatial coordinates for samples, further analysis of physical and chemical properties may be conducted in the field and laboratory. The main motivation for this paper is to present a workflow for the digital preservation of samples (via 3D laser scanning) paired with the development of cyber infrastructure, which offers geoscientists and engineers the opportunity to access an increasingly diverse worldwide collection of digital Earth materials. This paper describes a Web-based graphical user interface developed using Web AppBuilder for ArcGIS for digitized meso-scale 3D scans of geological samples to be viewed alongside the macro-scale environment. Over 100 samples of virtual rocks, minerals and fossils populate the developed geological database and are linked explicitly with their associated attributes, characteristic properties, and location. Applications of this new Web-based geological visualization paradigm in the geosciences demonstrate the utility of such a tool in an age of increasing global data sharing. A database of virtual geological samples is populated via 3D desktop laser scanning.3D visualization widget for meso-scale samples built for Web-based ArcGIS.Blending widget for geophysical data built to provide geological context.Geovisualization of virtual samples now possible for Web-based ArcGIS platform.

9 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20212
20203
20193
20182
20171
20161