Assessing the built environment using omnidirectional imagery
about
Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next stepsDevelopment and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditions.Evidence for validity of five secondary data sources for enumerating retail food outlets in seven American Indian communities in North Carolina.Using an audit tool (MAPS Global) to assess the characteristics of the physical environment related to walking for transport in youth: reliability of Belgian data.Optimising measurement of health-related characteristics of the built environment: Comparing data collected by foot-based street audits, virtual street audits and routine secondary data sources.The built environment predicts observed physical activity.Assessing the environmental characteristics of cycling routes to school: a study on the reliability and validity of a Google Street View-based audit.Development and testing of a community audit tool to assess rural built environments: Inventories for Community Health Assessment in Rural Towns.Validity of an ecometric neighborhood physical disorder measure constructed by virtual street auditSustainable prevention of obesity through integrated strategies: The SPOTLIGHT project's conceptual framework and design.Assessing environmental features related to mental health: a reliability study of visual streetscape imagesAssessing Walking and Cycling Environments in the Streets of Madrid: Comparing On-Field and Virtual Audits.The SPOTLIGHT virtual audit tool: a valid and reliable tool to assess obesogenic characteristics of the built environment.Alcohol in urban streetscapes: a comparison of the use of Google Street View and on-street observation.Secondary GIS built environment data for health research: guidance for data development.Using Google Street View to audit the built environment: inter-rater reliability resultsCommunities on the Move: Pedestrian-Oriented Zoning as a Facilitator of Adult Active Travel to Work in the United States.More Active Living-oriented County and Municipal Zoning is Associated with Increased Adult Leisure Time Physical Activity-United States, 2011Using Google Street View for systematic observation of the built environment: analysis of spatio-temporal instability of imagery dates.A direct observation method for auditing large urban centers using stratified sampling, mobile GIS technology and virtual environmentsOptimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas.The COURAGE Built Environment Outdoor Checklist: an objective built environment instrument to investigate the impact of the environment on health and disability.Geoprocessing via google maps for assessing obesogenic built environments related to physical activity and chronic noncommunicable diseases: validity and reliability.Validation of a Google Street View-Based Neighborhood Disorder Observational Scale.Online versus in-person comparison of Microscale Audit of Pedestrian Streetscapes (MAPS) assessments: reliability of alternate methods.Street Audits to Measure Neighborhood Disorder: Virtual or In-Person?Invited Commentary: Observing Neighborhood Physical Disorder in an Age of Technological Innovation.Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain.Design of a comparative effectiveness randomized controlled trial testing a faith-based Diabetes Prevention Program (WORD DPP) vs. a Pacific culturally adapted Diabetes Prevention Program (PILI DPP) for Marshallese in the United States.Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain.Learning from Outdoor Webcams: Surveillance of Physical Activity Across EnvironmentsThe potential of Google Street View for studying smokefree signageApplying Google Maps and Google Street View in criminological research
P2860
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P2860
Assessing the built environment using omnidirectional imagery
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Assessing the built environment using omnidirectional imagery
@ast
Assessing the built environment using omnidirectional imagery
@en
type
label
Assessing the built environment using omnidirectional imagery
@ast
Assessing the built environment using omnidirectional imagery
@en
prefLabel
Assessing the built environment using omnidirectional imagery
@ast
Assessing the built environment using omnidirectional imagery
@en
P2093
P2860
P1476
Assessing the built environment using omnidirectional imagery
@en
P2093
Aniruddha Banerjee
Cheryl M Kelly
Douglas K Miller
Elizabeth A Baker
Jeffrey S Wilson
Mario Schootman
Morgan Clennin
P2860
P304
P356
10.1016/J.AMEPRE.2011.09.029
P577
2012-02-01T00:00:00Z