Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas. - Wikidata - awgldk - TriplyDB

Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas.

Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas.

http://www.wikidata.org/entity/Q37724546

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Examining relationships between perceptions and objective assessments of neighborhood environment and sedentary time: Data from the Washington, D.C. Cardiovascular Health and Needs Assessment.Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain.

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Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas.

http://www.wikidata.org/entity/Q37724546

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 08 March 2017

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Optimizing Scoring and Samplin ...... Quality in Residential Areas.

@en

Optimizing Scoring and Samplin ...... Quality in Residential Areas.

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type

label

Optimizing Scoring and Samplin ...... Quality in Residential Areas.

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Optimizing Scoring and Samplin ...... Quality in Residential Areas.

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prefLabel

Optimizing Scoring and Samplin ...... Quality in Residential Areas.

@en

Optimizing Scoring and Samplin ...... Quality in Residential Areas.

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International Journal of Environmental Research and Public Health

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Optimizing Scoring and Samplin ...... Quality in Residential Areas.

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Chaarushi Ahuja

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Colby Ayers

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David Berrigan

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Joel Adu-Brimpong

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Joshua Rivers

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Nathan Coffey

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Samantha Thomas

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Tiffany M Powell-Wiley

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Valerie Mitchell

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P2860

The Measurement of Observer Agreement for Categorical Data

Using Google Street View to audit neighborhood environments

Validation of Walk Score for estimating access to walkable amenities

The built environment predicts observed physical activity.

Measuring the built environment for physical activity: state of the science

Contribution of streetscape audits to explanation of physical activity in four age groups based on the Microscale Audit of Pedestrian Streetscapes (MAPS).

Can virtual streetscape audits reliably replace physical streetscape audits?

Assessing Walking and Cycling Environments in the Streets of Madrid: Comparing On-Field and Virtual Audits.

Development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS).

The SPOTLIGHT virtual audit tool: a valid and reliable tool to assess obesogenic characteristics of the built environment.

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scholarly article

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10.3390/IJERPH14030273

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3

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14

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Leah Rae Yingling

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2017-03-08T00:00:00Z

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28282878

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