The spatial dimensions of neighborhood effects

Spielman, Seth E.; Yoo, Eun-Hye

doi:10.1016/j.socscimed.2008.12.048

Cited by 134 publications

(123 citation statements)

References 27 publications

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“…Estimating the density of food outlets within buffers, or by means of kernel density estimation rather than administrative area, enables one to take into account the fact that individuals often cross the boundaries of their residential area to go shopping. However, it should be emphasised that the appropriate size of the area around the place of residence to be defined as the neighbourhood remains subject to debate (68)(69)(70) . The choice of this area size is based on assumptions concerning the geographic zone that includes food environment elements influencing food behaviour.…”

Section: Discussionmentioning

confidence: 99%

“…It is also important to underline that few studies exist which question individuals as to the distance they would be prepared to cover for food needs. Thus, because of the complexity of the relationship between environment and behaviour, defining the size of the neighbourhood in which this relationship operates remains a challenging methodological issue (68,71) . GIS methods enable the modelling of proximity to food outlets using metric distance and travel time to food outlets.…”

Section: Discussionmentioning

confidence: 99%

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Measuring the food environment using geographical information systems: a methodological review

Charreire

Casey

Salze

et al. 2010

Public Health Nutr.

351

302

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Objective: Through a literature review, we investigated the geographic information systems (GIS) methods used to define the food environment and the types of spatial measurements they generate. Design: Review study. Setting: Searches were conducted in health science databases, including Medline/ Pubmed, PsycINFO, Francis and GeoBase. We included studies using GIS-based measures of the food environment published up to 1 June 2008. Results: Twenty-nine papers were included. Two different spatial approaches were identified. The density approach quantifies the availability of food outlets using the buffer method, kernel density estimation or spatial clustering. The proximity approach assesses the distance to food outlets by measuring distances or travel times. GIS network analysis tools enable the modelling of travel time between referent addresses (home) and food outlets for a given transportation network and mode, and the assumption of travel routing behaviours. Numerous studies combined both approaches to compare food outlet spatial accessibility between different types of neighbourhoods or to investigate relationships between characteristics of the food environment and individual food behaviour. Conclusions: GIS methods provide new approaches for assessing the food environment by modelling spatial accessibility to food outlets. On the basis of the available literature, it appears that only some GIS methods have been used, while other GIS methods combining availability and proximity, such as spatial interaction models, have not yet been applied to this field. Future research would also benefit from a combination of GIS methods with survey approaches to describe both spatial and social food outlet accessibility as important determinants of individual food behaviours.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Measuring the food environment using geographical information systems: a methodological review

Charreire

Casey

Salze

et al. 2010

Public Health Nutr.

351

302

View full text Add to dashboard Cite

show abstract

“…This discussion parallels discussions of spatial scale, units of analysis, and the MAUP. It also reinforces the need to think about the geography of -effective‖ units prior to analysis, and also to experiment with different scales and aggregations (see also Flowerdew, Manley, and Sabel 2008, Riva et al 2008, Mobley, Kuo, and Andrews 2008, and Spielman and Yoo 2009 whites across the United States. And Yang and Matthews (2012) used GWR on individual-level data to examine local variation in health service distrust among the elderly in Philadelphia.…”

Section: Geographically Weighted Regressionmentioning

confidence: 81%

Progress in Spatial Demography

Matthews¹,

Parker²

2013

DemRes

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BACKGROUNDDemography is an inherently spatial science, yet the application of spatial data and methods to demographic research has tended to lag that of other disciplines. In recent years, there has been a surge in interest in adding a spatial perspective to demography. This sharp rise in interest has been driven in part by rapid advances in geospatial data, new technologies, and methods of analysis. OBJECTIVESWe offer a brief introduction to four of the advanced spatial analytic methods: spatial econometrics, geographically weighted regression, multilevel modeling, and spatial pattern analysis. We look at both the methods used and the insights that can be gained by applying a spatial perspective to demographic processes and outcomes. To help illustrate these substantive insights, we introduce six papers that are included in a Special Collection on Spatial Demography. We close with some predictions for the future, as we anticipate that spatial thinking and the use of geospatial data, technology, and analytical methods will change how many demographers address important demographic research questions.

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“…The local variance model is commonly used in defining an optimal size of geographical forest patterns [87], ecological biodiversity [88,89] and LULC patterns [61,62]. The geographical variance model has also been employed to measure the scope and conceptual context of neighborhood [90][91][92] and landscape ecology [80]. Nevertheless, these three methods are rarely tested in the grid-based urbanization spatial pattern analysis.…”

Section: Spatial Variances Of the Multi-resolution Urbanization Velocmentioning

confidence: 99%

Is Spatial Resolution Critical in Urbanization Velocity Analysis? Investigations in the Pearl River Delta

et al. 2017

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Grid-based urbanization velocity analysis of remote sensing imagery is used to measure urban growth rates. However, it remains unclear how critical the spatial resolution of the imagery is to such grid-based approaches. This research therefore investigated how urbanization velocity estimates respond to different spatial resolutions, as determined by the grid sizes used. Landsat satellite images of the Pearl River Delta (PRD) in China from the years 2000, 2005, 2010 and 2015 were hierarchically aggregated using different grid sizes. Statistical analyses of urbanization velocity derived using different spatial resolutions (or grid sizes) were used to investigate the relationships between socio-economic indicators and the velocity of urbanization for 27 large cities in PRD. The results revealed that those cities with above-average urbanization velocities remain unaffected by the spatial resolution (or grid-size), and the relationships between urbanization velocities and socio-economic indicators are independent of spatial resolution (or grid sizes) used. Moreover, empirical variogram models, the local variance model, and the geographical variance model all indicated that coarse resolution version (480 m) of Landsat images based on aggregated pixel yielded more appropriate results than the original fine resolution version (30 m), when identifying the characteristics of spatial autocorrelation and spatial structure variability of urbanization patterns and processes. The results conclude that the most appropriate spatial resolution for investigations into urbanization velocities is not always the highest resolution. The resulting patterns of urbanization velocities at different spatial resolutions can be used as a basis for studying the spatial heterogeneity of other datasets with variable spatial resolutions, especially for evaluating the capability of a multi-resolution dataset in reflecting spatial structure and spatial autocorrelation features in an urban environment.

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The spatial dimensions of neighborhood effects

Cited by 134 publications

References 27 publications

Measuring the food environment using geographical information systems: a methodological review

Measuring the food environment using geographical information systems: a methodological review

Progress in Spatial Demography

Is Spatial Resolution Critical in Urbanization Velocity Analysis? Investigations in the Pearl River Delta

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