Measuring the quality of life in city of Indianapolis by integration of remote sensing and census data

Li, G.; Weng, Qihao

doi:10.1080/01431160600735624

Cited by 169 publications

(123 citation statements)

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“…In contrast, in [23] classified range of factor loadings quite different from [3,22] whereby they classified the factor loadings as excellent, very good, good, fair and poor if the loadings are in the values of 0.71, 0.63, 0.55, 0.45 and 0.32 respectively. However, these loadings still in range with the study applied by [3,22].…”

Section: Introductionmentioning

confidence: 99%

“…For the selection of factor loadings, previous study done by [3,11,23,26] that loading factors with values greater than 0.75 are considered strong. These air pollutants , CO, PM 10 and SO 2 ) which has loading factors greater than 0.75 then as potential air pollutants contributor but coming from different kind of sources as they were divided into three factors (F1, F2, F3) after extracts the factors in the PCA.…”

Section: J Fundam Appl Sci 2017 9(2s) 335-351mentioning

confidence: 99%

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Selected Malaysia air quality pollutants assessment using chemometrics techniques

Rani¹,

Azid²,

Khalit³

et al. 2018

J. Fundam and Appl Sci.

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Air quality played an important role as polluted air quality could environment as well as property.chemometrics was performed with the objectives to ensure the air quality data analysis is Air quality played an important role as polluted air quality could harm human health, environment as well as property. Thus, a study of air quality pollutants assessment using chemometrics was performed with the objectives to ensure the air quality data analysis is le and interpreted well. Analysis of PCA, FA, KMO and Bartlett's test were done on five main air quality pollutants (O 3 , NO 2 , SO 2 , CO and PM 10 From the data analysis obtained, the concentrations of air quality pollutants all around Malaysia starting from 2008 to 2011 were acceptable and the most dominant major pollutants had been highlighted. KMO obtained in this study is 0.7760, which show that the results are factor well. While, Bartlett's test shows that the variables correlated to each other's.quality data were acceptable for factor analysis.

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Section: Introductionmentioning

confidence: 99%

Section: J Fundam Appl Sci 2017 9(2s) 335-351mentioning

confidence: 99%

Selected Malaysia air quality pollutants assessment using chemometrics techniques

Rani¹,

Azid²,

Khalit³

et al. 2018

J. Fundam and Appl Sci.

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“…Then, through the subjective and objective integrated weighting method based on PCA and planning review, we confirmed the weights of elements and factors. Finally, by combining the weights with the assessment results of single factors of the index system, we performed integration using the weighted summation method [35] and created a comprehensive discriminative model [30,36]. Afterward, the quality assessment outcomes of production-living-ecology spaces and national territory use were obtained.…”

Section: Data Sources and Pre-processingmentioning

confidence: 99%

A Quality Assessment of National Territory Use at the City Level: A Planning Review Perspective

Wang

Gong

et al. 2016

Sustainability

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With increasing urbanization, the populations in China's cities are growing, and the cities themselves are gradually expanding. Competition for access to the national territory's resources is also growing. Thus, the quality of national territory use is worsening. Quality assessments on national territory use can provide a basis for solving this issue. By combining the implications of new urbanization in China, we established an assessment index system relating to the quality of national territory use, from the perspective of harmoniously developing spaces for production, living and ecology. A subjective and objective integrated weighting method was developed based on principal component analysis and planning review. Then, a comprehensive discriminative model was established to assess the quality of national territory use. The evaluation results showed that harmonious development of spaces for production, living and ecology did not occur in either the ecology-oriented or production-oriented regions. The integrated quality of national territory use in the production-oriented region had a significant advantage over that of the ecology-oriented region. The integrated quality of national territory use was highest in Changzhou's city center and vicinity. The results can support the implementation of China's new urbanization strategy and provide evidence to improve the criteria for the intensive use of national territorial resources.

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“…Remotely sensed derived variables, GIS thematic layers, and census data are three essential data sources for urban analyses, and their integration is thus a central theme in urban analysis. Since census data collected within spatial units can be stored as GIS attributes, the combination of census and remote sensing data combined with a GIS can be envisaged in three main ways [62] that relate to urban analyses: (i) remote sensing imagery have been used in extracting and updating transportation networks [63][64][65][66] and buildings [67][68][69][70], providing land use/cover data and biophysical attributes [17,58,59,[71][72][73], and detecting urban expansion [61,74,75]; (ii) Census data have been used to improve image classification in urban areas [60,76,77]; (iii) The integration of remote sensing and census data has been applied to estimate population and residential density [78][79][80][81][82][83][84][85][86][87][88], to assess socioeconomic conditions [89,90], and to evaluate the quality of life [91][92][93][94]. We note that census data are available at a number of different scales, as determined by independent (not remote sensing-based) spatial areas, typically down to census block levels.…”

Section: Integrating Remote Sensing and Gis For Urban Analysismentioning

confidence: 99%

“…We note that census data are available at a number of different scales, as determined by independent (not remote sensing-based) spatial areas, typically down to census block levels. Through various downscaling techniques [78][79][80][81][82][83][84][85][86][87][88][89][90][91][92][93], this information is re-aggregated to the household or household-group levels. Figure 4 illustrates one example from Möller and Blaschke [95], who developed an indicator for the estimation of surrounding vegetation for each building as a measurement of urban life quality.…”

Section: Integrating Remote Sensing and Gis For Urban Analysismentioning

confidence: 99%

Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview

et al. 2011

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Cities are complex systems composed of numerous interacting components that evolve over multiple spatio-temporal scales. Consequently, no single data source is sufficient to satisfy the information needs required to map, monitor, model, and ultimately understand and manage our interaction within such urban systems. Remote sensing technology provides a key data source for mapping such environments, but is not sufficient for fully understanding them. In this article we provide a condensed urban perspective of critical geospatial technologies and techniques: (i) Remote Sensing; (ii) Geographic Information Systems; (iii) object-based image analysis; and (iv) sensor webs, and recommend a holistic integration of these technologies within the language of open geospatial consortium (OGC) standards in-order to more fully understand urban systems. We then discuss the potential of this integration and conclude that this extends the monitoring and mapping options beyond "hard infrastructure" by addressing "humans as sensors", mobility and human-environment interactions, and future improvements to quality of life and of social infrastructures.

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Measuring the quality of life in city of Indianapolis by integration of remote sensing and census data

Cited by 169 publications

References 50 publications

Selected Malaysia air quality pollutants assessment using chemometrics techniques

Selected Malaysia air quality pollutants assessment using chemometrics techniques

A Quality Assessment of National Territory Use at the City Level: A Planning Review Perspective

Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview

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