Concepts of Scale and Scaling

Wu, Jianguo; Li, Harbin

doi:10.1007/1-4020-4663-4_1

Cited by 107 publications

(87 citation statements)

References 44 publications

(50 reference statements)

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“…In this case, the livability-field is scale-dynamic and context-dependent. Wu and Li [49] proposed that the dimensions of the scale are time, space, and the organizational level. These three dimensions form a cube where a specific phenomenon or process is embedded.…”

Section: Expanding Geo-information Concepts To Quality Of Life: a Conmentioning

confidence: 99%

A Conceptual Urban Quality Space-Place Framework: Linking Geo-Information and Quality of Life

Cabrera-Barona

Merschdorf

2018

Urban Science

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Space and place are key concepts for understanding the functionality of social and environmental interactions. Cities are complex social-ecological systems where space-place interactions can be interpreted by means of quality of life. Firstly, we present several quality-of-life concepts that can be linked to space and place concepts. Secondly, we develop an analysis about space and place interactions, and how the social aspects, such as the sense of place, and physical aspects, such as urban spaces, are associated with quality of life and inclusive places. Thirdly, we state how the quality of life definitions of livability and life-ability are linked to the space and place concepts, and how this link can support the understanding of quality of life in cities, considering spatial thinking. Fourthly, we expand geo-information theories to a space-place approach of urban quality of life. Finally, we discuss how the developed conceptual framework can be applied to interpret the smart city. This paper contributes to the construction of new epistemologies that could support a more holistic understanding of the cities and a more social and humanistic use of geo-information and technology.

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Section: Expanding Geo-information Concepts To Quality Of Life: a Conmentioning

confidence: 99%

A Conceptual Urban Quality Space-Place Framework: Linking Geo-Information and Quality of Life

Cabrera-Barona

Merschdorf

2018

Urban Science

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“…Few studies have emphasized the differences in forest C storage at different statistical scales, despite the fact that scale selection is of great importance (Levin, 1992;Luo et al, 2001) and different scales can yield different results (Bakken et al, 2014;Jelinski and Wu, 1996;Wu et al, 2000;Wu and Li, 2006). Miao et al (2010) demonstrated that the influences of climate factors on forest C storage varied with statistical scale (region, province, and prefecture-level city).…”

Section: Introductionmentioning

confidence: 99%

Forest carbon storage along the north-south transect of eastern China: Spatial patterns, allocation, and influencing factors

Wen

2016

Ecological Indicators

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a b s t r a c tForests play an important role in sequestrating atmospheric CO 2 ; therefore, understanding the spatial variations and controlling mechanisms of forest carbon (C) storage is important. In this study, we collected data on forest C storage along a north-south transect of eastern China from literature published between 2004 and 2014. The collected data, which were from over 2000 plots, allowed us to explore the latitudinal patterns in forest C storage. The results showed that vegetation C storage decreased with increasing latitude, while soil C storage increased. This spatial pattern of vegetation C storage was more apparent for mature forests (forest age > 80 years). Furthermore, latitudinal patterns in forest C storage, both in vegetation and in soil, became stronger with increasing statistical scale, increasing from plot scale to latitudinal scale (2-5• ). However, total forest C storage (vegetation + soil) had no apparent latitudinal pattern. Interestingly, the allocation ratios of forest C storage between vegetation and soil had a negative logarithmic relationship with latitude. These results suggest that in eastern China, climatic factors control latitudinal patterns in the forest C storage of vegetation and soil, albeit in different ways (positive for vegetation and negative for soil), and also control the allocation ratios of forest C storage between vegetation and soil. Furthermore, the latitudinal patterns of forest C storage were opposite for vegetation and soil, resulting from the different climatic controlling mechanism.

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“…It is a consensus among ecologists that the overwhelming majority of data on biodiversity exhibit strong spatial patterns, which are often driven by biological processes spatially structured (Rangel et al 2006;Carl & Kuhn 2007). The increasingly recognition that ecological systems present complex, hierarchical and multiscale nature (Levin 1998;Wu & Li 2006;Olden et al 2006) highlights the need to build more robust, multiscale and flexible models to assist the discussion of issues related to biodiversity conservation and management. In fact, international community and its institutions have increasingly invested in the collection of geospatial data required for ecological and environmental analysis to satisfy international obligations (Skidmore et al 2011).…”

Section: Biodiversity Conservation and Geospatial Analysismentioning

confidence: 99%

GIS and Spatial Analysis Meet Conservation: a Promising Synergy to Address Biodiversity Issues

Lorini¹,

Paese²,

Uezu³

2011

Nat. Conserv.

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Concepts of Scale and Scaling

Cited by 107 publications

References 44 publications

A Conceptual Urban Quality Space-Place Framework: Linking Geo-Information and Quality of Life

A Conceptual Urban Quality Space-Place Framework: Linking Geo-Information and Quality of Life

Forest carbon storage along the north-south transect of eastern China: Spatial patterns, allocation, and influencing factors

GIS and Spatial Analysis Meet Conservation: a Promising Synergy to Address Biodiversity Issues

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