Wavelets, boundaries, and the spatial analysis of landscape pattern

Csillag, Ferenc; Kabos, Sándor

doi:10.1080/11956860.2002.11682704

Cited by 96 publications

(46 citation statements)

References 69 publications

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“…We investigate the interaction of spatial scales with reference to a case study area in this paper. Several technical approaches that inherently address issues of scale can be recognized, including multiscale GIS visualization and analysis (Wood 1999), fractal dimension (Wallace et al 2004), and wavelet analysis (Csillag and Kabos 2002), each of which will be discussed further in this paper.…”

Section: Introductionmentioning

confidence: 99%

Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope

Wilson¹,

O’Connell²,

Brown³

et al. 2007

Marine Geodesy

787

536

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Section: Introductionmentioning

confidence: 99%

Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope

Wilson¹,

O’Connell²,

Brown³

et al. 2007

Marine Geodesy

787

536

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“…Landscape metrics measured by remote sensing images [33] (a basic tool in landscape ecology to characterize the composition and configuration of land use [34,35]) could be a new way to measure the spatial pattern (i.e., composition and configuration) of impervious surfaces to better understand the variability in hydrological responses to urbanization [36] and analyze urban waterlogging risk spots [15]. Currently, it is still unknown whether the composition or the configuration plays a more significant role in influencing waterlogging.…”

Section: Introductionmentioning

confidence: 99%

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Zhang

Cheng

et al. 2018

Sustainability

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An impervious surface is considered one of main factors affecting urban waterlogging. Previous studies found that spatial pattern (composition and configuration) of impervious surfaces affected urban waterlogging. However, their relative importance remains unknown, and the scale-effect of the spatial pattern on urban waterlogging has been ignored. To move forward, our research studied the relationship between spatial patterns on the impervious surface and its subcategories (building and pavement) on urban waterlogging risk spots using Pearson correlation, partial redundancy analysis and performed at three grid scales (1 km × 1 km, 3 km × 3 km, 5 km × 5 km) and the catchment scale based on different spatial resolution land cover maps (2 m, 10 m and 30 m). We identified positively-correlated metrics with urban waterlogging risk spots, such as the composition of impervious surface (i.e., total impervious surface, building, pavement) and the aggregation metric of the total impervious surface at most scales, as well as two negatively correlated metrics (i.e., proximity metric of building, fragmentation metric of total impervious surface). Furthermore, the total variance of urban waterlogging risk spots explained by the spatial pattern of the total impervious surface and its subcategories increased with studied grid and catchment scales while decreasing from a fine to a coarse resolution. The relative contribution of the impervious surface composition and configuration to the variation of urban waterlogging risk spots varied across scales and among impervious surface types. The composition contributed more than the configuration did for the total impervious surface at both grid and catchment scales. Similar to total impervious surface, the composition of buildings was more important than its configuration was at all the grid scales, while the configuration of buildings was more important at the catchment scale. Contrary to the total impervious surface, the configuration of pavement at both the grid and catchment scales mattered more than their compositions did. Furthermore, the composition of the building was more important than that of pavement, but its configuration mattered less. Our study could provide a multi-scale landscape perspective with detailed suggestions for controlling the area of impervious surface and optimizing its spatial configuration in urban waterlogging risk mitigation and urban planning.

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“…Indeed, a border can begin at one geographic location as an ecotone, and then transform slowly along its length into an ecopause. Approaches to distinguish these different types of border have included fuzzy set theory (Leung 1987;Lark 1998) and wavelet analysis (Csillag and others 2001;Csillag and Kabos 2002), but no single method has been widely adopted.…”

Section: Characterizing Borders Between Ecoregionsmentioning

confidence: 99%

Potential of Multivariate Quantitative Methods for Delineation and Visualization of Ecoregions

Hargrove

Hoffman

2004

Environmental Management

251

195

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Wavelets, boundaries, and the spatial analysis of landscape pattern

Cited by 96 publications

References 69 publications

Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope

Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Potential of Multivariate Quantitative Methods for Delineation and Visualization of Ecoregions

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