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Correia, Francisco Nunes; Saraiva, Maria da Graça; Silva, Fernando Nunes da; Ramos, Isabel Loupa

doi:10.1023/a:1008097403587

Cited by 35 publications

(9 citation statements)

References 4 publications

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“…Cases of fractal theory in urban research include urban boundary and urban land use [17], urban form entropy and urban fractal dimension [18], timeliness of urban fractal [19], and urban simulation [20]. Research on urban fractal mainly focuses on twodimensional fractal of the urban plane form [18][19][20], and a few scholars conduct threedimensional fractal research on an urban spatial form based on the volume of buildings [30,31]. The focus of the relevant study is a specific expression of urban forms which are lacking in the analysis of the agglomeration mode and distribution rules of urban forms.…”

Section: Combination Of Fractal Theory and Spatial Auto-correlationmentioning

confidence: 99%

“…Fractal theory can condense the numerous and complex geospatial data of cities into a concise digital expression, thus revealing the hidden space-time information behind urban evolution [18]. With the development of urban geography, the combination of GIS technology and fractal theory has become an important method to study urban spatial morphology [19][20][21][22][23]. The research of fractal theory in urban spatial form involves urban road networks, land use, building layout, etc.…”

Section: Introductionmentioning

confidence: 99%

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Research on Gridding of Urban Spatial Form Based on Fractal Theory

Fan

Mei

Zhang

et al. 2022

IJGI

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Urban spatial form is a significant reference to getting to know cities and running the cities. The fractal theory is an effective means to quantify urban spatial form. Taking the buildings in the outer ring of Zhengzhou City as the research object, the basic architectural models are built by extracting their forms. The research site is subdivided into 199 regions. The distribution of architectural forms in Zhengzhou is analyzed by fractal theory and spatial autocorrelation from the perspective of two-dimensional(2D) and three-dimensional(3D). The results indicate that the architectural layout of Zhengzhou has distinct fractal characteristics; Both global spatial autocorrelation and local spatial autocorrelation show significant positive correlations; There are obvious spatial differences in architectural space forms in different regions. The refined grid analysis strengthens the understanding of the urban spatial structure and development rules in more detail. The study promotes the refinement and visualization of fractal theory effectively and improves the depth of urban spatial form cognition.

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Section: Combination Of Fractal Theory and Spatial Auto-correlationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Gridding of Urban Spatial Form Based on Fractal Theory

Fan

Mei

Zhang

et al. 2022

IJGI

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“…The flood-hazard assessment map provides valuable information for land-use planning at a regional scale, leading to the determination of safe and unsafe areas for urban development [72,73]. Even though hazard maps represent a snapshot situation regarding flood-hazard level variation within the catchment, they could still support policy makers with knowledge for future planning.…”

Section: Hbasicmentioning

confidence: 99%

Integration of GIS-Based Multicriteria Decision Analysis and Analytic Hierarchy Process for Flood-Hazard Assessment in the Megalo Rema River Catchment (East Attica, Greece)

et al. 2021

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This study deals with the flood-hazard assessment and mapping in the catchment of Megalo Rema (East Attica, Greece). Flood-hazard zones were identified utilizing Multi-Criteria Decision Analysis (MCDA) integrated with Geographic Information System (GIS). Five factors were considered as the most influential parameters for the water course when high storm-water runoff exceeds drainage system capacity and were taken into account. These factors include slope, elevation, distance from stream channels, geological formations in terms of their hydro-lithological behavior and land cover. To obtain the final weights for each factor, rules of the Analytic Hierarchy Process (AHP) were applied. The final flood-hazard assessment and mapping of the study area were produced through Weighted Linear Combination (WLC) procedures. The final map showed that approximately 26.3 km2, which corresponds to 22.7% of the total area of the catchment, belongs to the high flood risk zone, while approximately 25 km2, corresponding to ~15% of the catchment, is of very high flood risk. The highly and very highly prone to flooding areas are located mostly at the southern and western parts of the catchment. Furthermore, the areas on both sides of the channel along the lower reaches of the main stream are of high and very high risk. The highly and very highly prone to flooding areas are relatively low-lying, gently sloping and extensively urbanized, and host the densely populated settlements of Rafina-Pikermi, Penteli, Pallini, Peania, Spata, Glika Nera, Gerakas and Anthousa. The accuracy of the flood-hazard map was verified by correlating flood events of the last 30 years, the Hydrologic Engineering Center’s River Analysis System (HEC–RAS) simulation and quantitative geomorphological analysis with the flood-hazard level. The results of our approach provide decision makers with important information for land-use planning at a regional scale, determining safe and unsafe areas for urban development.

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“…In Figure 2, it can be seen that, in addition to remote sensing and flash floods, the size of GIS, model, rainfall, risk, and other words is larger. The GIS is a method discovered by Correia et al [61] that can be used to integrate and investigate information about flood disasters and is widely used to reproduce the research results of different cases. This is not surprising.…”

Section: Keyword Co-occurrencementioning

confidence: 99%

A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods

Ding

et al. 2021

Remote Sensing

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Flash floods are among the most dangerous natural disasters. As climate change and urbanization advance, an increasing number of people are at risk of flash floods. The application of remote sensing and geographic information system (GIS) technologies in the study of flash floods has increased significantly over the last 20 years. In this paper, more than 200 articles published in the last 20 years are summarized and analyzed. First, a visualization analysis of the literature is performed, including a keyword co-occurrence analysis, time zone chart analysis, keyword burst analysis, and literature co-citation analysis. Then, the application of remote sensing and GIS technologies to flash flood disasters is analyzed in terms of aspects such as flash flood forecasting, flash flood disaster impact assessments, flash flood susceptibility analyses, flash flood risk assessments, and the identification of flash flood disaster risk areas. Finally, the current research status is summarized, and the orientation of future research is also discussed.

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Cited by 35 publications

References 4 publications

Research on Gridding of Urban Spatial Form Based on Fractal Theory

Research on Gridding of Urban Spatial Form Based on Fractal Theory

Integration of GIS-Based Multicriteria Decision Analysis and Analytic Hierarchy Process for Flood-Hazard Assessment in the Megalo Rema River Catchment (East Attica, Greece)

A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods

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