The Use of Scale-Free Networks Theory in Modeling Landscape Aesthetic Value Networks in Urban Areas

Kowalczyk, Anna

doi:10.15292/geodetski-vestnik.2015.01.135-152

Cited by 9 publications

(9 citation statements)

References 13 publications

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“…Teorija omrežij, razpoznavanje kompleksnih vzorcev, analiza površine terena, modeliranje Introduction Network theory and graph theory are very useful in Geography. Landscape network models can be a useful tool (procedure) in landscape aesthetic value management and spatial planning processes [1]. Visibility calculations [2] are central to any computer graphics and geoinformation system (GIS) application.…”

Section: Ključne Besedementioning

confidence: 99%

New Method of Visibility Network and Statistical Pattern Network Recognition Usage in Terrain Surfaces

Babič

Huber

Bielecka

et al. 2019

Materials and Geoenvironment

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Many problems in the analysis of natural terrain surface shapes and the construction of terrain maps to model them remain unsolved. Almost the whole process of thematic interpretation of aerospace information consists of a step-by-step grouping and further data conversion for the purpose of creating a completely definite, problematically oriented picture of the earth's surface. In this article, we present application of a new method of drawing 3D visibility networks for pattern recognition and its application on terrain surfaces. For the determination of complexity of 3D surface terrain, we use fractal geometry method. We use algorithm for constructing the visibility network to analyse the topological property of networks used in complex terrain surfaces. Terrain models give a fast overview of a landscape and are often fascinating and overwhelmingly beautiful works by artists who invest all their interest and an immense amount of work and know-how, combined with a developed sense of the portrayed landscape, in creating them. At the end, we present modelling of terrain surfaces with topological properties of the visibility network in 3D space.

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Section: Ključne Besedementioning

confidence: 99%

New Method of Visibility Network and Statistical Pattern Network Recognition Usage in Terrain Surfaces

Babič

Huber

Bielecka

et al. 2019

Materials and Geoenvironment

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“…Such a connection is characterized by a direction and "works" in only one way. Such a model has been developed and used for managing landscape potential in urban areas as an important element of sustainable development (Kowalczyk 2014(Kowalczyk , 2015. Similar modelling has been used in the process of creating and analyzing from vertical crustal movements, as well as creating a model of a Triangulated Irregular Network on the basis of geospatial data (Kowalczyk, A., Kowalczyk, K., 2014a, 2014bKowalczyk et al 2011).…”

Section: Network Models Describing Spacementioning

confidence: 99%

The Analysis of Networks Space Structures as Important Elements of Sustainable Space Development

Kowalczyk

2017

Proccedings of 10th International Conference "Environmental Engineering"

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Abstract. Space as the entirety of elements occurring within it and their configuration, is subject to analysis for purposes of optimizing activities connected with it, or generally speaking, optimal spatial management including predicting its future states and preventing spatial conflicts. Geospatial analysis is a complex process, the essential components of which are the collection, modelling and analysis of spatial data. Drawing proper conclusions is largely dependent on the type of spatial model developed. The author carries out the characterization of selected types of network models for purposes of spatial analysis in the sustainable development of space, providing examples of modelling various elements of space on the form of a network. She also touches on the aspect of hierarchy and scale-freeness in these models, as well as the possibility of predicting future states of space, and also using the properties of network models in decision processes to achieve sustainable development.

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“…These connections may be physical in nature, or they may indicate specific dependencies between the nodes (Kowalczyk A.M., 2015). Until the 1990s, networks were described as complex structures, which were spontaneously created without the explicit organization, they were called random networks (Erdös and Rényi, 1960).…”

Section: Network Analysismentioning

confidence: 99%

Identification of pseudo-nodal points on the basis precise leveling campaigns data and GNSS

Bednarczyk¹

2017

Acta Geodynamica Et Geomaterialia

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Four precise leveling campaigns has been carried out in Poland, and for several years there is a functioning system of permanent GNSS stations determining the height of network points. On the basis of these data, several variants of vertical crustal movements models have been developed (Wyrzykowski, 1987;Kowalczyk, 2005;Kontny and Bogusz, 2012). In order to develop a kinematic model of vertical crustal movements, one of the possibilities is an adjustment of the network formed simultaneously with the leveling data and GNSS stations data. The main problem is a need to identify fiducial points between the datasets. This problem can be solved by creation of coherent database containing attributes of both types of data and automatization of the joint point identification process. The article shows the results of such identification process, depending on the amount of data, on the example of the area of Poland. ARTICLE INFO

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The Use of Scale-Free Networks Theory in Modeling Landscape Aesthetic Value Networks in Urban Areas

Cited by 9 publications

References 13 publications

New Method of Visibility Network and Statistical Pattern Network Recognition Usage in Terrain Surfaces

New Method of Visibility Network and Statistical Pattern Network Recognition Usage in Terrain Surfaces

The Analysis of Networks Space Structures as Important Elements of Sustainable Space Development

Identification of pseudo-nodal points on the basis precise leveling campaigns data and GNSS

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