scholarly journals General Spatial Pattern and Meta-Pattern Model for Problems That Need Analytical Approach in Complex Spatial Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 302
Author(s):  
Indraja E. Germanaite ◽  
Kestutis Zaleckis ◽  
Rimantas Butleris ◽  
Audrius Lopata

Spatial Pattern (SP) Description, Identification, and Application Methodology (SPDIAM) was developed for describing and detecting spatial economic, social, and environmental phenomena and providing basic information technology (IT) artefacts that can be used for the spatial analysis development using GIS technologies. SPDIAM allows urban planning and design practitioners to describe SP in a computerized manner, identify SP automatically, and apply them in the spatial planning and design domain. In this article, we explain the general SP and spatial meta-pattern model, used in SPDIAM, that is based on the theory of Complex Spatial System (CSS), spatial configuration, and spatial capital concepts and is presented using UML diagrams as standard used for visualization of project models from structure and behavior points of views. The practical experiment of describing and identifying 6 basic spatial meta-pattern values is conducted using the new algorithm that combines Space Syntax method, Visibility Graph Analysis (VGA), and VGA measures to create a computer model of space and to quantify its configuration, which can then be used to handle geographic and geometric data associated with attribute information, to perform spatial, mathematical, and statistical calculations and to visualize SP. The results of the experiment show that the model and the algorithm are appropriate for spatial meta-patterns identification, and the best results can be achieved using VGA measure Isovist Compactness. In the future, general SP and the spatial meta-pattern model can be used to describe and identify complex SP and to solve problems in CSS with the help of the spatial meta-pattern values described in this article.

2017 ◽  
Vol 46 (5) ◽  
pp. 948-962 ◽  
Author(s):  
Yi Lu ◽  
Zhonghua Gou ◽  
Yu Ye ◽  
Qiang Sheng

Graph-based visibility analysis, developed from space syntax and social network theory, embraces mutual visibility between locations in a spatial system. It helps designers and researchers to decode spatial cognition and behavior, but methodological constraints limit its application to two-dimensional floor plans. In this study, we propose a new visibility graph analysis that can be used in three-dimensional built environments, such as multilevel atrium buildings or urban environments with canopies or overpass bridges. Furthermore, we draw a distinction between a generic visibility graph and a targeted visibility graph. In the former, an occupiable location is considered as both the origin and target of visibility lines. In the latter, we further take into account the visible space or specific targets in a system. Visible locations are spaces people can see but cannot necessarily physically occupy. With this differentiation, the visibility graph system is more amenable to new applications in three-dimensional architectural and urban design while retaining a mapping back to the original two-dimensional visibility graph method through the generic visibility graph. Four examples illustrate the application of the proposed visibility graph analysis in complex three-dimensional building and urban environments.


space&FORM ◽  
2020 ◽  
Vol 2020 (44) ◽  
pp. 261-274
Author(s):  
Bartłomiej Sroka ◽  

Natural hazards’ information is an obligatory element of planning acts in Poland, such as areas exposed to mass movements and flood occurrence. The paper presents provisions and manners applied in urban planning and design practise in Lesser Poland (Małopolska), region with vast share of landslides in Poland. Discussion leads to evaluation of risk management legal factors in design process, urban planning and accomplishment of building permission.


2021 ◽  
Vol 232 (3) ◽  
Author(s):  
Kamila Jessie Sammarro Silva ◽  
Larissa Lopes Lima ◽  
Gustavo Santos Nunes ◽  
Lyda Patricia Sabogal-Paz

Buildings ◽  
2016 ◽  
Vol 6 (4) ◽  
pp. 48 ◽  
Author(s):  
Peter Wootton-Beard ◽  
Yangang Xing ◽  
Raghavalu Durai Prabhakaran ◽  
Paul Robson ◽  
Maurice Bosch ◽  
...  

2012 ◽  
Vol 167 ◽  
pp. 184-185 ◽  
Author(s):  
Lin Lin ◽  
Min Liu ◽  
Feixiong Luo ◽  
Kai Wang ◽  
Qiuzhuo Zhang ◽  
...  

Author(s):  
J.H.M. Tah ◽  
A.H. Oti ◽  
F.H. Abanda

AbstractElements that constitute the built environment are vast and so are the independent systems developed to model its various aspects. Many of these systems have been developed under various assumptions and approaches to execute functions that are distinct, complementary or sometimes similar. Furthermore, these systems are ever increasing in number and often assume similar nomenclatures and acronyms, thereby exacerbating the challenges of understanding their peculiar functions, definitions and differences. The current societal demand to improve sustainability performance through collaboration as well as whole-system and through-life thinking is driving the need to integrate independent systems associated with different aspects and scales of the built environment to deliver smart solutions and services that improve the well-being of citizens. The contemporary object-oriented digitization of real-world elements appears to provide a leeway for amalgamating the modelling systems of various domains in the built environment which we termed as built environment information modelling (BeIM). These domains include architecture, engineering, construction as well as urban planning and design. Applications such as building information modelling, geographic information systems and 3D city modelling systems are now being integrated for city modelling purposes. The various works directed at integrating these systems are examined, revealing that current research efforts on integration fall into three categories: (1) data/file conversion systems, (2) semantic mapping systems and (3) the hybrid of both. The review outcome suggests that good knowledge of these domains and how their respective systems operate is vital to pursuing holistic systems integration in the built environment.


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