scholarly journals Design of a Spatial Data Model for the Sustainability of Population Sheltering Processes in the Czech Republic

2021 ◽  
Vol 13 (24) ◽  
pp. 13503
Author(s):  
Jakub Rak ◽  
Pavel Tomášek ◽  
Petr Svoboda

This article is focused on the creation of a data model of an information system to support the processes of population sheltering (PoS). PoS processes have undergone significant changes in the Czech Republic. The PoS system was transformed for the use of improvised shelters. For sustainable PoS, it is necessary to standardize the approach of crisis management staff. Key research hypotheses: the data model must respect the methodological framework of planning and implementation of the PoS, especially when used for the design and implementation of the improvised shelters; the standardization of residential buildings can be used to facilitate and streamline the sustainable process of planning of the PoS; the unified data model of the PoS can be considered suitable for standardization and development in the field of sustainable planning and implementation of the PoS. Softwares such as SW QGIS desktop 2.6.0, OpenStreetMap (OSM) spatial database, ESRI shapefile format, and S-JTSK/Krovak East North 5514 coordinate system were used for the verification of the spatial data model, and ASP.NET MVC 4.7.2 Microsoft SQL Server Express 2019, jQuery 3.3.1, Bootstrap 3.4.1, Kendo UI 2019.1.220, and virtual Windows Server 2016 were used for the implementation of the physical data model. The physical data model substantiates the benefits.

2013 ◽  
Vol 32 (2) ◽  
pp. 581-584
Author(s):  
Shu-min XIONG ◽  
Li-guan WANG ◽  
Zhong-qiang CHEN ◽  
Jian-hong CHEN

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Song Tian ◽  
Ximin Cui ◽  
Yu Gong

As a space-filling method, Voronoi Treemaps are used for showcasing hierarchies. Previously presented algorithms are limited to visualize nonspatial data. The approach of spatial Voronoi Treemaps is proposed in this paper to eliminate these problems by enabling the subdivisions for points, lines, and polygons with spatial coordinates and references. The digital distance transformation is recursively used to generate nested raster Voronoi polygons while the raster to vector conversion is used to create a vector-based Treemap visualization in a GIS (geographic information system) environment. The objective is to establish a spatial data model to better visualize and understand the hierarchies in the geographic field.


2012 ◽  
Vol 204-208 ◽  
pp. 4872-4877
Author(s):  
Da Xi Ma ◽  
Xiao Hong Liu ◽  
Li Wei Ma

By analyzing the attributes of three-dimensional space data model, the integrated 3D spatial data adopts object-oriented method for digital landslide modeling. It achieves spatial data modeling for landslide geological entity. An experimental case is given to indicate the feasibility of this approach for spatial data modeling.


2021 ◽  
Vol 14 (1) ◽  
pp. 37-54
Author(s):  
Song Tian

In geographical field, the researches on spatial hierarchies are extensive, but there is a lack of effective method to generate and express hierarchical spatial structures. As a frequently-used visualising method, Voronoi Treemaps are able to represent hierarchical data, but limited to displaying non-spatial data. The approach of geographical Voronoi Treemaps is proposed to solve these problems by allowing for spatial division from point features with spatial coordinates and references. Additionally, this enables to create hierarchical layouts in the form of Voronoi Treemap in GIS environments with the ArcGIS Engine. The generated layouts are saved in a geodatabase, which is convenient for adding GIS enhancements such as colouring, edge sizes, legends, borders, scales, and compass. The approach aims to establish a kind of spatial data model to represent urban hierarchies, organisation structures and region differences and so on, which expands the application range of Voronoi Treemaps in the geographical field.


2019 ◽  
Vol 8 (9) ◽  
pp. 408
Author(s):  
Song ◽  
Niu ◽  
Li

Building fire is a complex geographic process related to the indoor spatial environment, a smart spatial data model can accurately describe the spatial-temporal information of a building fire scene, which is important for modeling a fire process. With the development of fire dynamics and computer science, many building fire models have been proposed and widely used. However, the spatial representation of these models is relatively weak. In this study, a fire process modeled via the Fire Dynamics Simulator (FDS) and the requirements of a spatial data model are initially analyzed. Then, a new spatial data model named the Combinatorial Spatial Data Model (CSDM) is combined with Geographic Information System (GIS). The key features of the CSDM, which include spatial, semantic, topological, event and state representations of a building fire scene modeled via the CSDM are subsequently presented. In addition, the Unified Modeling Language (UML) class diagram of the CSDM is also presented, and then experiments with a simplified building are conducted as a CSDM implementation case. A method of transferring data from the CSDM to FDS and a building fire analysis approach using the CSDM are subsequently proposed.


2020 ◽  
Vol 22 (4) ◽  
pp. 447-468
Author(s):  
Zhangcai Yin ◽  
Zhanghaonan Jin ◽  
Shen Ying ◽  
Sanjuan Li ◽  
Qingquan Liu

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