Design and Realization of Digital Urban Planning Spatial Database

2013 ◽  
Vol 756-759 ◽  
pp. 1824-1827 ◽  
Author(s):  
Ze Yun Yang ◽  
Jin Ling Yang ◽  
Xian Ge Cao ◽  
Xiu Hai Li ◽  
Xin Liang ◽  
...  
Keyword(s):  
Urban Planning ◽  
Spatial Data ◽  
Spatial Information ◽  
Data Extraction ◽  
Spatial Database ◽  
Spatial Query ◽  
Huge Amount ◽  
Gis Application ◽  
Attribute Data ◽  
Digital Urban Planning

Based on studying Digital Urban Planning spatial database, this subject uses spatial data engine ArcSDE as interface between GIS application server and database server, and takes the ArcSDE as the core to realize spatial query and spatial analysis of digital urban planning spatial information, and then unified managed the spatial data and attribute data of digital urban planning, finally to support efficient, the huge amount of data extraction.

An Optimal Framework for Spatial Query Optimization Using Hadoop in Big Data Analytics

2019 ◽  
Vol 12 ◽  
Author(s):  
Pankaj Dadheech ◽  
Dinesh Goyal ◽  
Sumit Srivastava ◽  
Ankit Kumar
Keyword(s):  
Big Data ◽  
Query Optimization ◽  
Spatial Data ◽  
Spatial Information ◽  
Big Data Analytics ◽  
Spatial Query ◽  
Data Process ◽  
Boolean Queries ◽  
Spatial Query Optimization ◽  
Hadoop System

Spatial queries frequently used in Hadoop for significant data process. However, vast and massive size of spatial information makes it difficult to process the spatial inquiries proficiently, so they utilized the Hadoop system for process Big Data. We have used Boolean Queries & Geometry Boolean Spatial Data for Query Optimization using Hadoop System. In this paper, we show a lightweight and adaptable spatial data index for big data which will process in Hadoop frameworks. Results demonstrate the proficiency and adequacy of our spatial ordering system for various spatial inquiries.

Structure and Design of Intelligent System for Police GIS Spatial Database

2013 ◽  
Vol 473 ◽  
pp. 148-152
Author(s):  
Zhi Wei Cao ◽  
Wen Ke Ding ◽  
Cai Li Fang
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Intelligent System ◽  
Spatial Database ◽  
Data Organization ◽  
Effective Solution ◽  
Organization And Management ◽  
Efficient Management ◽  
Spatial Data Organization ◽  
Structure And Design

According to the application of intelligent system for police GIS ,it needs to query and locateassist police,command and dispatch,patrol management and so on, According to the characteristics of police spatial information, All the spatial data needs to be unified storage. This paper designs the spatial database based on Geodatabase, then the database management for police is constructed and to achieve a unified and efficient management, so it provide an effective solution for the spatial data organization and management.

Implementation of Urban 3D Geographic Information System

2014 ◽  
Vol 926-930 ◽  
pp. 721-724
Author(s):  
Zhao Zhong Gao ◽  
Hai Xia Wei
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Urban Planning ◽  
Information Management ◽  
Spatial Data ◽  
Spatial Information ◽  
Three Dimensional ◽  
Geographic Information ◽  
Urban Construction ◽  
Depth Analysis

With the digital development of city construction, the construction of three-dimensional Geographic Information System plays an important role for the urban construction planning and decision-making. 3D urban planning geographic information management systems need to be able to put different spatial data, information of urban construction, urban planning information into the same platform. The integration of information resources whick provids a variety of spatial information based on the intelligent application services is the core. This article puts urban planning geographic information management related to business needs in-depth analysis, and put forward a three-dimensional geographic information model which is used for integrated management of data and can be dynamically adjusted for urban planning and management of business processes.

Neighborhood relation diagrams for local comparison of carbon footprints in urban planning

2012 ◽  
Vol 11 (2) ◽  
pp. 124-135 ◽  
Author(s):  
Daniel Engel ◽  
Sebastian Petsch ◽  
Hans Hagen ◽  
Subhrajit Guhathakurta
Keyword(s):  
Urban Planning ◽  
Carbon Footprint ◽  
Spatial Data ◽  
Spatial Information ◽  
Spatial Location ◽  
Carbon Footprints ◽  
Local Comparison ◽  
Neighborhood Relation ◽  
Constrained Deformation ◽  
New Research

The dreaded effects of climate change have led to a new research focus in many applications. In urban planning, the visualization of carbon footprints has become one of the most sought after aspects. Urban planning data of carbon footprints contains spatial (location) and abstract (statistical indicators) information. Although many techniques for the visualization of such partially spatial data have been successfully applied in the area of geovisualization, the core focus has been on a global depiction of non-spatial information. However, conducting local comparisons, as in the case of comparing neighborhood districts and households, is of particular importance in investigative tasks. Additionally, representing different carbon footprint indicators (multiple non-spatial parameters) and unstructured parameter values (resulting in scaling issues) in a static representation provides an interesting challenge for visualization. This paper describes a novel and generic solution to the above-mentioned issues: a neighborhood relation diagram for the local comparison of non-spatial information in partial spatial data. The technique is based on the geometric computation of Voronoi diagrams according to a weighted neighborhood metric. The shape of spatial regions (e.g. city districts) within this diagram is characterized by a directed and constrained deformation according to the non-spatial (i.e. carbon footprint) relations to neighboring regions. The effectiveness of our method is highlighted in a preliminary study of carbon footprint patterns in downtown Phoenix (Arizona, USA). In this study, neighborhood relation diagrams enable city planners to detect local effects on carbon emissions and their relation to planning projects.

scholarly journals Exhibiting of geospatial attribute data using popup template Java-script application programming interface

2020 ◽  
Vol 6 (12) ◽  
pp. 532
Author(s):  
Ballu Harish ◽  
R. S. Dwiwedi
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Application Programming Interface ◽  
Complex Data ◽  
Attribute Data ◽  
Work Area ◽  
Spatial Data Management ◽  
Arc Gis ◽  
Application Programming ◽  
Programming Interfaces

<p>Arc-GIS server is used in creating web, desktop, mobile applications. Arc-GIS for server provides end user applications and services for spatial data management, visualization and spatial analysis. The proposed work deals with exhibiting of geo-spatial attribute data using the facility of Java script application programme interfaces (API’s) from Arc-GIS server. Popup-layout API reference is utilized in the work and furthermore two of its properties are utilized relying upon the need of the work. All the programming interfaces have their advantages for encouraging clients work to connect with the geo-spatial information. Keen web maps make an extraordinary method of envisioning complex data. They assist with beating up apparently disconnected data, uncover concealed examples, mine enormous datasets. Information can be composed on the work area, sent to the cloud, and shared utilizing Arc-GIS server on the web.</p>

scholarly journals ADVANCED EXTRACTION OF SPATIAL INFORMATION FROM HIGH RESOLUTION SATELLITE DATA

2016 ◽  
Vol XLI-B3 ◽  
pp. 905-907
Author(s):  
T. Pour ◽  
J. Burian ◽  
J. Miřijovský
Keyword(s):  
High Resolution ◽  
Satellite Data ◽  
Spatial Data ◽  
Spatial Information ◽  
Data Extraction ◽  
Satellite Image ◽  
Second Step ◽  
European Cities ◽  
Large Size ◽  
Areas Of Interest

In this paper authors processed five satellite image of five different Middle-European cities taken by five different sensors. The aim of the paper was to find methods and approaches leading to evaluation and spatial data extraction from areas of interest. For this reason, data were firstly pre-processed using image fusion, mosaicking and segmentation processes. Results going into the next step were two polygon layers; first one representing single objects and the second one representing city blocks. In the second step, polygon layers were classified and exported into Esri shapefile format. Classification was partly hierarchical expert based and partly based on the tool SEaTH used for separability distinction and thresholding. Final results along with visual previews were attached to the original thesis. Results are evaluated visually and statistically in the last part of the paper. In the discussion author described difficulties of working with data of large size, taken by different sensors and different also thematically.

scholarly journals Integrated Processing of Spatial Information based on Multidimensional Data Models for General Planning Tasks

2021 ◽  
pp. 55-62
Author(s):  
Viktor Mihaylenko ◽  
Tetyana Honcharenko ◽  
Khrystyna Chupryna ◽  
Tamara Liazschenko
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Data Models ◽  
Information Modeling ◽  
Relational Model ◽  
Multidimensional Data ◽  
Attribute Data ◽  
Information Object ◽  
Multidimensional Information ◽  
Information Objects

The article presents the development of method of integrated spatial information processing based on multidimensional data models. Joint description of spatial data of different levels of detail (LOD) using a multidimensional model and attribute data using a relational model is difficult and requires the development of modified structures of multidimensional data models. The description of spatial and attribute data based on multidimensional information objects (MIO) is determined. It is proposed to use a new type of MIO - modified multidimensional information objects (MMIO). MIO and MMIO schemes allow describing multidimensional information objects and relationships in the form of a single multidimensional structure. On the basis of the introduced method of joint description of spatial and attributive data using extended multidimensional information objects, a multidimensional data model is built. This approach allows integrating different types of databases and contains a unified description of spatial and attribute data in the form of a multidimensional information object. The developed method is supposed to be used in BIM (Building Information Modeling) technology of computer modeling to solve general planning tasks.

scholarly journals SMARTPHONE-BASED VOLUNTEERED GEOGRAPHIC INFORMATION (VGI) FOR SLUM MAPPING IN POKHARA CITY OF NEPAL

2019 ◽  
Vol XLII-5/W3 ◽  
pp. 91-97
Author(s):  
K. Ranabhat ◽  
D. R. Paudyal
Keyword(s):  
Open Source Software ◽  
Spatial Data ◽  
Urban Areas ◽  
Spatial Information ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Attribute Data ◽  
Study Results ◽  
The World ◽  
Management Issues

Abstract. Informal settlements in urban areas are increasing rapidly throughout the world and regularisation of these settlements is being one of the challenging issues. Various study results have shown that conventional cadastral based information system approach and government managed institutional arrangements do not appropriately address land management issues of slum settlements. The aim of this study is to explore application of smartphone based Volunteered Geographic Information (VGI) and open spatial tools for slum mapping in developing countries such as in Nepal. A case of Pokhara Metropolitan city has been considered to explore the potential of utilization of smartphone based VGI and open spatial tools for slum mapping. Attribute and spatial data were collected using Smartphones and community-driven approach. Spatial and attribute data collected from 229 respondents of household’s surveys are integrated, analysed and interpreted and presented in this paper. Open Street Map (OSM) platforms and QGIS open source software have been used for slum mapping. These maps could play an important role in providing spatial information to the local government and planning authority in Nepal. This research paper concludes that smartphone based VGI and open portals such OSM have great potential to contribute to develop slum database and in providing information to plan various strategies, which aims at understanding, regularisation and upgrading slums.

Application of GIS Technique in Environmental Impact Assessment

2012 ◽  
Vol 610-613 ◽  
pp. 831-835
Author(s):  
Xu Li ◽  
Zhi Zhen Xu ◽  
Yong Tao Qiu ◽  
Jin Yan Qi ◽  
Shi Chuan Tang
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Spatial Data ◽  
Traffic Noise ◽  
Gis Application ◽  
Attribute Data ◽  
Gis Technique ◽  
And Function ◽  
Information Database

The characteristics and function of geographic information system (GIS) technique were summarized and the advantages of GIS application in environmental impact assessment (EIA) were introduced. GIS can provide good function of information technology for EIA, based on its strong ability on processing spatial data and attribute data. The applications of GIS in establishing environmental information database, selecting sites for projects, making environmental thematic map and combining with environmental model to predict environmental impact were introduced. The traffic noise prediction of Beijing Xiwai Street west extension project in EIA report was taken as an example to introduce GIS application in urban road EIA.

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