scholarly journals FEASIBILITY OF INTEGRATED TRANSPORT NETWORK MODEL IN LITHUANIA

Transport ◽  
2014 ◽  
Vol 29 (4) ◽  
pp. 346-354 ◽  
Author(s):  
Lina Papšienė ◽  
Andrius Balčiūnas ◽  
Giedrė Beconytė ◽  
Danas Motiejauskas ◽  
Denis Romanovas ◽  
...  
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Emergency Services ◽  
Spatial Information ◽  
Cost Benefit ◽  
Transport Network ◽  
Guidance Document ◽  
Transport Networks ◽  
Data Set ◽  
Integrated Transport Network

Availability of up-to-date and detailed spatial data on transport networks is very important for sustainable development. As Directive 2007/2/EC of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE) targets transport networks data as one of the first priority data themes to be harmonized across Europe, the specification for transport network dataset has been developed and adopted as guidance document for all Member States. The specification provides a common model for road, rail, air, water and cable transport networks and related infrastructure. Integrated transport network database can be used for routing of vehicles, taking into account all limitations of the road network, for transport planning, emergency services. In order to achieve the benefits related to common use of up-to-date information and to interoperable data for these tasks, all transport network elements must be accurately mapped in a consistent logical network. Unfortunately, in Lithuania there is no single continuous and extensive spatial data set (geographic database) of transport networks. The authors analysed the possibilities of building joint INSPIRE databases from different transport datasets, and indicated the best data sources for road and railway transport, as well as actions of improvement have to be taken. The research and successful experiment has showed that the more extensive INSPIRE transport data model can be implemented using ArcGIS data model. This concept and the model will serve as an important prop for development of policy of national and transboundary spatial data integration in countries with similar situation. INSPIRE implementation guidelines are compatible with national interest and must be followed, but technical feasibility and cost-benefit considerations must be taken into account.

scholarly journals Towards an Underground Utilities 3D Data Model for Land Administration

2019 ◽  
Vol 11 (17) ◽  
pp. 1957 ◽  
Author(s):  
Jingya Yan ◽  
Siow Jaw ◽  
Kean Soon ◽  
Andreas Wieser ◽  
Gerhard Schrotter
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Urban Areas ◽  
Spatial Information ◽  
Three Dimensional ◽  
Data Governance ◽  
Land Administration ◽  
3D Data ◽  
Underground Utilities ◽  
2D Data

With the pressure of the increasing density of urban areas, some public infrastructures are moving to the underground to free up space above, such as utility lines, rail lines and roads. In the big data era, the three-dimensional (3D) data can be beneficial to understand the complex urban area. Comparing to spatial data and information of the above ground, we lack the precise and detailed information about underground infrastructures, such as the spatial information of underground infrastructure, the ownership of underground objects and the interdependence of infrastructures in the above and below ground. How can we map reliable 3D underground utility networks and use them in the land administration? First, to explain the importance of this work and find a possible solution, this paper observes the current issues of the existing underground utility database in Singapore. A framework for utility data governance is proposed to manage the work process from the underground utility data capture to data usage. This is the backbone to support the coordination of different roles in the utility data governance and usage. Then, an initial design of the 3D underground utility data model is introduced to describe the 3D geometric and spatial information about underground utility data and connect it to the cadastral parcel for land administration. In the case study, the newly collected data from mobile Ground Penetrating Radar is integrated with the existing utility data for 3D modelling. It is expected to explore the integration of new collected 3D data, the existing 2D data and cadastral information for land administration of underground utilities.

scholarly journals Boltzmann Entropy for the Spatial Information of Raster Data

2019 ◽  
Vol 1 ◽  
pp. 1-1 ◽  
Author(s):  
Peichao Gao ◽  
Hong Zhang ◽  
Zhilin Li
Keyword(s):  
Boltzmann Equation ◽  
Information Content ◽  
Shannon Entropy ◽  
Spatial Data ◽  
Spatial Information ◽  
Statistical Information ◽  
Boltzmann Entropy ◽  
Raster Data ◽  
Data Set ◽  
The Boltzmann Equation

<p><strong>Abstract.</strong> Entropy is an important concept that originated in thermodynamics. It is the subject of the famous Second Law of Thermodynamics, which states that “the entropy of a closed system increases continuously and irrevocably toward a maximum” (Huettner 1976, 102) or “the disorder in the universe always increases” (Framer and Cook 2013, 21). Accordingly, it has been widely regarded as an ideal measure of disorder. Its computation can be theoretically performed according to the Boltzmann equation, which was proposed by the Austrian physicist Ludwig Boltzmann in 1872. In practice, however, the Boltzmann equation involves two problems that are difficult to solve, that is the definition of the macrostate of a system and the determination of the number of possible microstates in the microstate. As noted by the American sociologist Kenneth Bailey, “when the notion of entropy is extended beyond physics, researchers may not be certain how to specify and measure the macrostate/microstate relations” (Bailey 2009, 151). As a result, this entropy (also referred to as Boltzmann entropy and thermodynamic entropy) has remained largely at a conceptual level.</p><p> In practice, the widely used entropy is actually proposed by the American mathematician, electrical engineer, and cryptographer Claude Elwood Shannon in 1948, hence the term Shannon entropy. Shannon entropy was proposed to quantify the statistical disorder of telegraph messages in the area of communications. The quantification result was interpreted as the information content of a telegraph message, hence also the term information entropy. This entropy has served as the cornerstone of information theory and was introduced to various fields including chemistry, biology, and geography. It has been widely utilized to quantify the information content of geographic data (or spatial data) in either a vector format (i.e., vector data) or a raster format (i.e., raster data). However, only the statistical information of spatial data can be quantified by using Shannon entropy. The spatial information is ignored by Shannon entropy; for example, a grey image and its corresponding error image share the same Shannon entropy.</p><p> Therefore, considerable efforts have been made to improve the suitability of Shannon entropy for spatial data, and a number of improved Shannon entropies have been put forward. Rather than further improving Shannon entropy, this study introduces a novel strategy, namely shifting back from Shannon entropy to Boltzmann entropy. There are two advantages of employing Boltzmann entropy. First, as previously mentioned, Boltzmann entropy is the ideal, standard measure of disorder or information. It is theoretically capable of quantifying not only the statistical information but also the spatial information of a data set. Second, Boltzmann entropy can serve as the bridge between spatial patterns and thermodynamic interpretations. In this sense, the Boltzmann entropy of spatial data may have wider applications. In this study, Boltzmann entropy is employed to quantify the spatial information of raster data, such as images, raster maps, digital elevation models, landscape mosaics, and landscape gradients. To this end, the macrostate of raster data is defined, and the number of all possible microstates in the macrostate is determined. To demonstrate the usefulness of Boltzmann entropy, it is applied to satellite remote sensing image processing, and a comparison is made between its performance and that of Shannon entropy.</p>

Integrity Constraints in Spatial Databases

2002 ◽  
pp. 144-171 ◽  
Author(s):  
Karla A.V. Borges ◽  
Clodoveu A. Davis Jr. ◽  
Alberto H.F. Laender
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Spatial Databases ◽  
Spatial Information ◽  
Spatial Relationship ◽  
Object Oriented ◽  
Database Management System ◽  
Geometric Constraints ◽  
Integrity Constraints ◽  
Spatial Relationships

This chapter addresses the relationship that exists between the nature of spatial information, spatial relationships, and spatial integrity constraints, and proposes the use of OMT-G (Borges et al., 1999; Borges et al., 2001), an object-oriented data model for geographic applications, at an early stage in the specification of integrity constraints in spatial databases. OMT-G provides appropriate primitives for representing spatial data, supports spatial relationships and allows the specification of spatial integrity rules (topological, semantic and user integrity rules) through its spatial primitives and spatial relationship constructs. Being an object-oriented data model, it also allows some spatial constraints to be encapsulated as methods associated to specific georeferenced classes. Once constraints are explicitly documented in the conceptual modeling phase, and methods to enforce the spatial integrity constraints are defined, the spatial database management system and the application must implement such constraints. This chapter does not cover integrity constraints associated to the representation of simple objects, such as constraints implicit to the geometric description of a polygon. Geometric constraints are related to the implementation, and are covered here in a higher level view, considering only the shape of geographic objects. Consistency rules associated with the representation of spatial objects are discussed in Laurini and Thompson (1992).

scholarly journals Data Model and Application of Pipeline Integrity Management

2021 ◽  
Vol 329 ◽  
pp. 01036
Author(s):  
Bingtao Dai
Keyword(s):  
Data Model ◽  
Oil And Gas ◽  
Spatial Information ◽  
Social Economy ◽  
Gas Pipeline ◽  
Data Set ◽  
Development Status ◽  
Integrity Management ◽  
Using Data ◽  
Stable Development

Data is an important foundation and premise to ensure pipeline integrity management. Using data model to manage and utilize data is the key to implement pipeline integrity management, which can not only ensure the safety of oil and gas transportation, but also promote the stable development of China's social economy. Based on this, this paper deeply analyzes the development status of oil and gas pipeline integrity management data model, and makes an in-depth exploration on the establishment and application of oil and gas pipeline integrity data model by comparing various data models, combined with the current situation of oil and gas pipeline integrity management, and with the help of the advantages of apdm model, such as data set division and spatial information management.

A Data Structure Model Supporting Railway Distributed System Integration

2011 ◽  
Author(s):  
Hanning Wang ◽  
Weixiang Xu ◽  
Chaolong Jia
Keyword(s):  
Data Integration ◽  
Distributed System ◽  
Spatial Data ◽  
Data Model ◽  
System Integration ◽  
Information Exchange ◽  
Data Models ◽  
Common Data Model ◽  
Data Set ◽  
Application Systems

Railway distributed system integration needs to realize information exchange, resources sharing and coordination process across fields, departments and application systems. And railway data integration is essential to implement this integration. In order to resolve the problem of heterogeneity of data models among data sources of different railway operation systems, this paper presents a novel integration data model of spatial structure, a XML-oriented 3-dimension common data model. The proposed model accommodates both the flexibility of level relationship and syntax expression in data integration. In this model, a spatial data pattern is used to describe and express the characteristic relationship of data items among all types of data. Based on the data model with rooted directed graph and the organization of level as well as the flexibility of the expression, the model can represent the mapping between different data models, including relationship model and object-oriented model. A consistent concept and algebraic description of the data set is given to function as the metadata in data integration, so that the algebraic manipulation of data integration is standardized to support the data integration of distributed system.

scholarly journals INFACTORY: A RESTFUL API SERVER FOR EASILY CREATING INDOORGML

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 77-84
Author(s):  
H. Jeong ◽  
H. Ryoo ◽  
K.-J. Li
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Spatial Information ◽  
Indoor Space ◽  
Exchange Format ◽  
Data Editing ◽  
Exchange Information ◽  
Space Data

<p><strong>Abstract.</strong> Recently, services and systems that deal with indoor spatial information are increasing. Each service or system adopts a data model that can store necessary indoor space data according to its purpose. However, since the content of indoor spatial information that can be expressed by each data model is differ and limited, it is necessary to exchange information between the systems in order to use rich indoor spatial data. OGC has published IndoorGML as the standard for exchange of indoor spatial information data between systems. To use IndoorGML as an exchange format, the software which supports IndoorGML construction is fundamental. But there are several limitations in the previous IndoorGML data editing tools. There is no editing tool that can generate all the features which are defined by IndoorGML. If users want to generate IndoorGML data, they need to consider the requirements of the IndoorGML. In this study, we implemented InFactory, which is a IndoorGML generation tool based on RESTful API supporting users to easily construct IndoorGML data. Users can easily create IndoorGML without knowledge on the schema and requirements of IndoorGML using InFactory. In addition, developers on IndoorGML data construction tools such as GUI editors do not have to implement duplicated IndoorGML generation program for their systems. Using Java API that supports CRUD on IndoorGML data, users can also deal with IndoorGML data in their applications.</p>

scholarly journals AUTOMATIC EXTRACTION OF IndoorGML CORE MODEL FROM OpenStreetMap

2015 ◽  
Vol XL-1-W5 ◽  
pp. 459-462 ◽  
Author(s):  
S. S. Mirvahabi ◽  
R. A. Abbaspour
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Spatial Information ◽  
Human Life ◽  
Data File ◽  
Automatic Generation ◽  
New Approach ◽  
Indoor Space ◽  
Navigation Data ◽  
Indoor Spaces

Navigation has become an essential component of human life and a necessary component in many fields. Because of the increasing size and complexity of buildings, a unified data model for navigation analysis and exchange of information. IndoorGML describes an appropriate data model and XML schema of indoor spatial information that focuses on modelling indoor spaces. Collecting spatial data by professional and commercial providers often need to spend high cost and time, which is the major reason that VGI emerged. One of the most popular VGI projects is OpenStreetMap (OSM). In this paper, a new approach is proposed for the automatic generation of IndoorGML data core file from OSM data file. The output of this approach is the file of core data model that can be used alongside the navigation data model for navigation application of indoor space.

DARCY RIBEIRO UNIVERSITY CAMPUS MAP – 2017- TECHNICAL NOTE

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Rafael Sanzio Araújo dos Anjos ◽  
Jose Leandro de Araujo Conceição ◽  
Jõao Emanuel ◽  
Matheus Nunes
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Technical Note ◽  
University Campus ◽  
Communication Tool ◽  
Sources Of Information ◽  
Data Manipulation ◽  
Geographic Space ◽  
The Many ◽  
New Generation

The spatial information regarding the use of territory is one of the many strategies used to answer and to inform about what happened, what is happening and what may happen in geographic space. Therefore, the mapping of land use as a communication tool for the spatial data made significant progress in improving sources of information, especially over the last few decades, with new generation remote sensing products for data manipulation.

Spatial data model for underground mine 3D visual production management and control system

2013 ◽  
Vol 32 (2) ◽  
pp. 581-584
Author(s):  
Shu-min XIONG ◽  
Li-guan WANG ◽  
Zhong-qiang CHEN ◽  
Jian-hong CHEN
Keyword(s):  
Control System ◽  
Spatial Data ◽  
Data Model ◽  
Production Management ◽  
Underground Mine ◽  
And Control ◽  
Spatial Data Model

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.

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