scholarly journals The Unification of the Code Lists Provided within the Data Model Originating from the Inspire Technical Guidelines and the Ones Provided for Gesut Databases in the Context of Potential Exploitation in the Mining Industry

2016 ◽  
Vol 23 (3) ◽  
pp. 178-182
Author(s):  
Andrzej Zygmuniak ◽  
Violetta Sokoła-Szewioła
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Spatial Databases ◽  
Mining Industry ◽  
Data Models ◽  
Research Projects ◽  
Mining Areas ◽  
European Parties ◽  
Potential Exploitation ◽  
The Way

Abstract This study is aimed at exposing differences between two data models in case of code lists values provided there. The first of them is an obligatory one for managing Geodesic Register of Utility Networks databases in Poland [9] and the second is the model originating from the Technical Guidelines issued to the INSPIRE Directive. Since the second one mentioned is the basis for managing spatial databases among European parties, correlating these two data models has an effect in easing the way of harmonizing and, in consequence, exchanging spatial data. Therefore, the study presents the possibilities of increasing compatibility between the values of the code lists concerning attributes for objects provided in both models. In practice, it could lead to an increase of the competitiveness of entities managing or processing such databases and to greater involvement in scientific or research projects when it comes to the mining industry. Moreover, since utility networks located on mining areas are under particular protection, the ability of making them more fitted to their own needs will make it possible for mining plants to exchange spatial data in a more efficient way.

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).

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 DATA SECURITY SYSTEM FOR THE WINMAP GIS

2016 ◽  
Vol 1 (12) ◽  
pp. 138-141
Author(s):  
Заставной ◽  
Dmitriy Zastavnoy
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Data Security ◽  
Spatial Databases ◽  
Data Access ◽  
Security System ◽  
Control Data ◽  
Geoinformation Systems ◽  
Data Access Control ◽  
Access Model

A key feature for the information systems is data security, but the Geoinformation Systems and Spatial Databases as well as their applications appear to have some drawbacks concerning that matter. Most suggestions about geodata confidentiality are obviously stuck in their attempts to link access rules with geometric properties of spatial data. In this paper we suggest a different approach toward build data access model and a complete data security system for a WinMAP system which includes account control, data access control based on an extended DAC and audit features. A data model of WinMAP is also described because its specialized features allow to rationally develop and effectively implement the data security system. An implementation of the extended DAC model is briefly sketched.

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

NONLINEAR PANEL DATA MODELS WITH DISTRIBUTION-FREE CORRELATED RANDOM EFFECTS

2021 ◽  
pp. 1-25
Author(s):  
Yu-Chin Hsu ◽  
Ji-Liang Shiu
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Conditional Distribution ◽  
Unobserved Heterogeneity ◽  
Random Effect ◽  
Data Models ◽  
Panel Data Model ◽  
Panel Data Models ◽  
Likelihood Functions ◽  
Correlated Random Effects

Under a Mundlak-type correlated random effect (CRE) specification, we first show that the average likelihood of a parametric nonlinear panel data model is the convolution of the conditional distribution of the model and the distribution of the unobserved heterogeneity. Hence, the distribution of the unobserved heterogeneity can be recovered by means of a Fourier transformation without imposing a distributional assumption on the CRE specification. We subsequently construct a semiparametric family of average likelihood functions of observables by combining the conditional distribution of the model and the recovered distribution of the unobserved heterogeneity, and show that the parameters in the nonlinear panel data model and in the CRE specification are identifiable. Based on the identification result, we propose a sieve maximum likelihood estimator. Compared with the conventional parametric CRE approaches, the advantage of our method is that it is not subject to misspecification on the distribution of the CRE. Furthermore, we show that the average partial effects are identifiable and extend our results to dynamic nonlinear panel data models.

scholarly journals Challenges to the validity of topic reconstruction

2021 ◽  
Author(s):  
Matthias Held ◽  
Grit Laudel ◽  
Jochen Gläser
Keyword(s):  
Data Model ◽  
Ground Truth ◽  
Data Models ◽  
Bibliographic Coupling ◽  
Parameter Setting ◽  
Meso Level ◽  
Resolution Level ◽  
Micro Level ◽  
Research Questions ◽  
Model Algorithm

AbstractIn this paper we utilize an opportunity to construct ground truths for topics in the field of atomic, molecular and optical physics. Our research questions in this paper focus on (i) how to construct a ground truth for topics and (ii) the suitability of common algorithms applied to bibliometric networks to reconstruct these topics. We use the ground truths to test two data models (direct citation and bibliographic coupling) with two algorithms (the Leiden algorithm and the Infomap algorithm). Our results are discomforting: none of the four combinations leads to a consistent reconstruction of the ground truths. No combination of data model and algorithm simultaneously reconstructs all micro-level topics at any resolution level. Meso-level topics are not reconstructed at all. This suggests (a) that we are currently unable to predict which combination of data model, algorithm and parameter setting will adequately reconstruct which (types of) topics, and (b) that a combination of several data models, algorithms and parameter settings appears to be necessary to reconstruct all or most topics in a set of papers.

scholarly journals Metabolomics and lipid profile analysis of Coccomyxa melkonianii SCCA 048

Extremophiles ◽  
2021 ◽  
Author(s):  
Giacomo Fais ◽  
Veronica Malavasi ◽  
Paola Scano ◽  
Santina Soru ◽  
Pierluigi Caboni ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Profile Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Mining Site ◽  
Mining Areas ◽  
Pls Analysis ◽  
Threonic Acid ◽  
High Concentrations ◽  
Potential Exploitation

AbstractWith an unsupervised GC–MS metabolomics approach, polar metabolite changes of the microalgae Coccomyxa melkonianii SCCA 048 grown under standard conditions for seven weeks were studied. C. melkonianii was sampled at the Rio Irvi River, in the mining site of Montevecchio-Ingurtosu (Sardinia, Italy), which is severely contaminated by heavy metals and shows high concentrations of sulfates. The partial-least-square (PLS) analysis of the GC–MS data indicated that growth of C. melkonianii was characterized by an increase of the levels of threonic acid, myo-inositol, malic acid, and fumaric acid. Furthermore, at the sixth week of exponential phase the lipid fingerprint of C. melkonianii was studied by LC-QTOF-MS. C. melkonianii lipid extract characterized through an iterative MS/MS analysis showed the following percent levels: 61.34 ± 0.60% for triacylglycerols (TAG); 11.55 ± 0.09% for diacylglyceryltrimethyl homoserines (DGTS), 11.34 ± 0.10% for sulfoquinovosyldiacylglycerols (SQDG) and, 5.29 ± 0.04% for lysodiacylglyceryltrimethyl homoserines (LDGTS). Noteworthy, we were able to annotate different fatty acid ester of hydroxyl fatty acid, such as FAHFA (18:1_20:3), FAHFA (18:2_20:4), FAHFA (18:0_20:2), and FAHFA (18:1_18:0), with relevant biological activity. These approaches can be useful to study the biochemistry of this extremophile algae in the view of its potential exploitation in the phycoremediation of polluted mining areas.

scholarly journals An Approach to Generate Spatial Voronoi Treemaps for Points, Lines, and Polygons

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Song Tian ◽  
Ximin Cui ◽  
Yu Gong
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Data ◽  
Data Model ◽  
Space Filling ◽  
Distance Transformation ◽  
Voronoi Polygons ◽  
Spatial Coordinates ◽  
Filling Method ◽  
Spatial Data Model

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.

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