The Extended Structure of Multi-Resolution Database

Kozioł, Krystian; Lupa, Michał; Krawczyk, Artur

doi:10.1007/978-3-319-06932-6_42

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…This involves problems with creating generalization rules when concerting to other scales. These considerations are similar to the proposed solution to problems with generalization in topography maps [4].…”

Section: Proposed Solutions For Reducing Limitations On Managing Survmentioning

confidence: 64%

A concept for the modernization of underground mining master maps based on the enrichment of data definitions and spatial database technology

Krawczyk

2018

E3S Web Conf.

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Abstract. In this article, topics regarding the technical and legal aspects of creating digital underground mining maps are described. Currently used technologies and solutions for creating, storing and making digital maps accessible are described in the context of the Polish mining industry. Also, some problems with the use of these technologies are identified and described. One of the identified problems is the need to expand the range of mining map data provided by survey departments to other mining departments, such as ventilation maintenance or geological maintenance. Three solutions are proposed and analyzed, and one is chosen for further analysis. The analysis concerns data storage and making survey data accessible not only from paper documentation, but also directly from computer systems. Based on enrichment data, new processing procedures are proposed for a new way of presenting information that allows the preparation of new cartographic representations (symbols) of data with regard to users' needs.

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Section: Proposed Solutions For Reducing Limitations On Managing Survmentioning

confidence: 64%

A concept for the modernization of underground mining master maps based on the enrichment of data definitions and spatial database technology

Krawczyk

2018

E3S Web Conf.

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“…They are also applied in specialist hydrographic research [43] and network analyses. Such solutions will also have numerous applications in cartographic generalization [44,45] and other processes [46].…”

Section: Methods Of Generating the Axes Of Elongated Polygonsmentioning

confidence: 99%

A Method for Generating the Centerline of an Elongated Polygon on the Example of a Watercourse

Lewandowicz

Flisek

2020

IJGI

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The centerlines of polygons can be generated with the use of various methods. The aim of this study was to propose an algorithm for generating the centerline of an elongated polygon based on the transformation of vector data. The proposed method involves the determination of base points denoting the direction of river flow. These points were also used to map two polygon boundaries. A Triangulated Irregular Network (TIN) was created based on the polygon’s breakpoints. Edges that intersect the river channel in a direction perpendicular to river flow (across) were selected from a set of TIN edges. The polygon was partitioned into segments with the use of the selected TIN edges. The midpoints of selected TIN edges were used to generate the polygon’s centerline based on topological relations. The presented methodology was tested on a polygon representing a 15-km-long section of a river intersecting the city of Olsztyn (a university center). The analyzed river is a highly meandering watercourse, and its channel is narrowed down by hydraulic structures. The river features an island and distributary channels. The generated centerline effectively fits the polygon, and, unlike the solution modeled with the Medial Axis Transformation (MAT) algorithm, it does not feature branching streams.

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“…In contrast to traditional textual data, which contain only a limited set of qualities, geospatial data offer a wide range of additional features. Extensive geospatial data processing, according to several studies [113,[117][118][119][120][121][122][123][124][125][126], necessitates well-established methods for processing the enormous quantity of geo-spatial data at hand. The article [127] demonstrated that wellknown RDBMS systems encountered numerous difficulties when attempting to analyze geographical data.…”

Section: Empirical Studies Analysismentioning

confidence: 99%

SQL and NoSQL Database Software Architecture Performance Analysis and Assessments—A Systematic Literature Review

Khan

Kumar

Cheng

et al. 2023

BDCC

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The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. SQL databases were created to organize data and allow for horizontal expansion. NoSQL databases, on the other hand, support horizontal scalability and can efficiently process large amounts of unstructured data. Organizational needs determine which paradigm is appropriate, yet selecting the best option is not always easy. Differences in database design are what set SQL and NoSQL databases apart. Each NoSQL database type also consistently employs a mixed-model approach. Therefore, it is challenging for cloud users to transfer their data among different cloud storage services (CSPs). There are several different paradigms being monitored by the various cloud platforms (IaaS, PaaS, SaaS, and DBaaS). The purpose of this SLR is to examine the articles that address cloud data portability and interoperability, as well as the software architectures of SQL and NoSQL databases. Numerous studies comparing the capabilities of SQL and NoSQL of databases, particularly Oracle RDBMS and NoSQL Document Database (MongoDB), in terms of scale, performance, availability, consistency, and sharding, were presented as part of the state of the art. Research indicates that NoSQL databases, with their specifically tailored structures, may be the best option for big data analytics, while SQL databases are best suited for online transaction processing (OLTP) purposes.

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The Extended Structure of Multi-Resolution Database

Cited by 10 publications

References 7 publications

A concept for the modernization of underground mining master maps based on the enrichment of data definitions and spatial database technology

A concept for the modernization of underground mining master maps based on the enrichment of data definitions and spatial database technology

A Method for Generating the Centerline of an Elongated Polygon on the Example of a Watercourse

SQL and NoSQL Database Software Architecture Performance Analysis and Assessments—A Systematic Literature Review

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