Separation Axioms on Spatial Topological Space and Spatial Data Analysis

Rakhal Das () and Binod Chandra Tripathy ()
Additional contact information
Rakhal Das: Tripura University Agartala
Binod Chandra Tripathy: Tripura University Agartala

Annals of Data Science, 2024, vol. 11, issue 2, No 1, 423 pages

Abstract: Abstract The geographical information system has been generally used for analyzing different types of data. The notions and results of topology have been applied in this connection, known as a spatial topological relation. In this article, we have studied the different layers of geographical data and their intersection property, separation axioms on spatial topological space, spatial analysis.

Keywords: Geographical information system; Spatial topology; Separation axioms; Spatial point; Spatial data analysis; 03E72; 90B50; 03E75; 14P25; 62M30; 91B72 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40745-022-00393-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:aodasc:v:11:y:2024:i:2:d:10.1007_s40745-022-00393-w

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-022-00393-w

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().