Spatial pattern of ASG-EUPOS sites
The article presents the spatial pattern analysis of the ASG-EUPOS permanent GNSS stations in Poland. Using different methods and tools (nearest neighbour, Riplay’s K-function, morphology of Thiessen polygons) we proved that the station distribution model changes within scales. At short distances up...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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De Gruyter
2017-12-01
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Series: | Open Geosciences |
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Online Access: | https://doi.org/10.1515/geo-2017-0046 |
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author | Calka Beata Bielecka Elzbieta Figurski Mariusz |
author_facet | Calka Beata Bielecka Elzbieta Figurski Mariusz |
author_sort | Calka Beata |
collection | DOAJ |
description | The article presents the spatial pattern analysis of the ASG-EUPOS permanent GNSS stations in Poland. Using different methods and tools (nearest neighbour, Riplay’s K-function, morphology of Thiessen polygons) we proved that the station distribution model changes within scales. At short distances up to 65 km, which are typical lengths in the network, stations are irregularly dispersed. Increasing this distance to 130 km and over could result in a clustered pattern. |
first_indexed | 2024-12-16T09:03:29Z |
format | Article |
id | doaj.art-773c144793994c7e8d3d22ad24581fd0 |
institution | Directory Open Access Journal |
issn | 2391-5447 |
language | English |
last_indexed | 2024-12-16T09:03:29Z |
publishDate | 2017-12-01 |
publisher | De Gruyter |
record_format | Article |
series | Open Geosciences |
spelling | doaj.art-773c144793994c7e8d3d22ad24581fd02022-12-21T22:37:07ZengDe GruyterOpen Geosciences2391-54472017-12-019161362110.1515/geo-2017-0046geo-2017-0046Spatial pattern of ASG-EUPOS sitesCalka Beata0Bielecka Elzbieta1Figurski Mariusz2Military University of Technology, Warsaw, PolandMilitary University of Technology, Warsaw, PolandGdansk University of Technology, Gdańsk, PolandThe article presents the spatial pattern analysis of the ASG-EUPOS permanent GNSS stations in Poland. Using different methods and tools (nearest neighbour, Riplay’s K-function, morphology of Thiessen polygons) we proved that the station distribution model changes within scales. At short distances up to 65 km, which are typical lengths in the network, stations are irregularly dispersed. Increasing this distance to 130 km and over could result in a clustered pattern.https://doi.org/10.1515/geo-2017-0046asg-euposgnssrtk positioningpoint pattern analysiscomplete spatial randomnessthiessen polygonsriplay’s k-functionnearest neighbour analysis |
spellingShingle | Calka Beata Bielecka Elzbieta Figurski Mariusz Spatial pattern of ASG-EUPOS sites Open Geosciences asg-eupos gnss rtk positioning point pattern analysis complete spatial randomness thiessen polygons riplay’s k-function nearest neighbour analysis |
title | Spatial pattern of ASG-EUPOS sites |
title_full | Spatial pattern of ASG-EUPOS sites |
title_fullStr | Spatial pattern of ASG-EUPOS sites |
title_full_unstemmed | Spatial pattern of ASG-EUPOS sites |
title_short | Spatial pattern of ASG-EUPOS sites |
title_sort | spatial pattern of asg eupos sites |
topic | asg-eupos gnss rtk positioning point pattern analysis complete spatial randomness thiessen polygons riplay’s k-function nearest neighbour analysis |
url | https://doi.org/10.1515/geo-2017-0046 |
work_keys_str_mv | AT calkabeata spatialpatternofasgeupossites AT bieleckaelzbieta spatialpatternofasgeupossites AT figurskimariusz spatialpatternofasgeupossites |