Accuracy assessment of old large-scale maps and reducing positional error in land use change analyses
Abstract Old large-scale maps are a very valuable source of historical data and have a place in landscape studies, especially when researching smaller areas, such as municipalities or cadastres, where they allow work at the level of land parcels. The purpose of this study was to verify the positiona...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-12235-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849388253531078656 |
|---|---|
| author | Darina Kratochvílová Jiří Cajthaml |
| author_facet | Darina Kratochvílová Jiří Cajthaml |
| author_sort | Darina Kratochvílová |
| collection | DOAJ |
| description | Abstract Old large-scale maps are a very valuable source of historical data and have a place in landscape studies, especially when researching smaller areas, such as municipalities or cadastres, where they allow work at the level of land parcels. The purpose of this study was to verify the positional accuracy of large-scale maps used in landscape analyses and to test the possibility of eliminating the influence of positional inconsistency of map sources on the results of analyses. The achieved values of the mean positional errors for the historical data models from the mid-19th and mid-20th centuries are in the range of three to four metres for the model areas, which is highly accurate considering the scale values of the old maps used, confirming the suitability of these maps for landscape studies. Narrow residual polygons, referred to as sliver polygons, arise during overlay operations because of positional errors in old maps can affect the results of the analysis. Different methods for removing sliver polygons were proposed and tested by comparing the selected results of the spatiotemporal analysis. The methods reduced the false change areas, which was most evident in the change maps. The change maps after using the appropriate method better reflected the true changes. |
| format | Article |
| id | doaj-art-d164aa95ef4c4413ac880e4a3f05d0ad |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-d164aa95ef4c4413ac880e4a3f05d0ad2025-08-20T03:42:22ZengNature PortfolioScientific Reports2045-23222025-07-0115111710.1038/s41598-025-12235-9Accuracy assessment of old large-scale maps and reducing positional error in land use change analysesDarina Kratochvílová0Jiří Cajthaml1Faculty of Civil Engineering, Department of Geomatics, Czech Technical University in PragueFaculty of Civil Engineering, Department of Geomatics, Czech Technical University in PragueAbstract Old large-scale maps are a very valuable source of historical data and have a place in landscape studies, especially when researching smaller areas, such as municipalities or cadastres, where they allow work at the level of land parcels. The purpose of this study was to verify the positional accuracy of large-scale maps used in landscape analyses and to test the possibility of eliminating the influence of positional inconsistency of map sources on the results of analyses. The achieved values of the mean positional errors for the historical data models from the mid-19th and mid-20th centuries are in the range of three to four metres for the model areas, which is highly accurate considering the scale values of the old maps used, confirming the suitability of these maps for landscape studies. Narrow residual polygons, referred to as sliver polygons, arise during overlay operations because of positional errors in old maps can affect the results of the analysis. Different methods for removing sliver polygons were proposed and tested by comparing the selected results of the spatiotemporal analysis. The methods reduced the false change areas, which was most evident in the change maps. The change maps after using the appropriate method better reflected the true changes.https://doi.org/10.1038/s41598-025-12235-9 |
| spellingShingle | Darina Kratochvílová Jiří Cajthaml Accuracy assessment of old large-scale maps and reducing positional error in land use change analyses Scientific Reports |
| title | Accuracy assessment of old large-scale maps and reducing positional error in land use change analyses |
| title_full | Accuracy assessment of old large-scale maps and reducing positional error in land use change analyses |
| title_fullStr | Accuracy assessment of old large-scale maps and reducing positional error in land use change analyses |
| title_full_unstemmed | Accuracy assessment of old large-scale maps and reducing positional error in land use change analyses |
| title_short | Accuracy assessment of old large-scale maps and reducing positional error in land use change analyses |
| title_sort | accuracy assessment of old large scale maps and reducing positional error in land use change analyses |
| url | https://doi.org/10.1038/s41598-025-12235-9 |
| work_keys_str_mv | AT darinakratochvilova accuracyassessmentofoldlargescalemapsandreducingpositionalerrorinlandusechangeanalyses AT jiricajthaml accuracyassessmentofoldlargescalemapsandreducingpositionalerrorinlandusechangeanalyses |