1 dataset found
  1. m

    RAW DATA ON CONCENTRATION IN MUNICIPALITY OF PECINCI, SERBIA

    • data.mendeley.com
    Updated Feb 24, 2025
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    Tatjana Mrdjenovic (2025). RAW DATA ON CONCENTRATION IN MUNICIPALITY OF PECINCI, SERBIA [Dataset]. http://doi.org/10.17632/gfdrxrsjnc.1
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    Dataset updated
    Feb 24, 2025
    Authors
    Tatjana Mrdjenovic
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Serbia, Municipality of Pećinci
    Description

    The presented data is a part of a novel, developing approach of data integration for sustainable planning of central activities at the spatial planning level, based on a case study of the Plan of Central Activities for the Municipality of Pecinci in Serbia, published in “Data set on centrality in Municipality of Pecinci, SERBIA”, Mrdjenovic, Tatjana (2024), Mendeley Data, V1, doi: 10.17632/p69pbypd78.1. The current theories and practice of planning central activities in Serbia use mostly functional factors of network flow and graphs; however, this method seeks to improve present practice in data usage towards the sustainable development of central activities and integrative central places using morphological aspects of centrality, i.e., their pattern of local nodality using qualitative and quantitative measures for their development.

    The Alphanumeric data in Sheet 1 present raw data on concentration for generating centrality in Municipality of Pecinci. The data was acquired manually by using the number lot as a key for the data on the surface, kind of usage, and type of ownership for each settlement from the official source E-Cadastre https://katastar.rgz.gov.rs/eKatastarPublic/publicaccess.aspx. Both lot number and lot surface were provided at the official base map in CAD format. Alfa numeric data was merged with spatial data later using GIS. All figures and images connected to this data was made using open-source GIS software. The data can be used as a model for measuring centrality in the process of spatial and urban planning.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Tatjana Mrdjenovic (2025). RAW DATA ON CONCENTRATION IN MUNICIPALITY OF PECINCI, SERBIA [Dataset]. http://doi.org/10.17632/gfdrxrsjnc.1

RAW DATA ON CONCENTRATION IN MUNICIPALITY OF PECINCI, SERBIA

Explore at:
Dataset updated
Feb 24, 2025
Authors
Tatjana Mrdjenovic
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Serbia, Municipality of Pećinci
Description

The presented data is a part of a novel, developing approach of data integration for sustainable planning of central activities at the spatial planning level, based on a case study of the Plan of Central Activities for the Municipality of Pecinci in Serbia, published in “Data set on centrality in Municipality of Pecinci, SERBIA”, Mrdjenovic, Tatjana (2024), Mendeley Data, V1, doi: 10.17632/p69pbypd78.1. The current theories and practice of planning central activities in Serbia use mostly functional factors of network flow and graphs; however, this method seeks to improve present practice in data usage towards the sustainable development of central activities and integrative central places using morphological aspects of centrality, i.e., their pattern of local nodality using qualitative and quantitative measures for their development.

The Alphanumeric data in Sheet 1 present raw data on concentration for generating centrality in Municipality of Pecinci. The data was acquired manually by using the number lot as a key for the data on the surface, kind of usage, and type of ownership for each settlement from the official source E-Cadastre https://katastar.rgz.gov.rs/eKatastarPublic/publicaccess.aspx. Both lot number and lot surface were provided at the official base map in CAD format. Alfa numeric data was merged with spatial data later using GIS. All figures and images connected to this data was made using open-source GIS software. The data can be used as a model for measuring centrality in the process of spatial and urban planning.

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