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SPDIAM: Methodology for Describing and Solving Spatial Problems in Territorial Planning

Author

Listed:
  • Indraja Germanaite

    (Centre of Information Systems Design Technologies, Kaunas University of Technology, 51368 Kaunas, Lithuania)

  • Kestutis Zaleckis

    (Faculty of Civil Engineering and Architecture, Kaunas University of Technology, 51368 Kaunas, Lithuania)

  • Rimantas Butleris

    (Centre of Information Systems Design Technologies, Kaunas University of Technology, 51368 Kaunas, Lithuania)

Abstract

Spatial pattern (SP) helps to analyze the tasks and provisions that arise in the spatial planning and design disciplines examining a complex spatial system (CSS). The aim of this article is to present a territorial planning process and how SP description, identification, and application methodology (SPDIAM) can help to work with it using a CSS model. First, the quantitative spatial analysis methods and spatial network analysis tools that can be used to identify SP are compared with SPDIAM. Then, the main concepts of SPDIAM and created IT artefacts are explained. In the experiment section, the SP is identified using spatial metapatterns in different North American, European, and African cities and the correlation results of SP and statistics are calculated to show a medium to close relationship. Then, the territorial planning cycle and SPDIAM application use case using the data of Kaunas city (Lithuania) are presented. The results of SPDIAM can be used to associate the shape of the territory with the geographer models and Alexander patterns using the bottom-up modelling principle and allows us to standardize urban planning solutions.

Suggested Citation

  • Indraja Germanaite & Kestutis Zaleckis & Rimantas Butleris, 2022. "SPDIAM: Methodology for Describing and Solving Spatial Problems in Territorial Planning," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10687-:d:899554
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    References listed on IDEAS

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