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Conference object . 2023
License: CC BY
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Conference object . 2023
License: CC BY
Data sources: Datacite
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Conference object . 2023
License: CC BY
Data sources: Datacite
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Book of Abstracts

Urban Analytics for Transforming Cities and Regions: Tools, Methods and Applications
Authors: Gandhi, Shaily; Parikh, Darshan; Jehling, Mathias; Behnisch, Martin; Parmar, Manish; Sharma, Rashmi;

Book of Abstracts

Abstract

The biennial International Land Use Symposium (ILUS) is an interdisciplinary conference with an objective to advance the understanding of built-up areas and to develop new ideas for sustainable urbanization. ILUS brings together leading international academics and interested attendees for presentation, discussion, and collaborative networking in the fields of spatial sciences, environmental studies, geography, cartography, GIScience, urban planning, architecture, which relate to investigations of settlements and infrastructure. Under the umbrella of the thematic area, "Urban Analytics for Transforming Cities and Regions", ILUS 2023 is dedicated to give answers to the question how interdisciplinary concepts in spatial analysis and data modelling can contribute and support sustainable urban and regional development. To this end, the symposium covers the major topics: Urban Dynamics, Resilient urban and regional systems, Open data in planning and urban management, and Big Data Analytics and Land Use. The symposium includes original contributions from researchers with an objective to advance the knowledge on urban dynamics towards sustainability in the Global South and Global North.

Keywords

geospatial data, Land Use, India, modeling, ILUS 2023, simulation, Urban Analytics

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average