Changing urban climate - Mastering adaptations to heavy rain, flood and heat with geo-IT
Keywords:
Climate Adaptation, GIS, Geospatial Data, Environmental Monitoring, Urban Planning, Risk Mapping, Spatial AnalysisAbstract
This editorially generated abstract summarizes the topic indicated by the title “Changing urban climate - Mastering adaptations to heavy rain, flood and heat with geo-IT.” The article concerns the use of geospatial information and related digital methods in the context suggested by its subject. It provides a framework for considering how climate adaptation, gis, geospatial data, environmental monitoring, urban planning can support data collection, interpretation, planning, communication, or operational decision-making, depending on the application. Geospatial workflows commonly bring together location-referenced datasets, analytical tools, visualization, and domain expertise. Examining these elements can help readers understand the practical questions involved, including data quality, interoperability, usability, and the transfer of information between people and systems. The title also points to the relationship between technical capability and real-world needs: successful implementation generally depends not only on software or sensors, but also on suitable data, clear processes, and coordination among stakeholders. Readers interested in climate adaptation, gis, geospatial data, environmental monitoring, urban planning may use the article as a starting point for understanding the application area and identifying questions for further investigation. Because this abstract was created from the bibliographic title rather than the full article text, it should be treated as an editorial description, not as a verified summary of the article's methods, findings, or conclusions. The source record places the contribution in issue 6 of gis.Business (2020), on pages 34-35. The source record lists Ueberham M. as the author. The original article should be consulted for its exact scope, evidence, and conclusions.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This permits anyone to share, copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial purposes, provided that appropriate credit is given to the original author(s), a link to the license is provided, and any changes made to the material are indicated.



