„TaMiS“–Talsperren-Monitoring in der Webapp

Authors

  • Malewski C. Author
  • Kollar S. Author
  • Förster C. Author
  • Spies K.-H. Author

Keywords:

GIS, Geospatial Data, Geoinformation, Spatial Analysis, Digital Mapping, Data Management, Geospatial Technology

Abstract

This editorially generated abstract outlines the topic indicated by the title “„TaMiS“–Talsperren-Monitoring in der Webapp.” The subject is relevant to work involving gis, geospatial data, geoinformation, spatial analysis, where location-based information can help connect data, operational context, and decision-making. Geospatial workflows often combine reliable source data, suitable collection methods, clear data structures, analysis, and accessible visualization. These elements can help practitioners understand patterns, compare alternatives, communicate complex information, and coordinate activities across teams or organizations. The practical value of a technology or approach depends on the quality and currency of the underlying information, interoperability between systems, and the ability of users to interpret results in context. For researchers and professionals, the topic also raises questions about implementation, governance, usability, and how digital tools can support real-world needs. Where appropriate, GIS and related geospatial methods can support planning, monitoring, documentation, and evaluation by making the spatial dimension of a problem explicit. This description is based on the bibliographic title and does not claim specific methods, measurements, findings, or conclusions that cannot be verified from the source record. Readers should consult the original article for its complete argument, evidence, and recommendations. The source record lists Malewski C.; Kollar S.; Förster C.; Spies K.-H. as the author(s). The source record places the contribution in issue 2 of gis.Business (2021), on pages 36and38.

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Published

2021-01-01

How to Cite

„TaMiS“–Talsperren-Monitoring in der Webapp. (2021). Gis.Business | Issn : 1869-9286, 22(1), 36and38. https://journal-gis.business/index.php/gisb/article/view/619