Snap web application significantly accelerates connection tests in the power grid; [Snap – webanwendung beschleunigt maßgeblich anschlussprüfungen im stromnetz]
Keywords:
Infrastructure, GIS, Utility Networks, Geospatial Data, Field Data Collection, Digital Workflows, Asset ManagementAbstract
This editorially generated abstract outlines the topic indicated by the title “Snap web application significantly accelerates connection tests in the power grid.” The subject is relevant to work involving infrastructure, gis, utility networks, geospatial data, 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 Emisch T.; Ketterer L. as the author(s). The source record places the contribution in issue 4 of gis.Business (2021), on pages S14-S17.
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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.



