Abstract: Understanding spatial data quality is important in Geographic Information Science (GIS) applications. Spatial data are used in a variety of critical areas, including urban planning, ...

CHEYENNE – Every map tells a story, and GIS Day at Laramie County Community College invites the community to explore how maps, data and technology reveal the stories shaping our world today. GIS Day ...

R has become a popular and powerful platform for working with geospatial data due to its well-developed ecosystem of packages to import, process, analyze and visualize spatial data, strong integration ...

A warming climate and the increasing threat of urban wildfires have water districts assuming new responsibilities as part of their role to provide fire protection — and they're supporting that work ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

Moreover, our pipeline is highly data driven, enhancing study data with a rich variety of publicly available information and knowledge sources. We also showcase our pipeline and provide guidance on ...

Laboratory for Functional Genome Analysis (LAFUGA), Department of Genomics, Gene Centre, Ludwig-Maximilians-University, Feodor-Lynen-Straße 25, Munich 81377, Germany ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

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