SCI-WMS: Python-Based Web Mapping Service for Visualizing Geospatial Data
| Autor: | Brandon A. Mayer, Alexander Crosby, Brian McKenna, Kelly Knee |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Geospatial analysis
business.industry Computer science Testbed computer.file_format Python (programming language) computer.software_genre GeneralLiterature_MISCELLANEOUS Integrated Ocean Observing System Geospatial PDF Web Coverage Service Web mapping Web service Software engineering business computer computer.programming_language |
| Zdroj: | Machine Learning and Data Mining Approaches to Climate Science ISBN: 9783319172194 |
| DOI: | 10.1007/978-3-319-17220-0_12 |
| Popis: | SCI-WMS is an open-source web service for the visualization and qualitative assessment of distributed geospatial data. The modular cross-platform Python implementation of SCI-WMS allows the service to keep pace with the rapid developments in the geospatial data science community to produce visualizations for numerous types of model outputs with transparent support for both structured and unstructured geo-referenced topologies. This article outlines the implementation and technology stack for visualizing geospatial data using SCI-WMS and details the deployment of SCI-WMS for visualizing model data and simulations within the scope of the US Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) project (Luettich et al., J Geophys Res Oceans 118(12):6319–6328, 2013). |
| Databáze: | OpenAIRE |
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