A Python toolbox for the objective analysis (interpolation) of oceanographic and meteorological data, particularly for creating gridded fields from sparse observations.
octant
- بايثون
- تحليلات البيانات, البيئة والاستدامة, ديناميكيات الموائع, علوم البحار, الرياضيات
- الهندسة البيئية, الأثر البيئي, التعلّم الآلي, خوارزميات الصيانة التنبؤية, تحسين العمليات, إدارة الجودة, التحليل الإحصائي, تصميم يركز على المستخدم
الميزات:
- Objective analysis (Optimal Interpolation),gridding of sparse data,variational analysis,data assimilation (simple forms),error estimation for gridded fields,support for n-dimensional data,integration with NumPy and xarray,tools for handling oceanographic data
التسعير:
- مجاناً
- Specialized for oceanographic/meteorological data interpolation, implements established objective analysis techniques, useful for creating consistent gridded datasets from observations.
- Niche application, smaller user community, development activity appears somewhat limited, documentation might be focused on specific use cases or assume familiarity with objective analysis methods.
الأفضل لـ
- Oceanographers and meteorologists needing to interpolate sparse observational data onto regular grids using objective analysis methods.