Georip is a toolset for processing geospatial raster data to create datasets for convolutional neural networks (CNNs). It enables users to manipulate raster imagery, generate training datasets, and visualize model predictions.
GMaVis is a domain-specific language (DSL) that simplifies the creation of visualization from geospatial information, which is designed to use multi-core architecture parallelism to process data in parallel.
This module covers performing descriptive analytics on time series data, geospatial data, complex data types (arrays, JSON, and JSONB), and text.
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