Using the Scala XML API to translate from Mapnik XML to GeoTools' SLD dialect
Las características principales de dwins/mapnik2geotools son: Geospatial Development Libraries, Scala Geospatial Libraries.
Las alternativas de código abierto para dwins/mapnik2geotools incluyen: locationtech/geotrellis — GeoTrellis is a geographic data processing engine for high performance applications. dwins/geoscript.scala — Scala implementation of the GeoScript API. torchgeo/torchgeo — TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and… osgeo/gdal — GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and… dark-panda/ffi-geos — ffi-geos is an implementation of the GEOS Ruby bindings in Ruby via FFI. beaorn/agroclimatology — Ruby client for interacting with the NASA (POWER) Agroclimatology Web Resource.
GeoTrellis is a geographic data processing engine for high performance applications.
GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of file formats. It serves as a foundational geospatial data translation library, enabling access to diverse geospatial data formats through a single, consistent interface. The library exposes its core functionality through command-line utilities that allow users to translate, convert, and process geospatial data between formats. A coordinate transformation engine handles conversions between spatial reference systems, whil
TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel
