Sedona 可以做什么?¶

分布式空间数据集¶

• Spatial RDD on Spark
• Spatial DataFrame/SQL on Spark
• Spatial DataStream on Flink
• Spatial Table/SQL on Flink

处理复杂的空间类型¶

• Vector geometries / trajectories
• Raster images with Map Algebra
• Various input formats: CSV, TSV, WKT, WKB, GeoJSON, Shapefile, GeoTIFF, NetCDF/HDF

分布式空间查询¶

• Spatial query: range query, range join query, distance join query, K Nearest Neighbor query
• Spatial index: R-Tree, Quad-Tree

丰富的空间分析工具¶

• Coordinate Reference System / Spatial Reference System Transformation
• High resolution map generation: Visualize Spatial DataFrame/RDD
• Apache Zeppelin integration
• Support Scala, Java, Python, R