What Geospatial data formats can Apache Sedona work with?
Apache Sedona enable users to load geospatial data stored in various formats. Examples of that are ShapeFiles, CSV, WKT, WKB, GeoJSON, GeoParquet, GeoTIFF, among others. Below are a few examples of how it supports some of these formats:
ShapeFiles: Apache Sedona provides support for ShapeFiles, which is a widely used spatial data format for storing geographic data. ShapeFiles are commonly used to represent spatial data in GIS applications, and are supported by many different tools and libraries for working with spatial data. Apache Sedona includes a number of functions and APIs for working with ShapeFiles, including support for reading and writing ShapeFiles, converting between ShapeFiles and other spatial data formats, and performing spatial queries and analysis on ShapeFiles. You can use these functions and APIs to integrate ShapeFile support into your Apache Sedona applications and work with ShapeFiles in a distributed and scalable way.
GeoJSON: Apache Sedona provides support for the GeoJSON format, which is a widely used open standard for encoding geographic data as JSON objects. GeoJSON is commonly used to represent spatial data in web applications and other contexts, and is supported by many different tools and libraries for working with spatial data. Apache Sedona includes a number of functions and APIs for working with GeoJSON data, including support for reading and writing GeoJSON data, converting between GeoJSON and other spatial data formats, and performing spatial queries and analysis on GeoJSON data sets. You can use these functions and APIs to integrate GeoJSON support into your Apache Sedona applications and work with GeoJSON data in a distributed and scalable way using Apache Spark.
GeoTIFF: Apache Sedona is well-suited for processing GeoTIFF raster data, which is a type of spatial data that is commonly used in many different applications and industries. Raster data is a grid of cells that are organized into rows and columns, and each cell in the grid contains a value or set of values that represent some aspect of the spatial information being represented. Apache Sedona provides a range of functions and APIs for working with raster data, including support for reading and writing raster data, performing spatial queries and analysis on raster data sets. You can use these functions and APIs to process raster data in Apache Sedona, and perform a wide range of spatial analysis tasks on raster data sets. Apache Sedona’s distributed and scalable architecture makes it particularly well-suited for processing large and complex raster data sets, and can help you to extract insights and information from raster data in a efficient and effective way.