An Educational Guide to Geodata: XML Schemas vs. GeoJSON Models
Geographic Information Systems (GIS) and modern web mapping applications rely on various file types to store geometry, properties, and metadata. When migrating spatial assets, understanding the underlying schemas is essential:
XML-Based Formats (KML, GPX)
KML and GPX are structured XML documents that declare coordinate points using tags like <coordinates> and <trkpt>. While highly standardized and easy for standalone GPS hardware or Google Earth to read, XML is heavy and require tedious parsing workflows before they can be utilized directly in web application scripts.
GeoJSON Geometry Models
GeoJSON is an elegant, lightweight standard based on JSON (JavaScript Object Notation). It represents geometries (Point, LineString, Polygon, MultiPolygon) alongside associative property key-value dictionaries. This makes it the native format for web visualization frameworks (Leaflet, Mapbox, and OpenLayers).
How Local Spatial File Transpilation Works
DuckConvert utilizes high-performance spatial parsing engines like @tmcw/togeojson. When you upload a KML or GPX file, our client-side code parses the XML string into a sandboxed browser DOM object model. It recursively crawls the node structure, extracts the coordinate streams, formats them into standard GeoJSON Coordinates arrays (nested as longitude, latitude, and optional altitude), maps metadata tags to GeoJSON properties, and outputs a clean, minified JSON text block for immediate local download.