Convert KML to GeoJSON
Use this tool to convert KML to GeoJSON with various options such as Geometry Type, Projections, Line separator, etc.
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What is KML?
A KML (Keyhole Markup Language) file is an XML-based file format used for representing geographic data in three-dimensional earth browsers, such as Google Earth, Google Maps, and various GIS software. KML files can contain a variety of spatial data types, including points, lines, polygons, images, and text annotations, allowing users to visualize and interact with geospatial information.
Here's a breakdown of the key components typically found in a KML file:
- Document Structure: The root element of a KML file is <kml> which contains the <Document> element. Inside the <Document> element, you can include various elements representing geographical features.
- Geographical Features: KML supports different types of geographical features such as:
- <Placemark>: Represents a single point, line, or polygon feature.
- <Point>: Represents a single point.
- <LineString>: Represents a sequence of connected line segments.
- <Polygon>: Represents a closed shape with three or more sides.
- <GroundOverlay>: Represents an image overlay draped onto the ground.
- <ScreenOverlay>: Represents an image overlay fixed to the screen.
- <NetworkLink>: Allows the inclusion of content from the web.
- Styling: KML allows styling of features using <Style> elements. Styles can define attributes such as color, line width, and icon images.
- Metadata: KML files can contain metadata such as name, description, and custom properties associated with each feature.
- Hierarchy: KML files can be organized in a hierarchical structure. Features can be grouped within folders using the <Folder> element.
Overall, a KML file provides a structured way to represent geographic data along with associated metadata and styling information, making it widely used for sharing and visualizing spatial information across different platforms and applications.
What is GeoJSON?
GeoJSON, short for "Geographic JavaScript Object Notation", is an open standard format for encoding geographic data structures. It is based on the JSON (JavaScript Object Notation) format and is commonly used for representing geographical features, such as points, lines, polygons, and their associated properties.
Key aspects of GeoJSON include:
- Geometry Types: GeoJSON supports various geometry types, including Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon, and GeometryCollection. These geometries describe different spatial features like points, lines, and polygons.
- Feature Objects: A GeoJSON Feature object represents a spatially bounded entity along with its properties. It consists of a geometry and an optional set of properties. Features can represent various geographic entities such as cities, rivers, or countries.
- Feature Collection: A GeoJSON Feature Collection is a container for multiple Feature objects. It allows grouping multiple features into a single object.
- Coordinate Reference System (CRS): GeoJSON supports the use of both geographic and projected coordinate reference systems. The default CRS is WGS84 (EPSG:4326), which uses longitude and latitude coordinates. Alternative coordinate reference systems can be specified using the "crs" member.
- Properties: GeoJSON allows the inclusion of additional properties alongside geometries. These properties can be any JSON value and provide metadata or attributes associated with the spatial features.
- Simple and Lightweight: GeoJSON is designed to be easy to read and write for both humans and machines. It is a lightweight format suitable for transmitting geographic data over the web.
- Interoperability: GeoJSON is widely supported by various GIS software, libraries, and web mapping frameworks, making it a popular choice for exchanging geographic data between different systems.
Overall, GeoJSON provides a simple and versatile format for representing geographic data, making it well-suited for a wide range of applications, including web mapping, data visualization, and spatial analysis.