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Convert GeoJSON to Geopackage

Use this tool to convert GeoJSON to Geopackage with various options such as Geometry Type, Projections, Line separator, etc.

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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:

  1. 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.
  2. 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.
  3. Feature Collection: A GeoJSON Feature Collection is a container for multiple Feature objects. It allows grouping multiple features into a single object.
  4. 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.
  5. 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.
  6. 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.
  7. 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.

What is GeoPackage?

A GeoPackage file is a type of spatial data container that can store various types of geographic data including vector data (points, lines, polygons), raster data (images), and metadata. It is an open standard format developed by the Open Geospatial Consortium (OGC) and is designed to be a lightweight, portable, and interoperable format for exchanging geographic information.

Key features of a GeoPackage file include:

  1. SQLite-Based: GeoPackage files are based on SQLite, a popular embedded database engine. This allows GeoPackage files to be self-contained and portable, as SQLite is widely supported across different platforms and programming languages.
  2. Multiple Data Types: GeoPackage files can contain multiple layers of vector and raster data, as well as associated metadata. This makes it suitable for storing complex geographic datasets with different types of information.
  3. Support for Spatial Indexing: GeoPackage files support spatial indexing, which enables efficient spatial queries and operations on geographic data. This indexing mechanism enhances the performance of data retrieval and analysis.
  4. Tile Pyramid Structure: GeoPackage files can store raster data in a tile pyramid structure, which is a hierarchical organization of tiles at different zoom levels. This allows for efficient display of raster data, particularly in web mapping applications.
  5. Interoperability: GeoPackage files adhere to open standards defined by the OGC, ensuring interoperability with other GIS software and systems that support the GeoPackage format. This promotes data sharing and collaboration among different users and organizations.

Overall, GeoPackage files provide a flexible and efficient way to store, exchange, and analyze geographic data, making them well-suited for a wide range of applications in geospatial technology.