8 Best Java Geospatial Libraries 2023
by Kanika Maheshwari Updated: Feb 21, 2023
Here are some famous Java Geospatial Libraries. Some Java Geospatial Libraries' use cases include Location-based services, GIS analysis, Spatial databases, Web mapping applications, and Mobile applications.
Java geospatial libraries refer to a set of software libraries written in the Java programming language that can be used for creating, manipulating, and analyzing geospatial data. These libraries allow developers to quickly and easily incorporate geospatial operations into their applications, such as mapping, searching, route optimization, and more.
Let us have a look at some of the famous Java Geospatial libraries.
- Supports advanced geometry operations, such as buffer, intersect, and union.
- Has an extensive set of RESTful APIs.
- Includes a robust security system.
- Support for a wide range of coordinate systems.
- Ability to transform to and from multiple coordinate systems.
- Open source and freely available.
- Supports polygonal and lineal geometry operations.
- Provides a complete set of basic and extended spatial predicates and functions.
- Designed to be thread-safe, so multiple threads can safely access the same geometry object.
The JTS Topology Suite is a Java library for creating and manipulating vector geometry.
Java 1643 Version:1.19.0 License: Others (Non-SPDX)
- Provides powerful tools for managing large, complex geospatial datasets.
- Released under the LGPL open source license, making it free to use and modify.
- Highly portable and makes it easy to share code .
- Support large-scale spatial analysis and data management, leveraging distributed storage and computation frameworks.
- Supports a wide range of data formats and encodings, including GeoJSON, GML, and WKT.
- Allows users to perform vector and raster analytics on large datasets.
GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.
Scala 1302 Version:geomesa-3.5.2 License: Permissive (Apache-2.0)
- Offers a range of spatial analysis functions including buffer distance calculation and more.
- Implements a custom R-Tree indexing scheme to support fast queries on geospatial data.
- Offers an easy-to-use SQL interface to manipulate geospatial data stored in an H2 database.
- Offers a drag-and-drop feature that allows users to visualize and edit GIS data.
- Offers a fully integrated geoprocessing framework and an extensive library of GIS algorithms.
- Has a sophisticated API and extensible plug-in architecture.
uDig parent project containing all core components. More plugins can be found in community repos: http://github.com/uDig-Community
Java 148 Version:release/2.2.0.RC1 License: No License
- Designed to be extensible and provides the ability to add custom data formats, services, and operations.
- Written entirely in Java and is designed to be lightweight and fast.
- Highly portable and can be used on any platform that supports Java.
GeoAPI provides a set of interfaces in programming languages (currently Java and Python) for geospatial applications. The GeoAPI interfaces closely follow OGC specifications, adaptated to match the expectations of programmers.
Java 101 Version:3.0.2 License: Permissive (Apache-2.0)