# awesome-cim

**Repository Path**: sikongsphere/awesome-cim

## Basic Information

- **Project Name**: awesome-cim
- **Description**: awesome-cim
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: develop
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2023-07-12
- **Last Updated**: 2025-04-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Awesome CIM

<p align="center">
  <a href="sikongsphere.org"><img align="center" width="100%" src="img/sikongsphere×sikong.png"></img></a>
</p>

## Data Processing

- [GDAL](https://github.com/OSGeo/gdal): Translator library for raster and vector geospatial data formats
- [PDAL](https://github.com/PDAL/PDAL): Translating and manipulating point cloud data
- [PCL](https://github.com/PointCloudLibrary/pcl): Standalone, large scale, open project for 2D/3D image and point cloud processing
- [Spatial4j](https://github.com/locationtech/spatial4j): Geospatial Library for Java
- [Geonotebook](https://github.com/OpenGeoscience/geonotebook): A Jupyter notebook extension for geospatial visualization and analysis (Developed by Kitware and NASA Ames)
- [Mapnik](https://github.com/mapnik/mapnik): Toolkit for developing mapping applications
- [locationtech/geomesa](https://github.com/locationtech/geomesa): A suite of tools for working with big geo-spatial data in a distributed fashion.
- [Geotrellis](https://github.com/locationtech/geotrellis): A Scala library and framework that uses Spark to work with raster data (Developed by DigitalGlobe and Azavea, demonstrated at Spark Summit)
- [GeoWave](https://github.com/locationtech/geowave): Provides geospatial and temporal indexing on top of Accumulo and HBase (Developed by NGA, DigitalGlobe, and Booz Allen Hamilton)
- [GeoServer](https://github.com/geoserver/geoserver): A server written in Java that allows users to share and edit geospatial data (GPL license)
- [hMagellan](https://github.com/harsha2010/magellan): Functionality support includes: base libraries, tools for distributed and parallel processing of raster and vector data on Spark, real-time querying, visualization, and interaction of geospatial and point cloud data, publishing

## Visualization

 - [Echarts](https://github.com/apache/echarts): Apache ECharts is a free, powerful charting and visualization library offering easy ways to add intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas library.
 - [Leaflet](https://github.com/Leaflet/Leaflet): JavaScript library for mobile-friendly interactive maps 🇺🇦.
 - [leaflet-echarts3](https://github.com/wandergis/leaflet-echarts3): A plugin for leaflet to load echarts3 map and Make big data visualization easier.
 - [deck.gl](https://github.com/visgl/deck.gl): deck.gl is designed to simplify high-performance, WebGL-based visualization of large data sets. Users can quickly get impressive visual results with minimal effort by composing existing layers, or leverage deck.gl's extensible architecture to address custom needs.
 - [Mapv](https://github.com/huiyan-fe/mapv): Mapv is a library of geography visualization, it can be used to visualize the big data of point, polyeline and polygon, and it has a different ways, such as simple, heatmap, grid, time and others to display the datas. This is the prerelease of Mapv 2.0. This API is unstable and may change at any point prior to the release.
 - [heatmap.js](https://github.com/pa7/heatmap.js): JavaScript Library for HTML5 canvas based heatmaps
 - [Geojs](https://github.com/OpenGeoscience/geojs): High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets (Developed by Kitware and Booz Allen Hamilton)

## WebGL
- [ThreeJS](https://github.com/mrdoob/three.js/): An easy to use, lightweight, cross-browser, general purpose 3D library. The current builds only include a WebGL renderer but WebGPU (experimental), SVG and CSS3D renderers are also available as addons.
- [CesiumJS](https://github.com/CesiumGS/cesium): CesiumJS is an open source JavaScript library for creating world-class 3D globes and maps with the best possible performance, precision, visual quality, and ease of use. Developers across industries, from aerospace to smart cities to drones, use CesiumJS to create interactive web apps for sharing dynamic geospatial data.

## Organizations

- [usgif.org](http://www.usgif.org): The United States Geospatial Intelligence Foundation (USGIF) is a 501(c)(3) nonprofit educational foundation dedicated to promoting the geospatial intelligence tradecraft and developing a stronger GEOINT Community with government, industry, academia, professional organizations, and individuals who develop and apply geospatial intelligence to address national security challenges. USGIF achieves its mission through various programs and events and by building the community, advancing the tradecraft, and accelerating innovation.
- [github.com/ngageoint](https://github.com/ngageoint): National Geospatial-Intelligence Agency

## Publications

- [Trajectory](http://trajectorymagazine.com): *Trajectory* is the official publication of the United States Geospatial Intelligence Foundation (USGIF)—the nonprofit, educational organization supporting the geospatial intelligence tradecraft. Trajectory  provides high-level thought leadership for USGIF Members as well as for the defense, intelligence, homeland security communities, and the global GEOINT Community. Trajectory is the preeminent resource on issues of significance to all geospatial intelligence stakeholders. Our promise is to provide relevant, actionable content in a format that is compelling and engaging. Our mission is to foster knowledge sharing, awareness, and discussion.
- [GEOINT](http://geoint2017.com/): Geospatial intelligence, or GEOINT, is the exploitation and analysis of imagery and geospatial information to describe, assess, and visually depict physical features and geographically referenced activities on the Earth. GEOINT consists of imagery, imagery intelligence, and geospatial information.