Tools tagged with "Programming"

PROJ is a fundamental open-source library designed for performing cartographic projections and coordinate transformations. It provides essential functionalities for converting geospatial data between various coordinate reference systems, making it a critical component in many GIS and mapping applications. The library ensures accurate and reliable transformations for diverse geographical contexts.

This GitHub repository provides an unofficial Docker image for Photon, an open-source geocoding solution. Photon is designed for OpenStreetMap (OSM) data, offering features such as search-as-you-type and reverse geocoding capabilities. The Docker image enables local deployment, enhancing data privacy and integration with other services.

This GitHub repository features an extensive, community-driven compilation of geospatial tools and resources. It serves as a valuable hub for developers, researchers, and enthusiasts seeking various software, libraries, datasets, and educational materials in the geospatial domain. The list is continuously updated, reflecting the dynamic nature of the geospatial technology landscape.

MapTiler is a comprehensive mapping platform specifically engineered for developers. It offers a suite of tools to publish interactive maps across web and mobile applications, alongside services for map creation, customization, and data integration. The platform supports various map styles and provides location services, data hosting, and on-premise solutions.

Open3D is an open-source library designed for the rapid development of software involving 3D data. It provides a highly optimized backend for parallelization and exposes a curated set of data structures and algorithms in both C++ and Python. The library supports various 3D data processing tasks, including scene reconstruction, surface alignment, and advanced visualization with physically based rendering.

Cesium provides an end-to-end platform for streaming and visualizing massive 3D geospatial content. It leverages open standards and an open-source ecosystem to facilitate advanced 3D mapping and digital twin applications. The platform includes cloud services for tiling, hosting, and global 3D content.

rioxarray is an open-source Python library that extends xarray with geospatial capabilities, leveraging the power of rasterio. It simplifies working with georeferenced raster data, enabling users to efficiently read, write, and manipulate multi-dimensional geospatial arrays. This tool is ideal for data scientists and researchers handling large-scale imagery and raster datasets.

Laravel-Magellan is a robust PostGIS toolbox designed for Laravel applications. It provides comprehensive functionalities for integrating and managing geospatial data within a Laravel framework. This package simplifies common PostGIS operations, enabling developers to build powerful location-aware features.

geobr provides a user-friendly interface to access official spatial data sets of Brazil. It simplifies the process of downloading, reading, and organizing various geographic data for researchers and analysts. The package supports both R and Python environments, making it versatile for different programming preferences.

Who’s On First is a comprehensive gazetteer containing over 26 million records of places worldwide, ranging from continents to individual venues. Each entry features a stable identifier and a rich set of descriptive properties. The project offers its data in various formats, including GeoJSON and SQLite, and provides an API for programmatic access.

This R package provides tools to calculate multi-scale geomorphometric terrain attributes from regularly gridded digital elevation models (DEM) and bathymetry rasters. It utilizes a specified window approach as described in Ilich et al. (2023) to derive various terrain characteristics. The package extends classical formulations for analyzing terrain morphology.

This GitHub repository presents an "awesome list" dedicated to frontend geospatial development. It serves as a comprehensive collection of libraries, frameworks, tools, and learning materials for building web-based GIS applications. Developers can explore various resources to enhance their skills in creating interactive and data-rich mapping experiences.

Potree is an open-source WebGL-based point cloud viewer, enabling users to interactively explore extensive 3D point cloud datasets directly within a web browser. It provides a robust solution for visualizing remotely sensed data, supporting various applications from urban planning to environmental monitoring.

PDAL is an open-source C++ library and suite of applications designed for the translation and processing of point cloud data. It provides a common abstraction layer for various point cloud formats, enabling users to read, write, filter, and manipulate large geospatial datasets efficiently.

PostGIS is a powerful open-source extension for the PostgreSQL relational database, enabling it to manage and analyze spatial and geographic objects. It provides support for various spatial data types, including points, lines, and polygons, in both 2D and 3D. Users can leverage spatial indexing for efficient data retrieval and a comprehensive suite of spatial functions for advanced analysis and manipulation.

MDAL is an open-source Mesh Data Abstraction Library designed to handle and manage mesh data for various geospatial applications. It serves as a crucial component for interacting with unstructured, 3D layered, and 1D meshes, particularly within GIS software ecosystems. The project is recognized as an OSGeo Community Project, ensuring its commitment to open standards and collaborative development.

mappymatch is an open-source, pure-Python package designed for efficient map matching. It helps align GPS traces or other spatial trajectories to a digital road network, providing accurate location context for moving objects. Developed by NREL, this tool supports various geospatial analysis and transportation applications.

OpenLayers is a powerful, open-source JavaScript library designed to embed dynamic maps into any web page. It supports displaying map tiles, vector data, and markers from various sources, making it versatile for diverse geographic information needs. Released under the 2-clause BSD License, it provides a free and flexible solution for web mapping development.

s2geometry is a powerful open-source library developed by Google for performing computational geometry and spatial indexing on the surface of a sphere. It provides a robust framework for tasks such as proximity searches, geometric operations, and efficient storage of spherical data.

This platform is designed for managing and analyzing geospatial trajectory data efficiently. Built on top of PostgreSQL and PostGIS, it extends their capabilities to handle complex moving object data, enabling advanced spatiotemporal queries and analysis.

This ArcGIS Hub platform allows users to discover, analyze, and download a wide range of geospatial data. It supports various download formats, including CSV, KML, Zip, GeoJSON, GeoTIFF, and PNG. Users can also access data through API links for GeoServices, WMS, and WFS.

libpostal is a C library that leverages statistical Natural Language Processing (NLP) and open geospatial data to parse and normalize street addresses from around the world. It converts free-form human addresses into clean, machine-comparable formats, serving as a crucial preprocessing step for geocoding applications.

geodiff is a powerful open-source library designed to compare two geospatial datasets and generate change sets, or 'diffs'. It supports various data formats including GeoPackage files, PostGIS, SQLite, and PostgreSQL databases. The library allows users to apply these generated diffs to update existing datasets, making it an essential tool for managing changes in spatial data.

async-tiff is an open-source library designed for asynchronously reading TIFF files, specifically catering to geospatial applications. It provides robust capabilities for handling large TIFF datasets efficiently in both Rust and Python environments, making it suitable for modern data processing workflows. This project facilitates the integration of TIFF data into high-performance computing and cloud-native architectures.

F´ (F Prime) is an open-source flight software and embedded systems framework created by NASA. It provides a component-based architecture designed for building robust and reusable software applications for spacecraft and other critical embedded systems, facilitating efficient development and deployment.

point-cloud-utils is a Python library designed for efficient processing and manipulation of 3D point clouds and meshes. It offers a straightforward interface for common operations, making it accessible for developers and researchers working with 3D geospatial data. The library aims to simplify complex tasks related to 3D data handling.

This open-source software library provides highly efficient and precise capabilities for performing zonal statistics on raster data. It is designed to extract aggregated information from raster datasets based on defined polygonal zones, offering critical functionality for various geospatial analyses.

GeoServer is an open source server designed for sharing geospatial data. It enables interoperability by publishing data from any major spatial data source using open standards.

GNSS-SDR is an open-source software-defined receiver capable of processing various Global Navigation Satellite System (GNSS) signals. It performs essential functions such as signal detection, synchronization, demodulation, decoding of navigation messages, computation of observables, and ultimately, position fixes. The software supports a wide array of radio frequency front-ends and raw sample file formats, generating outputs in standard formats.

Esri's free massive open online courses are available year-round, typically lasting four to six weeks. These courses cover essential geospatial topics such as spatial analysis, spatial data science, imagery analysis, and location analytics. Participants can also learn no-coding methods for building and sharing ArcGIS applications.

This API enables users to convert human-readable location text into geographic coordinates (forward geocoding) and transform geographic coordinates into descriptive place names (reverse geocoding). It supports various geographic feature types for granular location searches and contextual information.

Learn the latest GIS technology through free live training seminars, self-paced courses, or classes taught by Esri experts. Resources are available for professionals, educators, and students.

uMap is a free and open-source software project enabling users to quickly build custom maps utilizing OpenStreetMap's background layers. It offers a user-friendly graphical interface, eliminating the need for coding, and supports collaborative map creation. Maintained by a community of contributors, uMap provides a robust tool for integrating interactive maps onto personal websites.

This blog, maintained by Robin Wilson, serves as a valuable resource for discovering interesting links and discussions within the geospatial and GIS community. It frequently highlights new open datasets, web mapping libraries, command-line tools, and developments in spatio-temporal asset catalogs (STAC). The content often delves into technical aspects of databases, programming, and open-source software.

This online book serves as an introduction to geographic data science using the R programming language. It is designed as a companion for a university module, focusing on core programming, data wrangling, statistical analysis, and machine learning techniques for geographers. The resource emphasizes R's versatility as a free and open-source tool for spatial data processing and geographic information analysis.

Terracotta is an open-source XYZ tile server designed for serving raster data efficiently. It leverages Flask for the web framework and Rasterio for robust geospatial data processing, making it suitable for a wide range of web-mapping applications. This tool provides a straightforward way to turn your geospatial rasters into web-ready tiles.