geospatial
Geospatial calculator
A PHP extension providing geospatial functions for calculating distances and transformations between points on the Earth's surface.
PHP Extension to handle common geospatial functions.
61 stars
16 watching
18 forks
Language: C
last commit: about 2 months ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
mjaschen/phpgeo | A library providing abstractions for geographical coordinates and distance calculations. | 1,562 |
thephpleague/geotools | A PHP library for working with geographic coordinates and geodesic calculations | 1,373 |
nateabele/li3_geo | A geospatial extension for a PHP framework, enabling spatial queries and data storage across multiple databases. | 13 |
naqsha/naqsha | Provides fast and high-level access to various geospatial operations like distance calculations and azimuth. | 26 |
mwgg/greatcircle | A set of reusable functions for calculating distances and bearings between geographic locations | 78 |
d3/d3-geo | Provides tools and techniques for working with spherical geometry on maps | 1,031 |
sibartlett/geo | A comprehensive geospatial library for .NET, supporting various geometric and GPS data types. | 181 |
php-collective/decimal-object | A decimal value object that provides strict precision and scale handling for financial calculations. | 20 |
jblindsay/go-spatial | An open-source command-line tool for manipulating and analyzing geospatial data. | 63 |
eleven-lab/laravel-geo | GeoSpatial integration on Laravel 5.2+, supporting MySQL and PostgreSQL databases | 49 |
acgeospatial/julia_geospatial | Developing software tools and scripts for processing geospatial data using Julia and ArchGDAL. | 67 |
googlecloudplatform/dataflow-geobeam | An Apache Beam module for working with geospatial data in parallel on Google Cloud Platform | 85 |
bugra9/gdal3.js | Converts raster and vector geospatial data to various formats and coordinate systems using WebAssembly | 325 |
allenai/satlas | Provides high-quality AI-generated geospatial data by applying deep learning models to satellite imagery, enabling accurate and frequent mapping of the Earth's landmass. | 199 |
usdaforestservice/gdalraster | Provides an interface to the GDAL library for geospatial data manipulation and analysis in R. | 41 |