24 skills found
apache / SedonaA cluster computing framework for processing large-scale geospatial data
apache / Sedona DbA single-node analytical database engine with geospatial as a first-class citizen
drotiro / PostpicPostPic is an extension for the open source dbms PostgreSQL that enables image processing inside the database, like PostGIS does for spatial data. It adds the new 'image' type to the SQL, and several functions to process images and to extract their attributes.
microsoft / SQLServerSpatialToolsThis project is a collection of tools for use with the spatial types in SQL Server. This project does not provide an end-user application, but rather a set of reusable functions which applications can make use of. These functions may include data conversion routines, new transformations, aggregates, etc. Please feel free to suggest additional functionality. This project is sponsored by Microsoft, but we welcome outside developers.
ucdavisdatalab / Spatial SQLA introductory workshop on Spatial SQL
apache / Sedona SpatialbenchA benchmark for assessing geospatial SQL analytics query performance across database systems
Apress / Pro Spatial W Sql Server 2012Source code for 'Pro Spatial with SQL Server 2012' by Alastair Aitchison
dr-jts / JeqlA SQL-esque scripting language for spatial processing and ETL
smonkewitz / ScisqlScience-specific tools and extensions for SQL. Currently the project contains user defined functions (UDFs) for MySQL including spatial geometry, astronomy specific functions and mathematical functions. The project was motivated by the needs of the Large Synoptic Survey Telescope (LSST).
bspauld / SpatialSQLfortheGeographerSample data and scripts using Microsoft spatial SQL
krandalf75 / MySQL Spatial UDFMySQL Spatial User Defined Functions
cliffpat / Spatial Sql Isnt ScarySQL queries used for my webinar, Spatial SQL Isn't Scary
Caltech-IPAC / ADQLPython utility for converting ADQL to local SQL, including generic spatial indexing.
gouldju1 / Honr39900 Foundations Of Geospatial AnalyticsMaps are everywhere around us: in our cars, on our phones, and driving public health initiatives. Geospatial skills and knowledge are increasingly sought after in industry, and will continue to prove vital to Data Science. You will learn how to create maps and analyze spatial data using Python and SQL, how spatial data are applied in a variety of domains, and have hands-on experiences with real data. Together, we will answer questions such as: (1) what are maps, (2) how can we create maps from data, (3) and how do we quantify and analyze maps. Applied geospatial projects will include: autonomous vehicles, public health, supply chain, and more.
mgamzec / Spatial SQLSpatial SQL Isn't Scary
geopaparazzi / Spatialite Tasks With Sql ScriptsSpatialite - usage of Sql-Scripts for everyday Tasks
PacktPublishing / Learning The FOSS4g Stack Spatial SQL With Postgres PostGISCode Repository for Learning the FOSS4g Stack: Spatial SQL with Postgres/PostGIS, Published by Packt
d-markey / Azure CosmosdbConnector for Azure Cosmos DB on Dart and Flutter platforms. Supports Cosmos DB SQL API, indexing policies, users, permissions, spatial types, batch operations, and hierarchical partition keys (experimental/preview).
alikhosravi / Spatial Text To SQLThe repository is generated to host the data and codes for a research work on spatial Text-to-SQL
dkakkar / Geospatial Data Management With PostGISThe widely used geospatial relational database PostGIS, will be introduced. Installation and configuration of PostGIS on an Amazon instance will be covered followed by spatial data loading, the use of Spatial SQL for spatial analysis, and export of results. The use of QGIS as a PostGIS query and visualization client will also be covered.
