Tools tagged with "Programming"

This community extension integrates DuckDB with Google BigQuery, enabling direct SQL querying and management of datasets.

A comprehensive guide to managing geospatial data efficiently using DuckDB.

This book provides a comprehensive guide for practitioners to acquire, wrangle, visualize, and model US Census data using the R programming language.

A comprehensive workshop providing materials and guidance for learning PostGIS, the spatial extension for PostgreSQL.

Learn scientific programming, reproducible open science workflows and data science today.

A practical guide to integrating artificial intelligence and machine learning with open-source geospatial tools using Python.

A comprehensive collection of tutorials for working with geospatial raster and vector data using GDAL.

A comprehensive guide to performing spatial analysis and GIS operations using the R programming language.

A Rust-powered vector tile engine for R and Python, creating efficient .pmtiles files from various data sources.

A practical guide to mastering GIS programming using Python and open-source geospatial tools.

Learn spatial data analysis and GIS fundamentals using the R programming language.

Elevate data storytelling skills through interactive, geospatial, and narrative data visualization techniques.

GeoPandas-AI turns GeoDataFrames into a conversational, intelligent assistant for geospatial data analysis.

Dive into geostatistics with practical skills in spatial data analysis and modeling.

This resource guides users in analyzing, visualizing, and modeling geographic data using R and open-source software.

A universal Python package for regridding geospatial data, supporting various methods and curvilinear grids.

A browser-based visualization framework for exploring and analyzing Zarr and NetCDF datasets.

Rapid Realistic Routing with R5 in Python.

A collection of beautifully designed, accessible, and customizable map components for React developers.

This Python library converts diverse geospatial datasets into graph structures for advanced GNN and spatial analysis.

A blog providing updates and technical insights related to geospatial code and news.

This course teaches fundamental programming and scientific data analysis using Python, tailored for geospatial applications.

A coordinated effort to simplify browser-based data visualization in Python.

An R package for comprehensive analysis of landscape fragmentation and connectivity in conservation planning.

A fast and scalable Python library for raster-based spatial analytics.

A map-first STAC search and visualization tool, offering robust support for stac-geoparquet data.

Provides current news and updates on developments within the geospatial industry.

An R package for tidy geospatial network analysis, integrating tidygraph and sf functionalities.

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

wk offers lightweight R, C, and C++ infrastructure for parsing and iterating over well-known geometry formats.

gdalraster provides R language bindings to the powerful Geospatial Data Abstraction Library (GDAL) for raster and vector data processing.

OCWGIS provides free and open online courses for individuals to learn and enhance their skills in Geographic Information Systems.

This course offers a gentle introduction to Python programming, specifically tailored for spatial data analysis.

An immersive online course for developing open-source Python packages for geospatial analysis and interactive mapping.

An open-source SDK designed for logging, storing, querying, and visualizing diverse multimodal and multi-rate data streams.

A structured introduction to XArray, STAC, and Dask for cloud-based remote sensing applications.