Tools tagged with "Data Analysis"

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

GoldenEye provides a unified interface for geospatial vision-language models, enabling rapid deployment with minimal code.

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.

Learn to process and visualize point cloud data efficiently using QGIS's native tools and the powerful PDAL wrench.

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

Transforming Earth Observation Data into Insights for Africa's Sustainable Growth.

This Python package automatically generates high-resolution river relative elevation models (REM) and visualizations from digital elevation models.

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.

This online course provides hands-on experience with diverse QGIS tools for comprehensive hydrological analysis.

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.

A Python package that extends Google Earth Engine with pre-processing and processing tools for satellite platforms.

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.

This open-source 3D tool generates Digital Surface Models from satellite imagery using advanced photogrammetry techniques.

Track real-time and historical electricity data worldwide, including production mix, CO2 emissions, and prices.

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

A robust open-source Python package for comprehensive analysis of digital elevation models.

Provides free open-source solutions for comprehensive forest and land monitoring globally.

Explore hundreds of global transit networks and track vehicles in real-time with Catenary Maps.

A Python library for reading, visualizing, and performing calculations with weather data.

FIAtools offers an open-source Python ecosystem for comprehensive USDA Forest Service FIA data analysis, from raw plots to growth projections.

A free, user-friendly, and extendable application for processing drone imagery into maps, 3D models, and more.

An open book about algorithms and methodologies to reconstruct, manipulate, and extract information from terrains.

Create interactive, map-based stories by combining geographical data with multimedia content.

This platform offers a searchable and visual interface for the Geographic Information Science & Technology Body of Knowledge.

This course provides essential Machine Learning skills tailored for Earth Observation research.

This course introduces geographic data analysis using the Python programming language through interactive lessons and hands-on exercises.

An open-source routing engine designed for use with OpenStreetMap data.

A Python library for reading, writing, displaying, and processing complex SAR data using the NGA SICD standard.