Geospatial Analysis
Showing 24 of 24 projects
A WebGL2/WebGPU-powered framework for high-performance, large-scale data visualization in the browser.
A powerful open-source web application for visual exploration and analysis of large-scale geospatial data sets.
A Python package to download, model, analyze, and visualize street networks and geospatial data from OpenStreetMap.
A curated list of open-source geospatial analysis tools, libraries, and resources across multiple programming languages and domains.
A Python library that extends pandas to work with geographic data, enabling spatial operations and analysis.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in Jupyter notebooks.
An open-source Python library for geospatial data science with tools for spatial analysis, modeling, and visualization.
A free and open-source computational engine for raster, vector, and geospatial processing with a built-in temporal framework.
An R binding package for calling Google Earth Engine API from within R, integrating with the R spatial ecosystem.
A Python package for visualizing and processing 2D/3D point clouds with interactive rendering and parallelized queries.
A web-based platform for data analysis and visualization with support for multiple data sources and interactive dashboards.
A Python package for exploring, modeling, and visualizing neighborhood and regional change over time using geospatial data.
An R package for rapid realistic routing on multimodal transport networks (walk, bike, public transport, car) using the Conveyal R5 engine.
A Python library for modeling pedestrian and bicycle trips and accessibility on urban networks using scalable network analysis.
A comprehensive family of R packages for analyzing spatial point pattern data and other spatial data types.
A pure Dart geospatial analysis library for working with GeoJSON data, inspired by Turf.js.
R package providing classes and methods for handling and analyzing spatio-temporal data.
Open-source data and code for analyzing zoning and land use regulations across the United States.
A Python library that processes GTFS bus data to generate concise stop spacing segments and visualizations for transit analysis.
An R package providing tools for editing, analyzing, and validating transit feeds in GTFS format.
A JavaScript library for statistical data classification and discretization, primarily for creating choropleth maps.
Compiles and analyzes bus and light rail speed, reliability, and ridership data from multiple sources for transportation insights.
A web-based tool for visualizing, analyzing, and reporting on Oregon's regional and statewide transit networks.
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