Spatial Analysis
Showing 14 of 50 projects
A Python package for exploring, modeling, and visualizing neighborhood and regional change over time using geospatial data.
A UC Berkeley course teaching urban data analysis, visualization, and mapping using Python and open-source tools for city planning.
A modular JavaScript toolkit for geographic data processing, format conversion, and spatial operations.
An R package for spatial and spatio-temporal geostatistical modeling, prediction, and simulation.
A comprehensive family of R packages for analyzing spatial point pattern data and other spatial data types.
A Python library for encoding spatial data into the TopoJSON format, reducing file sizes through topology computation and simplification.
A collection of ArcGIS tools for analyzing public transit data, including network analysis and real-time GTFS feed integration.
An Elixir library for calculating spatial relationships between geometries like points, lines, and polygons.
A pure Go implementation of the OpenGIS Simple Feature Access Specification for 2D geometry modeling and spatial algorithms.
An R package for reading, analyzing, and visualizing public transit data in GTFS format using tidyverse and sf.
A Python toolkit for simplifying street network geometry by converting transportation-focused representations to morphological centerlines.
A command-line tool for combining geospatial data across different spatial units using five statistical methods.
A Python toolbox for analyzing multiplexed imaging data, featuring segmentation, pixel/cell clustering, and spatial analysis.
An open-source framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using OpenStreetMap data.
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