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Grammar of Graphics for Kotlin
The main features of jetbrains/lets-plot-kotlin are: Kotlin Geospatial Libraries, Visualization and Mapping.
Projects with overlapping indexed features include: leaflet/leaflet.markercluster — This project is a marker clustering plugin and map visualization tool for Leaflet. It functions as a grouping library… giswqs/geemap — geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery… giswqs/leafmap — A Python package for geospatial analysis and interactive mapping in a Jupyter environment. juliaplots/geomakie.jl. mapbox/mapboxgl-jupyter — Use Mapbox GL JS to visualize data in a Python Jupyter notebook. pszufe/openstreetmapxplot.jl.
This project is a marker clustering plugin and map visualization tool for Leaflet. It functions as a grouping library that organizes large datasets of geographic points into clusters to reduce visual clutter and improve browser performance and readability. The library includes a marker manager that arranges overlapping points in a radial layout, ensuring individual markers sharing the same coordinates remain visually distinct and clickable. It provides capabilities for custom group iconography, geographic boundary previews for marker groups, and automated zoom adjustments to fit the bounds o
A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery analysis using Google Earth Engine data and cloud computing. It provides a mapping tool for displaying geospatial datasets within Jupyter notebooks and a suite of tools for classifying imagery and calculating zonal statistics. The project includes a utility to convert geospatial analysis scripts from JavaScript into Python code to facilitate data manipulation. It also enables the generation of timelapse animations and time-series visualizations from satellite imagery catalogs. The