A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
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Updated
May 16, 2024 - Python
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
A streamlit multipage app template for geospatial applications
A streamlit app template based on streamlit-option-menu
A collection of Jupyter notebooks for GEE Courses
Geo Assist is a spatial library to manage spatial data in-memory.
A Python package for installing optional dependencies for geemap and leafmap.
Leafmap for Jupyterlite
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A collection of Jupyter notebooks for geospatial applications
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GitHub workflows for building GDAL, geemap, leafmap, and other geospatial packages
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Visualizing the Maxar Open Data for the 2023 North India Floods (pre and post event images) on the split map using leafmap.
To analyze the COVID-19 situation in Japan and identify trends and insights using publicly available data, focusing on nonlinear regression and geographical analysis.
Streamlit app for visualizing and labeling COGs
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