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Original file line number | Diff line number | Diff line change |
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Panel app | ||
========= | ||
SEPAL leafmap | ||
============= | ||
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.. warning:: | ||
.. note:: | ||
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The english documentation of the module have not been set. | ||
This application is providing access to the leafmap Pyhton librairy within as an application. | ||
Please check the `leafmap website <https://leafmap.org/>` for more informations. The authors have published there many examples and video tutorials. | ||
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.. tip:: | ||
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Please open an issue on their repository : https://github.com/12rambau/sepal-leafmap/issues/new | ||
Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. Leafmap is built upon several open-source packages, such as folium and ipyleaflet (for creating interactive maps), WhiteboxTools and whiteboxgui (for analyzing geospatial data), and ipywidgets (for designing interactive graphical user interfaces [GUIs]). Leafmap has a toolset with various interactive tools that allow users to load vector and raster data onto the map without coding. In addition, users can use the powerful analytical backend (i.e., WhiteboxTools) to perform geospatial analysis directly within the leafmap user interface without writing a single line of code. The WhiteboxTools library currently contains 500+ tools for advanced geospatial analysis, such as GIS Analysis, Geomorphometric Analysis, Hydrological Analysis, LiDAR Data Analysis, Mathematical and Statistical Analysis, and Stream Network Analysis. |
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