Interactive mapping and geospatial analysis with Leafmap and Jupyter

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Abstract

Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is built upon several open-source packages, such as ipyleaflet and kepler.gl (for creating interactive maps), WhiteboxTools (for analyzing geospatial data), and ipywidgets (for designing interactive graphical user interface). Leafmap provides many convenient functions for loading and visualizing geospatial data with only one line of code. Users can also use the interactive user interface to load geospatial data without coding. Anyone with a web browser and Internet connection can use leafmap to perform geospatial analysis and data visualization in the cloud with minimal coding. This workshop will introduce the key features of leafmap for interactive mapping and geospatial analysis in a Jupyter environment. Attendees will learn how to leverage open-source Python packages and free cloud computing platforms for geospatial analysis and data visualization.

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APA

Wu, Q. (2021). Interactive mapping and geospatial analysis with Leafmap and Jupyter. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, SpatialAPI 2021 - In conjunction with the 29th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2021. Association for Computing Machinery, Inc. https://doi.org/10.1145/3486189.3490015

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