交互式制图和地理空间分析与Leafmap和Jupyter

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science Pub Date : 2021-11-02 DOI:10.1145/3486189.3490015

Qiusheng Wu

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引用次数: 1

摘要

Leafmap是一个Python包，用于在Jupyter环境中以最少的代码进行交互式映射和地理空间分析。它建立在几个开源软件包之上，比如ipy传单和开普勒。gl(用于创建交互式地图)、WhiteboxTools(用于分析地理空间数据)和ipywidgets(用于设计交互式图形用户界面)。Leafmap仅用一行代码就为加载和可视化地理空间数据提供了许多方便的函数。用户还可以使用交互式用户界面加载地理空间数据，而无需编码。任何有网络浏览器和互联网连接的人都可以使用leafmap以最少的编码在云中执行地理空间分析和数据可视化。本工作坊将介绍在Jupyter环境中使用leafmap进行互动绘图和地理空间分析的主要特性。与会者将学习如何利用开源Python包和免费云计算平台进行地理空间分析和数据可视化。

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Interactive mapping and geospatial analysis with Leafmap and Jupyter

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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Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science

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