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A collection of Jupyter Notebook examples for visualizing #geospatial data, including raster (COG, STAC), vector (GeoParquet, PMTiles, GeoJSON, Shapefile, GeoPackage, etc.), and LiDAR data. Raster: Vector: LiDAR: #dataviz #lidar #cog #geopython

Qiusheng Wu

50,722 subscribers

56,713 次观看 • 2 年前 •via X (Twitter)

科学技术教育艺术 #geospatial

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3 条评论

Col Collins 的头像

Col Collins2 年前

This is amazing!

Mario Luna 的头像

Mario Luna2 年前

😮😮😮👍🏽👍🏽👍🏽 thanks for sharing

mambri86🪂🔻 🧯💨🕎 的头像

mambri86🪂🔻 🧯💨🕎2 年前

Hi @giswqs amazing works, can you give tutorial on how to access and download overture maps global data

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Introducing anymap-ts: a new Python package that makes geospatial visualization easy! Built on MapLibre + TypeScript, anymap-ts brings the same rich mapping experience to both the web and Jupyter Notebook. It supports many popular geospatial formats, including GeoJSON, GeoParquet, FlatGeobuf, PMTiles, COG, Zarr, COPC LiDAR, and Gaussian Splat. It also includes powerful built-in UI components such as a minimap, bookmarks, print tool, view state manager, STAC search, street view, and geometry editor. Try it out: Web demo: Jupyter demo: GitHub: Documentation: Video tutorial: #mapping #maplibre #typescript #jupyter #python

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Qiusheng Wu

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🚀 Visualize Geospatial Data Instantly from the Command Line! You can now interactively explore raster and vector datasets without opening a desktop GIS or Jupyter Notebook. Simply run: pip install "leafmap[viewer]" Then visualize your data with one line: view-raster /path/to/raster.tif view-vector /path/to/vector.geojson Customize your visualization easily: view-raster /path/to/raster.tif --band 1 --colormap coolwarm view-vector /path/to/vector.geojson --style liberty These CLI tools are powered by Leafmap, MapLibre, and LocalTileserver, supporting all geospatial formats compatible with rasterio and geopandas. 👉 Check it out: #geospatial #datascience #mapping #python

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GeoLibre v0.5.0 is out! This update significantly expands data format support, making it easier to work with a wide range of geospatial datasets in a lightweight, modern GIS environment. Newly supported formats and services include: GeoJSON, Shapefile, GeoPackage, GeoParquet, KML/KMZ, FlatGeobuf, PMTiles MBTiles, GeoTIFF, Zarr, LiDAR point clouds, Gaussian Splatting, and ArcGIS services. GeoLibre is a lightweight, cloud-native GIS built with MapLibre and Tauri. It runs directly in the browser and is also available as a standalone cross-platform desktop application at only ~30 MB. GitHub: Website: Live demo: Feedback, ideas, and contributions are welcome. #geospatial #opensource #maplibre

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18,310 次观看 • 10 天前

Beautiful new raster data layers are now available on Google Earth’s intuitive, no-code canvas. 🗺️👉 With the analytical power of Google Earth Engine directly integrated into Google Earth, geospatial analysis is as easy as point and click. Rolling out over the coming days, you will have access to ten new raster layers from Earth Engine's iconic data catalog, including: • Slope • Aspect • Land cover • and more It's never been easier to quickly combine raster data, vector data, imagery, and your own data to save time and make better decisions. Explore these new data layers, now.

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How to convert raster image to vector shape

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12,732 次观看 • 2 年前

So fun to work on, and so happy to be a part of this project! Here is my tip about raster/vector backgrounds!!

So fun to work on, and so happy to be a part of this project! Here is my tip about raster/vector backgrounds!!

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40,669 次观看 • 5 个月前

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12,809 次观看 • 8 个月前

Imagine turning any image into a vector (now you actually can) → Convert raster images into editable vectors → Simplify and control color output

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5,667,290 次观看 • 4 个月前

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56,082 次观看 • 4 个月前

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24,188 次观看 • 2 年前

This is going to change Data Analytics! A Dashboard UI inside the Jupyter Notebook which makes Visualizing Easy! Using just one line of code and is easy to deploy as well!

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92,179 次观看 • 2 年前