Skip to content


image image image

  1. Introducing the leafmap Python package for interactive mapping (video | gif | notebook)
  2. Using basemaps in leafmap (video | gif | notebook)
  3. Using Cloud Optimized GeoTIFF (COG) and SpatioTemporal Asset Catalog (STAC) (notebook)
  4. Creating a virtual mosaic of Cloud Optimized GeoTIFFs (COG) (notebook)
  5. Loading local raster datasets with leafmap (notebook)
  6. Adding custom legends to the map (notebook)
  7. Adding custom colorbars to the map (notebook)
  8. Using WhiteboxTools with leafmap (notebook)
  9. Converting CSV to points (notebook)
  10. Adding local vector data (e.g., shp, geojson, kml) to the map (notebook)
  11. Creating linked maps for visualizing multiple maps simultaneously (notebook)
  12. Creating a split-panel map with only one line of code (notebook)
  13. Adding a GeoPandas GeoDataFrame to the map with a single line of code (notebook)
  14. Adding data from a PostGIS database to the map (notebook)
  15. Downloading OpenStreetMap data with a single line of code (notebook)
  16. Using HERE Map Widget for Jupyter as a plotting backend (notebook)
  17. Adding vector tile layers to the map (notebook)
  18. Adding a point layer with popup attributes to the map (notebook)
  19. Saving maps as a html file (notebook)
  20. Adding Planet global monthly and quarterly mosaic (notebook)
  21. Using timeseries inspector with a single click (notebook)
  22. Using time slider for visualizing timeseries images (notebook)
  23. Creating colormaps with a single line of code (notebook)
  24. Creating heat map from csv (notebook)
  25. Creating a population heat map with a colorbar and map title (notebook)
  26. Creating an interactive map using the plotting backend (notebook)
  27. Creating a basemap gallery (notebook)
  28. Publishing maps with a single line of code (notebook)
  29. Using the pydeck plotting backend (notebook)
  30. Using U.S. Census data (notebook)
  31. Searching basemaps with xyzservices (notebook)
  32. Loading local raster datasets and Cloud Optimized GeoTIFF (COG) (notebook)
  33. Adding image overlay to the map (notebook)
  34. Adding points from xy data (e.g., CSV, Pandas DataFrame) (notebook)
  35. Adding circle markers from xy data (e.g., CSV, Pandas DataFrame) (notebook)
  36. Adding labels to the map (notebook)
  37. Adding Planetary Computer STAC item to the map (notebook)
  38. Using the plotly plotting backend (notebook)
  39. Getting pixel values using the Inspector tool (notebook)
  40. Using the interactive plotly toolbar GUI (notebook)
  41. Loading COG/STAC items using the raster GUI (notebook)
  42. Creating Cloud Optimized GeoTIFF (COG) (notebook)
  43. Searching for locations and features in vector data (notebook)
  44. Opening vector data attribute table without coding (notebook)
  45. Creating vector data interactively without coding (notebook)
  46. Editing existing vector data interactively without coding (notebook)
  47. Converting numpy array to COG (notebook)
  48. Visualizing LiDAR data in 3D with only one line of code (notebook)
  49. Creating a split-panel map with folium (notebook)
  50. Creating a marker cluster with custom icons (notebook)
  51. Clipping an image by mask (notebook)
  52. Visualizing NetCDF data (notebook)
  53. Creating choropleth maps with a variety of classification schemes (notebook)


Last update: 2022-04-27