5 New Ways to View Transit

If you work with transit data, you might want to take a look at the following blog post.  Some great suggestions:

  • Use services areas around transit stops instead of buffers around transit lines
  • Incorporate frequency, like trips made per hour
  • Consider travel time between places throughout the day
  • Factor in transit frequency
  • Incorporate demographic data to find what groups are underserved by transit or have a high level of need for better access to certain types of destinations

Check it out.

Spatial Data Analysis with Python

Looking to get into Python for spatial data analysis?  Check out this online video.  The video notes state you will learn about geoprocessing, analyzing and visualizing spatial data using Python and how it compares to other available options such as desktop GIS options (ArcMap or QGIS) or R. The talk will introduce various Python projects such as PySAL, GeoPandas, and Rasterio, and give attendees a starting place for independently exploring and learning geoprocessing skills using Python.

Slides for the video can be found here.

Strip Map of the Father of Waters

I have always liked strip maps.  They go from one point to the other, maybe traversing a very long distance.  The paper map can be very long and show a lot of stuff along the way.  It’s like going on a trip without leaving your chair.

Here is an interesting 1866 strip map of the Mississippi River, allowing you to see the Father of Waters all at once.  It was made for the steamboat traveler at the time and rolled up into a spool.  Check it out and the history behind it.

The Art of Illustrated Maps

If you are interested in illustrated conceptual maps, want to learn more about creative cartography, or want to see examples from illustrators around the world, The Art of Illustrated Maps by John Roman might be interesting to you. This is the first book ever to fully explore the fascinating world of illustrated conceptual maps.  Check it out!