NYS_Tax_Parcels_Public (MapServer)

NYS_Tax_Parcels_Public (MapServer)

Thanks to the following counties that specifically authorized the GPO to share their GIS tax parcel data with the public: Cayuga, Chautauqua, Cortland, Erie, Genesee, Greene, Hamilton, Lewis, NYC- Bronx, NYC- Kings (Brooklyn), NYC- New York (Manhattan), NYC- Queens, NYC- Richmond (Staten Island), Ontario, Orange, Oswego, Putnam, Rensselaer, Rockland, Sullivan, Tioga, Tompkins, Ulster, Warren, and Westchester.

Formal Education

Reading the Nature of Geographic Information textbook reminds me of both the pros and cons of formal education…

  • PRO – Teaches you orderly, structured ways of thinking about a topic using scientific jargon and ways to avoid mistakes
  • CON – Doesn’t really teach you much how to do things, only how to think about things in an ordered way that can avoid mistakes or sloppiness

LeafletJS

I switched the blog over to LeafletJS maps and Open Street Map from Google Maps today. πŸ—Ί

While the Google API was convenient, I always worried about getting a flood of blog traffic at some point and having to pay for excess map requests – which is one of the reasons I’ve been doing fewer Google Maps recently.

The nice thing about LeafletJS is that it is entirely agnostic about tile provider – you can use any basemap or even locally served ones. The API is a lot more flexible, with more plugins and options – and let’s be honest, Open Street Map is nearly as good if not better than Google Maps.

I am removing the Google Maps terminology over time in favor of genericitized KML terms because Google Maps says in their license agreements that your only supposed to use their corporate name when using their mapping software, to refer to use to their service.

Structure from motion – Wikipedia

Structure from motion – Wikipedia

Structure from motion (SfM)[ is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensional image sequences that may be coupled with local motion signals. It is studied in the fields of computer vision and visual perception. In biological vision, SfM refers to the phenomenon by which humans (and other living creatures) can recover 3D structure from the projected 2D (retinal) motion field of a moving object or scene.