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.
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 (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.
The purpose of this text is to promote understanding of the Geographic Information Science and Technology enterprise (GIS&T, also known as "geospatial").
This free Penn State textbook looks like a very interesting read 📖 for people interested in mapping.
Aerial images need to be transformed from perspective views into plan views before they can be used to trace the features that appear on topographic maps, or to digitize vector features in digital data sets. One way to accomplish the transformation is through stereoscopic viewing.
I am absolutely fascinated by the QGIS 3D Mapping feature and the neat maps I can produce with it. I finally figured out how to turn on the labels – it’s just a switch in the advanced section but now all the labels are at ground level and are most readable when the viewer is set due north.
Additionally, while raster maps are very fast in the 3D view the same can’t be said about complicated vector maps I often make up for hiking, especially with the labels turned on. Maybe I’ll have to export the 2D maps as georefrenced rasters then load them into a new project.
Another thing I discovered is that I can use both the state’s aerial photo and digital elevation model WMS feeds – at least when I have internet – with the 3D mapper to make beautiful, drone like shots. I only played with that briefly when I was at my parents house but I am planning on going to the library tomorrow to do more.