We’ve put together a GIS workhsop series starting this week Wednesday 5/25 and running just about every Wednesday through early August.
The workshops focus on both core GIS skills such as understanding coordinate systems & projections, georeferencing and geocoding and a couple workshops focusing on Model Builder, ArcPy, Google Earth Pro and working with KML.
NYPL has a new toy tool for rectifying digitized historic maps from their collection called the NYPL Map Rectifier.
After creating an account, browse through the various maps and collections, choose a map to rectify, clip or mask the image, and finally export out to either a KML (for Google Earth) or a WMS base URL for use in a GIS software. Some maps have the option to export into either PNG or TIF formats as well.
There is also a vectorize option for a few of the rectified maps (I didn’t see this option on most maps, I’m guessing because it’s still in beta). For these, the vector layers can be downloaded in several formats including shapefile.
NYPL has also created a site called Relief Map Warper and has uploaded maps for Haiti which after georeferencing, the maps will become available in Open Street Map for tracing, and also made available for use on the ground by relief workers. I highly recommend joining and helping out if you can.
This Friday we will be conducting a new GIS workshop in the EDS lab Digitizing, Georeferencing and Creating New Spatial Layers. This will be an ArcMap-centric introduction to creating new spatial data layers from paper and other sources with an emphasis on hands-on exercises in georeferencing and digitizing. Some familiarity with ArcMap is required. The workshop will be at 10:30-12:30 April 10 in 215 Lehman Library, register through the GIS Workshops page.
There are two speakers, the first will talk about computer modeling and statistical research on Portolan Charts of the Mediterranean Sea from 1250 – 1600, and the second will talk about spatial software tools available for data analysis.
We have created a layer that serves as an index to the growing scanned map collection from the Lehman library. The index is available in shapefile format and can be freely downloaded, the metadata record is available in the CU Spatial Data Catalog.
Each feature represents the approximate extent of a map sheet or map set. Attribute information includes the name of the map, a URL to the metadata record in the CUL Spatial Data catalog and a URL to a thumbnail detail of the map. This dataset will be updated regularly.