This guide provides a centralized link to data and resources available to University of Arizona faculty, staff, and students, as well as for the public. If you have any questions or special request for data, help with your GIS, or maps please use the contact links for library personnel on the left side of the page.
The UA Libraries will again be holding open hours in the iSpace on Wednesdays from 9am to 11am all semester. Need help finding geospatial data? Have questions about software or techniques? Stop on by to get help with GIS work or even just learn about new concepts and tools to help you in research, teaching, or learning. On some Wednesdays we’ll also have demonstration or workshop on a tool or concept. There will be coffee.
iSpace - Science and Engineering Library, Room 212: https://maps.arizona.edu/room/?room=0212&bldg=0054.00
Redditor user upvoteanthology_ posted this map portraying new American states as composed of the population equivalents of Canadian states. An interesting map with some fun facts sprinkled about.
Original post here
Hankui Zhang at South Dakota State University has developed and made available a new Land-Use/Land-Cover Classification approach combining Landsat and MODIS data that reports classification accuracy up to 95%. By combining 3 years of datasets and two random forest classifiers, Zhangs approach groups landcovers type into 16 distinctive classes. More info and instructions on accessing the algrothim at GISLounge here:
In line with his efforts to document federal gis servers (here), Joseph Elfelt with mappingsupport.com is also building a list of publicly accessible state GIS servers that are not easily found or accessed. Available in a pdf here:
Luca Congedo has launched version 6 Semi-Automatic Classification Plugin (SCP) for QGIS 3.0 as part of his PhD research.
Joseph Elfelt with mappingsupport.com gathered a list of more than 50 publicly accessible GIS servers not easily accessible and published them in a pdf report. Note that these are not services that can be easily found on data.gov.