LiDAR, Insights for ArcGIS, Survey123, Web AppBuilder, and More NYU Data Services is hosting a two-day Esri geospatial data workshop series. The workshops will cover LiDAR processing and 3D modeling using Esri’s ArcGIS platform, and three Esri apps: Insights for ArcGIS for data visualization and analytics, Survey123 for field data capture, and Web AppBuilder for […]
Highly detailed LiDAR data about Dublin, Ireland, collected by NYU professor Debra F. Laefer and stored as part of NYU Data Services’ Spatial Data Repository is featured in the “Explore” pages of the February 2018 issue of National Geographic. This data represents the highest-resolution mapping of a densely populated urban area ever collected. This Technology […]
Research data management has received attention given new guidelines regarding access and sharing of funded data creation.
Ask the average person what lines the streets of New York City, and the likeliest response will be buildings. Nestled at the foot of the city’s brownstones, skyscrapers, and towers, however, are the city’s street trees.
Many NYU students and faculty currently use GIS. Cultural history classes analyze the migration patterns of New York’s immigrant groups, marine biology classes record soil and water samples, and classes in public health compare the epidemiology of infectious diseases.
Geographic information systems (GIS) allow us to take spatial data from various sources, overlay map layers, analyze and model the data, and visualize the results in maps, reports, and charts. As a research institution, NYU has a growing community that is using GIS to gain new insights in a wide range of fields.
As NYU aspires to become a Global Network University, it faces challenges. How can we best offer advanced courses in the sciences at our global sites? How can we bridge the gap between instruction and research? How do we develop courses that relate to the specific locations yet have a global scope?
The GIS services at the DSS support teaching, learning, and research with geospatial technology across the University. The Spatial Data Repository (SDR) is a welcome addition to the GIS services long provided by the Data Service Studio.