Neil Curri serves as GIS Academic Computing Consultant to Vassar College and as an Adjunct Instructor in the Geography & Earth Science Department. Neil has taught Cartography: Making Maps with GIS (GEOG/ESCI 220) and GIS: Spatial Analyisis (GEOG/ESCI 224). In his consultant role, Neil provides GIS support and training to students and faculty from various academic and administrative departments in addition to Geography & Earth Science, including Anthropology, History, Urban Studies, Biology, Buildings & Grounds, Vassar College Ecological Preserve, and The Environmental Cooperative at Vassar Barns. He also collaborates with Computer Information Services (CIS) to manage hardware and software updates and troubleshooting in the GIS Lab and the SciVis lab.
Neil's skills include GIS mapping and cartography, spatial and statistical analysis, aerial and satellite imagery interpretation, GIS database development and data standards implementation, and GPS surveys. He specializes in environmental applications of GIS using ESRI software, and has authored and/or co-authored ecological studies in the Hudson Valley and elsewhere.
As GIS Analyst at a local environmental services firm, Neil brings his private sector experience and perspecitve performing Phase I Environmental Site Assessments, stormwater management and compliance, and mapping brownfields and other cantaminated sites to his work at Vassar.
Kelly, Victoria R., M.A. Cunningham, N. Curri, S.E. Findlay, S.E. Carroll. 2017. The distribution of road salt in private drinking water wells in a suburban township. Pending publication.
Findlay, S. E. G., D. L. Strayer, S. D. Smith & N. Curri. 2014. Magnitude and Patterns of Change in Submerged Aquatic Vegetation of the Tidal Freshwater Hudson River. Estuaries and Coasts. DOI: 10.1007/s12237-013-9758-1.
Cunningham, M.A., N. Curri, and R. Wills. 2010. Biological Resources and Biodiversity of Dutchess County, NY. In Natural Resource Inventory of Dutchess County, NY. Chapter 6.
Curri, N. 2006. Developing a soil erodibility analysis using the Universal Soil Loss Equation (USLE) to identify RTLA monitoring areas. Abstract and Presentation. ITAM Annual Workshop, Manhattan, KS. Northeast Arc Users Group Conference, Groton, CT.