At Ryerson University (in Toronto, Canada) social science data collection and service began in 1997. The data librarian was also the map librarian, so geospatial/GIS data became her responsibility as well. Data services (including geospatial data) to faculty and students have developed from the past (1997-2003: when they were Library centred, low profile, minimum resources for staff, equipment or computers) to the present (2003-2006: where they are university centred with a Geospatial, Map and Data Centre, full time technician, server space and Web delivery of some data) to the future (2006-200?: where they will hopefully be provincially centred, with the possibility of centrally archived and networked delivery of social science and geospatial data to Ontario universities). Techniques used at Ryerson to give data services sufficient profile to attract funding, and future scenarios being considered by the Ontario universities Data and Map librarians' groups for province wide delivery, will be examined.

Feature layer generated from running the Summarize Within solution. Minneapolis Coffee Shops were summarized within Minneapolis Neighborhoods

Feature layer generated from running the Summarize Within solution. Minneapolis Coffee Shops were summarized within Buffer_of_Minneapolis_Parks_0_25_miles_Ryerson_2023

Feature layer generated from running the Enrich layer solution. Minneapolis Neighborhoods were enriched

Feature layer generated from running the Buffer Features solution. Input from Minneapolis Parks were buffered by [0.25] Miles

This raster layer contains land cover change information, derived from LCMS (Land Change Monitoring System) for the Tongass National Forest to provide up-to-date and more complete information about vegetative communities, structure, and patterns across the Forest. The Central Tongass project area encompasses over 3.7 million acres that were mapped through a partnership between the Geospatial Office (GO), Tongass National Forest, and the Alaska Regional Office. The Tongass National Forest and their partners prepared the regional classification system, identified the desired map units (map classes) and provided general project guidance. GO provided project support and expertise in vegetation mapping.The modeling units (mapping polygons) were characterized with the following vegetation attributes: 1) map group, 2) vegetation type, 3) tree canopy cover percent, 4) tree canopy cover class, 5) tree size class, 6) change percent, 7) change year, 8) biomass for trees ≥ 2” dbh, 9) crown competition factor, 10) gross board feet (GBF) for trees ≥ 9” dbh, 11) quadratic mean diameter (QMD) for trees ≥ 2” dbh, 12) quadratic mean diameter for trees ≥ 9” dbh, 13) rumple index, 14) stand density index (SDI) for trees ≥ 9” dbh, 15) trees per acre (TPA) for trees ≥ 1’ tall, 16) trees per acre for trees ≥ 6” diameter at breast height (dbh), and 17) acres. The minimum map feature depicted on the map is 0.25 acres. This map product was generated using imagery primarily acquired between 2020 – 2024, reference information collected in the summers of 2023 – 2024, and LiDAR data flown in 2015. Every effort was taken to ensure consistency in the final products and these can be considered indicative of the existing vegetation conditions found within the project boundary during the growing season of 2024. All map products were designed according to National Forest Service vegetation mapping standards and are stored in federal databases. For more detailed information on mapping methodology please see the Central and Northern Tongass Vegetation Mapping Report:Central and Northern Tongass Vegetation Mapping Report (in progress): Dangerfield, C.; Bellante, G.; Foss, J.; Lund, A.; Caster, A.; Mohatt, K.; Homan, K.; Wittwer, D.; Johnson, T.; Goetz, W.; Moody, R.; Vernier, M.; Hemingway, B.; Achtenhagen, A.; Ryerson, D.; Megown, K.. 2025. Tongass National Forest Existing Vegetation Map. Salt Lake City, UT. In progress.