We constructed a time-series spatial dataset of parcel boundaries for the period 1962-2005, in roughly 4-year intervals, by digitizing historical plat maps for Dane County and combining them with the 2005 GIS digital parcel dataset. The resulting datasets enable the consistent tracking of subdivision and development for all parcels over a given time frame. The process involved 1) dissolving and merging the 2005 digital Dane County parcel dataset based on contiguity and name, 2) further merging 2005 parcels based on the hard copy 2005 Plat book, and then 3) the reverse chronological merging of parcels to reconstruct previous years, at 4-year intervals, based on historical plat books. Additional land use information such as 1) whether a structure was actually constructed (using the companion digitized aerial photo dataset), 2) cover crop, and 3) permeable surface area, can be added to these datasets at a later date.

Published: March 2025 Otsego County GIS tax parcels Q2 2025 Spatial Reference of Map Service: WGS 1984 Web Mercator Auxiliary Sphere County Contact: Levi N Anderson, M.S. GISGIS Coordinator andersonl@otsegocountyny.gov

This database consists of a series of maps showing estimates for the change in position of Hawaii shorelines caused by sea-level rise (SLR) of + 0.5, 1.1, 2.0, and 3.2 feet. Individual maps show perpendicular measurement axes and lines of predicted shoreline positions at mileposts along Hawaii state routes on the islands of Hawaii, Maui, Molokai, Oahu and Kauai previously identified for their vulnerability to the effects of climate change as part of the Statewide Coastal Highways Project Report.

Mileposts are identified by Brandes et al. (2019). State of Hawaii Department of Transportation (HDOT) state routes and county street centerline datasets are acquired from HDOT (2017) and HOLIS, C&CH (2017). Projected vegetation lines (long-lasting markers of the shoreline) are determined and reported by the Hawaii Coastal Geology Group (HCGG) in Anderson et al. (2018). Rate of projected erosion is determined as a mean value of rates along the measurement axis (magenta line) from the 2008 vegetation line (blue) to subsequent SLR vegetation lines (red, orange, yellow, and green). Dates for SLR elevations are reported by Anderson et al. (2018) using the IPCC AR5 high-end representative concentration pathway (RCP) 8.5 scenario as 2030 for 0.5 ft of SLR, 2050 for 1.1 ft of SLR, 2075 for 2.0 ft of SLR, and 2100 for 3.2 ft of SLR.

Please read ‘Description-Map of Projected Shoreline Change with Sea Level Rise.docx’ for detailed information.

References Anderson, T.R., Fletcher, C.H., Barbee, M.M., Romine, B.M., Lemmo, S., and Delevaux, J.M.S. (2018). Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods. Scientific Reports, 8(1), 1–14. https://doi.org/10.1038/s41598-018-32658-x Brandes, H., Doygun, O., Rossi, C., Francis, O., Yang, L., and Togia, H., (2019) Coastal Road Exposure Susceptibility Index (CRESI) for the State of Hawaii Statewide Coastal Highway Program Report. Department of Civil and Environmental Engineering, University of Hawai'i at Manoa, doi: 10.17632/frr3fsx3j6.2. HDOT (State of Hawaii Department of Transportation). “StateRoutes_SDOT” [shapefile]. Scale Not Given. State Routes. Hawaii Statewide GIS Program. Retrieved from http://files.hawaii.gov/dbedt/op/gis/data/StateAndCountyRoutes.shp.zip (December 2017). HOLIS, C&CH (Honolulu Land Information System, City and County of Honolulu). “Oah_streets” [shapefile]. Scale Not Given. Oahu Street Centerlines. Hawaii Statewide GIS Program. Retrieved from http://geoportal.hawaii.gov/datasets/roads-honolulu-county (December 2017).