Browsing by Author "Kne, Len"

Now showing 1 - 7 of 7
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    Digital Surface Model, Minnesota (2006-2012)
    (2015-06-26) Brink, Christopher; Gosack, Benjamin; Kne, Len; Luo, Yuanyuan; Martin, Christopher; McDonald, Molly; Moore, Michael; Munsch, Andrew; Palka, Stephen; Piernot, Devon; Thiede, Dan; Xie, Yiquan; Walz, Andrew; lenkne@umn.edu; Kne, Len
    A 1m resolution digital surface model that was generated from raw lidar data. This dataset was an intermediate product of a process to model potential solar insolation for the state of Minnesota.
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    Historical National Boundaries
    (2022-05-11) Kropelnicki, Jeffrey; Johnson, Grace; Kne, Len; Lindberg, Mark; lenkne@umn.edu; Kne, Len; U-Spatial
    Historical National Boundaries displays global national boundaries for the following dates in history: 1800, 1914, 1918, 1939, 1945, 1970, 1990, 2000. Boundary changes associated with World War I (1914 - 1918) and World War II (1939 - 1945) can be viewed by turning off all other layers and toggling between the two. Data for each layer comes from a variety of sources, including historical atlases and the Library of Congress website - https://www.loc.gov/maps/.
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    Placing Data in the Land of 10,000 Lakes: Navigating the History and Future of Geospatial Data Production, Stewardship, and Archiving in Minnesota
    (2016-03-15) Dyke, Kevin R.; Mattke, Ryan; Kne, Len; Rounds, Shawn
    The goal in this article is to provide background and offer a framework for developing a program to archive the state of Minnesota’s spatial data at the University of Minnesota. It begins with a review of the literature on geospatial data archiving, preservation, and curation, and goes on to make a business case for archiving geospatial data. It next provides a brief history of Geographic Information Systems (GIS) in Minnesota, beginning in the late 1960s with the University of Minnesota’s Center for Urban and Regional Affairs’ (CURA) Minnesota Land Management Information System (MLMIS) project through the establishment of the Minnesota Geospatial Information Office (MnGeo) in 2009. After providing this historical context, this article builds upon existing organizational infrastructure in Minnesota to sketch a preliminary framework for archiving the state’s spatial data.
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    Shapefile of the 1968 Ecological Study for the Twin Cities Metropolitan Area: Composite Intrinsic Suitability
    (2020-12-22) Jacobs, Paul; Barney, Rebecca; Kne, Len; Tao, Ya; Milz, Dan; lenkne@umn.edu; Kne, Len; U-Spatial
    A digitized version of Ian McHarg's original 1968 An Ecological Study for the Twin Cities Metropolitan Area: Composite Intrinsic Suitability. These maps were the basis for the 1969 report An Ecological Study of the Twin Cities Metropolitan Area, which provided a framework for land use planning throughout the metro area.
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    Solar Insolation, Minnesota (2006-2012)
    (2015-09-24) Brink, Christopher; Gosack, Benjamin; Kne, Len; Luo, Yuanyuan; Martin, Christopher; McDonald, Molly; Moore, Michael; Munsch, Andrew; Palka, Stephen; Piernot, Devon; Thiede, Dan; Xie, Yiquan; Walz, Andrew; lenkne@umn.edu; Kne, Len
    The Minnesota Solar Suitability Analysis attempts to provide solar insolation analysis for the entire State of Minnesota. As far as we are aware, it is the only project of its scale in existence; similar studies have been limited to metro areas or focus on rooftop insolation. The project's existence is feasible because of statewide, freely available aerial lidar coverage. And the commitment of the team to work long hours on this unfunded project. The project finds itself at the intersection of renewable energy, big data analysis, geospatial technology, and open data availability. This data provides a measure of incedent solar radiation as it is intercepted by the earth surface, or features (such as vegetation and buildings) standing above the earth surface. The data is intended to be used to assess the suitability of a site for solar panel (photovoltaic cell) installations.
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    Transit Service Frequency App: A Global Transit Innovations (GTI) Data System
    (Center for Transportation Studies, University of Minnesota, 2018-11) Fan, Yingling; Wiringa, Peter; Guthrie, Andrew; Ru, Jingyu; He, Tian; Kne, Len; Crabtree, Shannon
    The Transit Service Frequency App hosts stop- and alignment-level service frequency data from 559 transit providers around the globe who have published route and schedule data in the General Transit Feed Specification (GTFS) format through the TransitFeeds website, a global GTFS clearinghouse. Stop- and alignment-level service frequency is defined as the total number of transit routes and transit trips passing through a specific alignment segment or a specific stop location. Alignments are generalized and stops nearby stops aggregated. The app makes data easily accessible through visualization and download tools. It allows the user to identify stop and alignment frequency at thousands of locations around the globe, as well as export data for cross analysis using GIS technology.
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    Twin Cities Historical Surface Waters Based on Original Public Land Survey Maps, 1848 - 1858
    (2017-09-13) Graves, Richard; Strong, Richard; Mattke, Ryan; Kne, Len; Shepard, Coleman; Kernik, Melinda; stron081@umn.edu; Strong, Richard B.
    These shapefiles of lakes, streams, wetlands, river bottoms, and the Mississippi River represent the hydrological landscape of Minneapolis and St. Paul as recorded in the original public land survey conducted between 1848 and 1858. The features were digitized from scanned, georeferenced 1:24000 maps during the 2017 Faculty Research Sprint held at the University of Minnesota. Many streams and other hydrologic features that were present in the Twin Cities at the time of the original land survey were channelized, covered, or filled during the late 1800's. These features, however, still function as water conduits within the hydrology systems of urban water and have immense importance to the water regime in the Twin Cities. This data was generated as part of a larger "Lost Waters" research project - aiming to create a visible, physical representation of these waters in the current urban landscape.