5 results returned
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Title: Racial Covenants [Hennepin County, Minnesota] (1910-1955)
Contributors:- Polygon data ; Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was compiled by the Mapping Prejudice Project and shows the location of racial covenants recorded in Hennepin County between 1910 and 1955. Racial covenants were legal clauses embedded in property records that restricted ownership and occupancy of land parcels based on race. These covenants dramatically reshaped the demographic landscape of Hennepin County in the first half of the twentieth century. In 1948, the United States Supreme Court ruled racial covenants to be legally unenforceable in the Shelly v. Kraemer decision. Racial covenants continued to be inserted into property records, however, prompting the Minnesota state legislature to outlaw the recording of new racial covenants in 1953. The same legislative body made covenants illegal in 1962. The practice was formally ended nationally with the passage of the Fair Housing Act in 1968.
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Title: Twin Cities Historical Surface Waters Based on Original Public Land Survey Maps (1848 - 1858)
Contributors:- Vector data
- 2017
- Not owned by MIT (Owned by University of Minnesota)
Summary: 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.
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Title: Climate-biome envelope model for the Western Great Lakes Region
Contributors:- Vector data ; Raster data
- 2021
- Not owned by MIT (Owned by University of Minnesota)
Summary: Research Highlights: We modeled climate-biome envelopes at high resolution in the Western Great Lakes Region for recent and future time-periods. The projected biome shifts, in conjunction with heterogeneous distribution of protected land, may create both great challenges for conservation of particular ecosystems and novel conservation opportunities. Background and Objectives: Climate change this century will affect the distribution and relative abundance of ecological communities against a mostly static background of protected land. We developed a climate-biome envelope model using a priori climate-vegetation relationships for the Western Great Lakes Region (Minnesota, Wisconsin and Michigan USA and adjacent Ontario, Canada) to predict potential biomes and ecotones—boreal forest, mixed forest, temperate forest, prairie–forest border, and prairie—for a recent climate normal period (1979–2013) and future conditions (2061–2080). Materials and Methods: We analyzed six scenarios, two representative concentration pathways (RCP)—4.5 and 8.5, and three global climate models to represent cool, average, and warm scenarios to predict climate-biome envelopes for 2061–2080. To assess implications of the changes for conservation, we analyzed the amount of land with climate suited for each of the biomes and ecotones both region-wide and within protected areas, under current and future conditions. Results: Recent biome boundaries were accurately represented by the climate-biome envelope model. The modeled future conditions show at least a 96% loss in areas suitable for the boreal and mixed forest from the region, but likely gains in areas suitable for temperate forest, prairie–forest border, and prairie. The analysis also showed that protected areas in the region will most likely lose most or all of the area, 18,692 km2, currently climatically suitable for boreal forest. This would represent an enormous conservation loss. However, conversely, the area climatically suitable for prairie and prairie–forest border within protected areas would increase up to 12.5 times the currently suitable 1775 km2. Conclusions: These results suggest that retaining boreal forest in potential refugia where it currently exists and facilitating transition of some forests to prairie, oak savanna, and temperate forest should both be conservation priorities in the northern part of the region. Data included here are the R code used to process the publicly available CHELSA data (see publications for citation) into the biome-climate envelope product (as .R files and .txt files) and the climate-biome envelope product itself (as .tif files).
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Title: Military Airports, California, 2012
Contributors:- Point data
- 2012
- Not owned by MIT (Owned by Stanford)
Summary: This point shapefile represents military airports in California. The attributes include the airport location, function class, ownership, and the link to the Federal Aviation Administration (FAA) site. The FAA website has airport detail information and master records and reports. This layer is part of a collection of GIS data created by the California Department of Transportation (Caltrans). This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. California Department of Transportation. (2012). Military Airports, California, 2012. California Department of Transportation. Available at http://purl.stanford.edu/sp628tx7863. None This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Data and Scripts for manuscript "Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co-occurring species"
Contributors:- Table data ; Line data
- 2021
- Not owned by MIT (Owned by University of Minnesota)
Summary: Click "Visit Source" to download CSV data. This data can be used to replicate the results from the manuscript "Improving predictions of range expansion for invasive species using joint species distribution models and surrogate co-occurring species". Included are R scripts and occurence datasets for running Generalized Boosted Models (GBM) species distribution models for the invasive species Cardamine impatiens, Celastrus orbiculatus, and Humulus japonicus. Also included are R scripts for building spatially explicit species co-occurrence matrices used for running joint species distribution models (specifically gjam models) in for plant communities in Minnesota based on the MN DNR plant releve dataset with a focus on incorporating the invasive species Cardamine impatiens, Celastrus orbiculatus, and Humulus japonicus as well as a case study for the native species Smilacina racemosa. The exact spatial location of each releve has been changed to a gridded position in order to protect the exact location. Raw releve data must be obtained from the MN DNR. The data includes occurrence records for Cardamine impatiens, Celastrus orbiculatus, Humulus japonicus, and Smilacina racemosa downloaded from EDDMaps on 7 Sept 2020. Also included are spatially explicit species co-occurrence presence/absences matrices for Cardamine impatiens, Celastrus orbiculatus, Humulus japonicus, and Smilacina racemosa.