7,670 results returned
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Title: Major natural gas and oil pipe lines
- Not specified
- 1966
- Not owned by MIT (Owned by Michigan State University)
- Macomb County Planning Commission
- Consumers Power Company (Mich.)
- Michigan
- Public Service Commission
- United States
- Housing and Home Finance Agency
Summary: Extent: 1 map Abstract: Map of Macomb County, Michigan, showing oil lines, gas lines, gas storage fields, regulator stations, and storage meter stations. Scale approximately 1:98,000
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Title: Major electric power lines
- Not specified
- 1966
- Not owned by MIT (Owned by Michigan State University)
- Macomb County Planning Commission
- Detroit Edison Company
- United States
- Housing and Home Finance Agency
Summary: Extent: 1 map Abstract: Map of Macomb County, Michigan, showing "24,000 & 40,000 volt transmission lines," underground lines, substations, "120,000 volt tower lines," and "stepdown stations." Scale approximately 1:98,000
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Title: Australia
- Not specified
- 1924
- Not owned by MIT (Owned by University of Minnesota)
Summary: Shows borders, cities by population, railways, and steamer routes.; "Drawn by ... 1924."; Includes statistical charts.; On verso: text.; "C.19443."--panel. 38 x 44 centimeters, folded to 26 x 12 centimeters Scale approximately 1:11,000,000 General Map Collection
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Title: MassGIS 2003 Massachusetts Hospitals (September 2002)
- Point data
- 2003
- Not owned by MIT (Owned by Harvard)
- Massachusetts. Dept. of Environmental Protection
- MassGIS (Office : Mass.)
- Massachusetts. Division of Health Care Finance and Policy
Summary: This point datalayer shows the location of 145 hospitals in Massachusetts. This data was developed by the Massachusetts Department of Environmental Protection's (DEP) GIS Program based on database information provided by the Massachusetts Division of Health Care Finance and Policy (DHCFP) and various Internet sources. Please be aware that the attributes for the points in this layer do not include information on the type of care (e.g. specialty hospitals, acute care hospitals with emergency departments, mental health, rehabilitation, etc.) provided at each facility. Future enhancements to the layer may include such information. Therefore this layer should not be used as the primary source when seeking emergency care.
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Title: San Francisco Residential Security Map, 1937 (Raster Image)
- Raster data
- 2018
- Not owned by MIT (Owned by Stanford)
Summary: This layer is a georeferenced image of a 1937 Thomas Bros. street map of San Francisco (which also shows streetcar and trolley bus lines at the time) color coded by the Federal Government's Home Owners' Loan Corporation to indicate various levels of perceived risk to property value. These maps, drawn up for cities across the country, are associated with the practice of redlining -- denying home loans to certain neighborhoods, particularly those dominated by disfavored ethnic groups. This project traces the history of urban planning in San Francisco, placing special emphasis on unrealized schemes. Rather than using visual material simply to illustrate outcomes, Imagined San Francisco uses historical plans, maps, architectural renderings, and photographs to show what might have been. By enabling users to layer a series of urban plans, the project presents the city not only as a sequence of material changes, but also as a contingent process and a battleground for political power. Savvy institutional actors--like banks, developers, and many public officials--understood that in some cases to clearly articulate their interests would be to invite challenges. That means that textual sources like newspapers and municipal reports are limited in what they can tell researchers about the shape of political power. Urban plans, however, often speak volumes about interests and dynamics upon which textual sources remain silent. Mortgage lenders, for example, apparently thought it unwise to state that they wished to see a poor neighborhood cleared, to be replaced with a freeway onramp. Yet visual analysis of planning proposals makes that interest plain. So in the process of showing how the city might have looked, Imagined San Francisco also shows how political power actually was negotiated and exercised. Home Owners Loan Corporation (2017). San Francisco Residential Security Map, 1937 (Raster Image). Stanford University Center for Spatial and Textual Analysis. Available at: http://purl.stanford.edu/pc204zy5923. 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: Premier series map of Minnesota
- Not specified
- 1906
- Not owned by MIT (Owned by University of Minnesota)
Summary: Cartographic Details: Scale [1:950,400]. 1 in. = 15 mi. (W 97°00°--W 89°30 ª/N 49°30 ª--N 43°30 ª). Index on verso. Insets: Minest in Saint Louis County -- [Cook County] -- Saint Paul, Minneapolis and vicinity. Sheet includes: ill. of state capitol, list of agricultural associations, and statistics. 89 x 71 centimeters 1:950,400 General Minnesota Maps
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Title: Botswana Elevation, 2003
- Raster data
- 2003
- Not owned by MIT (Owned by Columbia)
- International Steering Committee for Global Mapping (ISCGM)
- Surveys and Mapping, Ministry Lands and Housing
Summary: Botswana Elevation is a Digital Elevation Model representing elevations throughout Botswana at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Built-up Areas (points), 2003
- Point data
- 2003
- Not owned by MIT (Owned by Columbia)
- International Steering Committee for Global Mapping (ISCGM)
- Surveys and Mapping, Ministry Lands and Housing
Summary: Botswana Built-up Areas is a point theme representing built-up areas in Botswana. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Miscellaneous Population Settlements, 2003
- Point data
- 2003
- Not owned by MIT (Owned by Columbia)
- International Steering Committee for Global Mapping (ISCGM)
- Surveys and Mapping, Ministry Lands and Housing
Summary: Botswana Miscellaneous Population Settlements is a point theme representing settlements in Botswana. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Roads, 2003
- Line data
- 2003
- Not owned by MIT (Owned by Columbia)
- International Steering Committee for Global Mapping (ISCGM)
- Surveys and Mapping, Ministry Lands and Housing
Summary: Botswana Roads is a line theme representing roadways in Botswana. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organizations worldwide.
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Title: Botswana Railroads, 2003
- Line data
- 2003
- Not owned by MIT (Owned by Columbia)
- International Steering Committee for Global Mapping (ISCGM)
- Surveys and Mapping, Ministry Lands and Housing
Summary: Botswana Railroads is a line theme representing railroads in Botswana. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Political Boundaries, 2003
- Line data
- 2003
- Not owned by MIT (Owned by Columbia)
- International Steering Committee for Global Mapping (ISCGM)
- Surveys and Mapping, Ministry Lands and Housing
Summary: Botswana Political Boundaries is a line theme representing political boundaries in Botswana. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Vegetation, 2003
- Raster data
- 2003
- Not owned by MIT (Owned by Columbia)
- Surveys and Mapping, Ministry Lands and Housing
- International Steering Committee for Global Mapping (ISCGM)
Summary: Botswana Vegetation is a raster theme representing percentages of tree cover throughout Botswana at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Landuse, 2003
- Raster data
- 2003
- Not owned by MIT (Owned by Columbia)
- Surveys and Mapping, Ministry Lands and Housing
- International Steering Committee for Global Mapping (ISCGM)
Summary: Botswana Landuse is a raster theme representing landuse classifications throughout Botswana at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Landcover, 2003
- Raster data
- 2003
- Not owned by MIT (Owned by Columbia)
- Surveys and Mapping, Ministry Lands and Housing
- International Steering Committee for Global Mapping (ISCGM)
Summary: Botswana Landcover is a raster theme representing land cover classifications throughout Botswana at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Water Course, 2003
- Line data
- 2003
- Not owned by MIT (Owned by Columbia)
- International Steering Committee for Global Mapping (ISCGM)
- Surveys and Mapping, Ministry Lands and Housing
Summary: Botswana Water Course is a line theme representing rivers and streams in Botswana. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Botswana Trails and Tracks, 2003
- Line data
- 2003
- Not owned by MIT (Owned by Columbia)
- International Steering Committee for Global Mapping (ISCGM)
- Surveys and Mapping, Ministry Lands and Housing
Summary: Botswana Trails and Tracks is a line theme representing trails in Botswana. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organizations worldwide.
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Title: ACS 5 Year CHAS Data by County, 2008-2012
- Polygon data
- 2016
- Not owned by MIT (Owned by Stanford)
Summary: This polygon shapefile contains Comprehensive Housing Affordability Strategy (CHAS) data at the county level. The CHAS is derived from the American Community Survey (ACS) data, which has a smaller sample size than the Decennial Census (which was the basis of the 2000 CHAS). As a result, the Census Bureau cannot produce data using only one year of survey responses, except in very populous areas. For areas with population 65,000 or greater, ACS estimates are available each year using only the most recent year’s survey responses (known as "1-year data"). For areas with population 20,000 or greater, ACS estimates are available each year based on averages of the previous three years of survey responses ("3-year data"). For areas with population less than 20,000—including all census tracts, and many places, counties, and minor civil divisions—the only ACS estimates available are based on averages of the previous five years of survey responses ("5-year data"). The primary purpose of the CHAS data is to demonstrate the number of households in need of housing assistance. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUDs programs (primarily 30, 50, and 80 percent of median income). It is also important to consider the prevalence of housing problems among different types of households, such as the elderly, disabled, minorities, and different household types. The CHAS data provide counts of the numbers of households that fit these HUD-specified characteristics in HUD-specified geographic areas. In addition to estimating low-income housing needs, the CHAS data contribute to a more comprehensive market analysis by documenting issues like lead paint risks, affordability mismatch, and the interaction of affordability with variables like age of homes, number of bedrooms, and type of building. Dataset uses custom HAMFI figures calculated by HUD PDR staff based on 2008-2012 ACS income data. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). ACS 5 Year CHAS Data by County, 2008-2012. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/dw607bb8018.
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Title: Housing Choice Vouchers by Tract, 2016
- Polygon data
- 2016
- Not owned by MIT (Owned by Stanford)
Summary: The U.S. Department of Housing and Urban Developments (HUD) Housing Choice Voucher Program (HCVP) is the federal government's major program for assisting very low-income families, the elderly, and the disabled to afford decent, safe, and sanitary housing in the private market. Since housing assistance is provided on behalf of the family or individual, participants are able to find their own housing, including single-family homes, townhouses and apartments. The participant is free to choose any housing that meets the requirements of the program and is not limited to units located in subsidized housing projects. Housing choice vouchers (HCV) are administered locally by public housing agencies (PHAs). The PHAs receive federal funds from HUD to administer the voucher program. A family that is issued a housing voucher is responsible for finding a suitable housing unit of the family's choice where the owner agrees to rent under the program. This unit may include the family's present residence. Rental units must meet minimum standards of health and safety, as determined by the PHA. A housing subsidy is paid to the landlord directly by the PHA on behalf of the participating family. The family then pays the difference between the actual rent charged by the landlord and the amount subsidized by the program. Under certain circumstances, if authorized by the PHA, a family may use its voucher to purchase a modest home. HCV locations are identified in public records by the owner and not the tenant so access to this information is restricted to help safeguard the location of HCV units. Due to the sensitive nature of the HCV locations, these are aggregated to the 2010 Census Tract geography. Data is current as of: 09/30/2016 This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). Housing Choice Vouchers by Tract, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/zv925rc3856.
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Title: ESG Grantee Areas, 2016
- Polygon data
- 2016
- Not owned by MIT (Owned by Stanford)
Summary: The Emergency Solutions Grants (ESG), formally the Emergency Shelter Grants, program is designed to identify sheltered and unsheltered homeless persons, as well as those at risk of homelessness, and provide the services necessary to help those persons quickly regain stability in permanent housing after experiencing a housing crisis and/or homelessness. The ESG is a non-competitive formula grant awarded to recipients which are state governments, large cities, urban counties, and U.S. territories. Recipients make these funds available to eligible sub-recipients, which can be either local government agencies or private nonprofit organizations. The recipient agencies and organizations, which actually run the homeless assistance projects, apply for ESG funds to the governmental grantee, and not directly to HUD. Original Release Date: FY2016. Last Revision Date: 8/31/2016. This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.) United States. Department of Housing and Urban Development. (2016). ESG Grantee Areas, 2016. United States. Department of Housing and Urban Development. Available at http://purl.stanford.edu/xg893mk2491. To learn more about the ESG program, please visit the following website: http://portal.hud.gov/hudportal/HUD? src=/program_offices/comm_planning/homeless/programs/esg