Search for geospatial/GIS data

Find GIS data held at MIT and other institutions

10,000+ results returned

  1. Title: Bike_Blvds

    • Line data
    • 2004
    Contributors:

    Summary: City of Berkeley Bicycle Boulevard - Bicycle priority streets. Most sections are quiet residential streets and have bike lanes or routes. Look for purple bicycle boulevard signs. Bike Boulevard is also classified as Bike Routes (class3)

  2. Title: Police Beats, Berkeley, California, 2015

    • Polygon data
    • 2015
    Contributors:

    Summary: Police Beat districts within the boundaries of the city of Berkeley, California.

  3. Title: Bike Boulevards, Berkeley, California, 2008

    • Line data
    • 2008
    Contributors:

    Summary: City of Berkeley Bicycle Boulevard - Bicycle priority streets. Most sections are quiet residential streets and have bike lanes or routes. Look for purple bicycle boulevard signs. Bike Boulevard is also classified as Bike Routes (class3)

  4. Title: Parks, Berkeley, California, 2008

    • Polygon data
    • 2008
    Contributors:

    Summary: City of Berkeley Parks: The City of Berkeley has 52 treasured parks located throughout the City that include athletic fields, swimming pools, tennis and basketball courts, as well as numerous tot lots and playgrounds.

  5. Title: Police Beats Berkeley California 2010

    • Polygon data
    • 2006
    Contributors:

    Summary: City of Berkeley, CA police beats

  6. Title: Council Districts Berkeley, California 2002

    • Polygon data
    • 2002
    Contributors:

    Summary: The City of Berkeley's council districts created during 2002 redistricting.

  7. Title: Council Districts, Berkeley, California, 2015

    • Polygon data
    • 2015
    Contributors:

    Summary: Council districts boundaries adjusted to equalize population in the districts as a result of population changes reflected in the 2010 federal census. Berkeley City Charter requires City Council district boundaries to be adjusted, if needed, following each decennial census.

  8. Title: Streets, Berkeley, California, 2009

    • Line data
    • 2009
    Contributors:

    Summary: This dataset, developed by the Department of Information Technology, is used to identify the street grid of Berkeley, California.

  9. Title: Land Area, Berkeley, California, 2009

    • Polygon data
    • 2009
    Contributors:

    Summary: The land area that makes up the boundary lines for the city of Berkeley, California.

  10. Title: Newark, New Jersey 1958

    • Not specified
    • 1958
    Contributors:

    Summary: Map of the official wards and districts of the city of Newark, N.J. Wards are outlined in black and districts are outlined in red.

  11. Title: streets

    • Line data
    • 2009
    Contributors:

    Summary: Centerline 10.8 version for expanded area use, CAD applications, and framework for networking

  12. Title: LandScan Global Population Database 2013

    • Raster data
    • 2013
    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2013. This release represents the fourteenth version of LandScan and succeeds all previous versions. Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, There is also a layer file (lspop2012.lyr) for ArcGIS. This dataset is part of the LandScan global 2013. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Bright, Edward A., Coleman, Phillip R., Rose, Amy N., and Oak Ridge National Laboratory. (2013) LandScan Global Population Database 2013. Oak Ridge National Laboratory, UT-Battelle, LLC. IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2013.

  13. Title: Plat of Crane Island, Lake Minnetonka, Hennepin County, Minn : Feb. 1907

    • Not specified
    • 1907
    Contributors:

    Summary: Blueline print.; Relief shown by contours.; Includes text. 48 x 70 centimeters

  14. Title: Piscataquis County, Maine, 1858 (Image 1 of 2) (Raster Image)

    • Raster data
    • 2009
    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of Piscataquis County Maine, from surveys under the direction of H. F. Walling; field notes under the direction of L. H. Eaton Esq. civil engineer. It was published by Lee & Marsh in 1858. Scale [ca 1:63,360]. This layer is image 1 of 2 total images, representing the northeast portion of the four sheet source map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (UTM Zone 19N, meters, NAD1983). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town boundaries, and more. Relief shown by hachures. It includes many cadastral insets of individual county towns and villages. It also includes illustrations, business directories, and tables of statistics and distances.This layer is part of a selection of digitally scanned and georeferenced historic maps of New England from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates, scales, and map purposes.

  15. Title: Penobscot County, Maine, 1859 (Image 2 of 2) (Raster Image)

    • Raster data
    • 2009
    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Topographical map of the county of Penobscot Maine, from surveys under the direction of H.F. Walling; field work under the direction of L.H. Eaton. It was published by Lee & Marsh in 1859, Scale 1:80,000. This layer is image 2 of 2 total images, representing the northeast portion of the four sheet source map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (UTM Zone 19N, meters, NAD1983). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town boundaries, and more. Relief shown by hachures. It includes many cadastral insets of individual county towns and villages. It also includes illustrations, business directories, and tables of statistics and distances.This layer is part of a selection of digitally scanned and georeferenced historic maps of New England from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates, scales, and map purposes.

  16. Title: Penobscot County, Maine, 1859 (Image 1 of 2) (Raster Image)

    • Raster data
    • 2009
    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Topographical map of the county of Penobscot Maine, from surveys under the direction of H.F. Walling; field work under the direction of L.H. Eaton. It was published by Lee & Marsh in 1859, Scale 1:80,000. This layer is image 1 of 2 total images, representing the southwest portion of the four sheet source map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (UTM Zone 19N, meters, NAD1983). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town boundaries, and more. Relief shown by hachures. It includes many cadastral insets of individual county towns and villages. It also includes illustrations, business directories, and tables of statistics and distances.This layer is part of a selection of digitally scanned and georeferenced historic maps of New England from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates, scales, and map purposes.

  17. Title: Piscataquis County, Maine, 1858 (Image 2 of 2) (Raster Image)

    • Raster data
    • 2009
    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of Piscataquis County Maine, from surveys under the direction of H. F. Walling; field notes under the direction of L. H. Eaton Esq. civil engineer. It was published by Lee & Marsh in 1858. Scale [ca 1:63,360]. This layer is image 2 of 2 total images, representing the northwest portion of the four sheet source map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (UTM Zone 19N, meters, NAD1983). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town boundaries, and more. Relief shown by hachures. It includes many cadastral insets of individual county towns and villages. It also includes illustrations, business directories, and tables of statistics and distances.This layer is part of a selection of digitally scanned and georeferenced historic maps of New England from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates, scales, and map purposes.

  18. Title: City of Jackson, major street plan

    • Not specified
    • 1929
    Contributors:

    Summary: January 1929. 51 x 54 centimeters

  19. Title: Street map of Columbus, Georgia

    • Not specified
    • 1928
    Contributors:

    Summary: Adopted by the City Commission, Jan. 10, 1928. 70 x 42 centimeters

  20. Title: Aldermanic Districts Milwaukee, Wisconsin 2004

    • Polygon data
    • 2004
    Contributors:

    Summary: This polygon data layer represents aldermanic districts for Milwaukee, Wisconsin in 2004. The dataset was originally published by the City of Milwaukee Department of City Development in 2004.

Need help?

Ask GIS