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TwitterThe layer will be removed from the iMap Data Catalog in the near future. To access the most recent Baltimore City neighborhood data please visit https://data.baltimorecity.gov/datasets/baltimore::neighborhood-1.
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TwitterThis web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. Esri created this vector tile basemap from the Daylight map distribution of OSM data, which is supported by Facebook and supplemented with additional data from Microsoft. This version of the map is rendered using OSM cartography. The OSM Daylight map will be updated every month with the latest version of OSM Daylight data.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site:www.OpenStreetMap.org. Esri is a supporter of the OSM project and is excited to make this enhanced vector basemap available to the ArcGIS user and developer communities.
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TwitterDetailed street center lines for Baltimore City. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. This dataset depicts the linear boundaries for street and paved areas in Baltimore City and has an extremely high degree of positional accuracy. For the best available transportation data use the Roads_GDT_MSA dataset. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
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TwitterHealth_Organizations_BACI
File Geodatabase Feature Class
Thumbnail Not Available
Tags
BES, Health Organizations
Summary
Socioeconomic analysis.
Description
Location of Baltimore City health organizations. This dataset was obtained from BNIA; no metadata was provided. A limited assessment comparing this dataset to IKONOS imagery acquired in 2001 indicates that the point locations have most likely been geocoded and thus are in the vicinity of, but generally not at the precise location of the facility.
Credits
BNIA
Use limitations
BES research only.
Extent
West -76.687816 East -76.556835
North 39.354983 South 39.273377
Scale Range
There is no scale range for this item.
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TwitterThis data was developed in response to citizens’ road maintenance requests from across the state as to whom to contact as the official maintenance authority - be it MDOT State Highway Administration, MDOT Transportation Authority, a county, or a municipality.MDOT SHA Website
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. ' above published service description.A representation of the boundaries of Baltimore City neighborhoods. The data can be obtained from the Baltimore City Open Data Portal at https://data.baltimorecity.gov/Neighborhoods/Neighborhoods-Shape/ysi8-7icr. Map Service Link: http://geodata.md.gov/appdata/rest/services/ TrainingProgram/MD_BaltimoreCityNeighborhoods/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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TwitterThe USGS Topo base map service from The National Map is a combination of contours, shaded relief, woodland and urban tint, along with vector layers, such as geographic names, governmental unit boundaries, hydrography, structures, and transportation, to provide a composite topographic base map. Data sources are the National Atlas for small scales, and The National Map for medium to large scales.
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TwitterBuildings_BACI File Geodatabase Feature Class Thumbnail Not Available Tags Buildings, structures, ruins, storage tanks, silos, water towers, Baltimore City Planimetric, Biophysical Resources, Land, Socio-Economic Resources, Capital Summary This data was created as a landbase feature as part of the planimetric data. Description This dataset represents photogrammetrically captured Building footprints => 100sq. ft. including storage tanks, silos, water towers, power plants, substations, and structures under construction and ruins. Feature capture rules: Buildings - Outline edge of roofline. All buildings shall be captured as polygons. In commercial areas especially, it is important that the plotted building represent the face of the building where it meets the sidewalk. Polygons shall be created for the outer boundary of the building when a partywall exists. Does not include sheds and small temporary structures. Attached garages shall be represented as part of the building structure. Large structures such as stadiums shall also be represented. Structures under construction or demolition - Delineate the rooflines of all buildings under construction as interpreted from aerial photography. If roofline is not visible compile visible foundation or walls Ruins - Delineate old overgrown areas of old structures that have been demolished or are in disrepair. Original data will be reclassified to define as separate subtype. Storage tanks, silos, and water towers - Outlines of all storage tanks, silos and water towers. . Original data will be reclassified to define as separate subtype. Power plants and substations - Outline of power plant and substation structure. . Original data will be reclassified to define as separate subtype. Credits There are no credits for this item. Use limitations Every reasonable effort has been made to ensure the accuracy of these data. The City of Baltimore, Maryland makes no representations nor warranties, either express or implied, regarding the accuracy of this information or its suitability for any particular purpose whatsoever. The data is licensed "as is" and the City of Baltimore will not be liable for its use or misuse by any party. Reliance of these data is at the risk of the user. Extent West -76.714715 East -76.525355 North 39.375162 South 39.193953 Scale Range There is no scale range for this item.
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TwitterParcels_PROW_LU_2003_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES, Parcel, Land Use, Urban, Land Summary BES research Description Parcel-based land use (LU) and public rights-of-way (PROW), for Baltimore City. Land use (LU) codes were obtained from the 2003 MD Property View A&Tdatabase. Credits Jarlath O'Neil-Dunne, UVM Spatial Analysis Lab Use limitations Approved BES research only Extent West -76.713449 East -76.525885 North 39.374474 South 39.195049 Scale Range There is no scale range for this item.
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TwitterRoad centerlines for Baltimore County, Maryland. Includes road names and road ranges.
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Twitterlandmark_BACI
File Geodatabase Feature Class
Thumbnail Not Available
Tags
BES, Landmarks
Summary
Socioeconomic analysis.
Description
Baltimore City Landmarks.
Credits
BNIA
Use limitations
BES research only.
Extent
West -76.678418 East -76.535599
North 39.359323 South 39.245599
Scale Range
There is no scale range for this item.
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TwitterAerial Cartographics of America (ACA) collected 750 square miles covering Baltimore County. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 0-Never Classified, 1-Unclassified, 2-Ground, 7-Low Noise, 9-Water, 10-Ignored Ground due to breakline proximity. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro-conditioned DEMs for the project area. The data was formatted according to the Baltimore County tile naming convention.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Baltimore/MD_baltimore_shadedRelief_RGB/ImageServer
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TwitterAerial Cartographics of America (ACA) collected 750 square miles covering Baltimore County. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 0-Never Classified, 1-Unclassified, 2-Ground, 7-Low Noise, 9-Water, 10-Ignored Ground due to breakline proximity. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro-conditioned DEMs for the project area. The data was formatted according to the Baltimore County tile naming convention.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/lidar/rest/services/Baltimore/MD_baltimore_dem_ft/ImageServer
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TwitterBaltimore City Highways. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. When compared to high-resolution imagery and detailed street data offsets as great as 50m were observed. Due to positional accuracy errors this dataset should be used with caution. There are no attributes associated with this dataset. For the best available transportation data use the Roads_GDT_MSA dataset.
This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
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TwitterNewcomer_Hotspots_BACI
File Geodatabase Feature Class
Thumbnail Not Available
Tags
BES, Newcomers, Hotspots
Summary
BES analysis.
Description
Baltimore City hotspots for newcomers to the area.
Credits
BNIA
Use limitations
BES research only.
Extent
West -76.681749 East -76.561269
North 39.356084 South 39.236417
Scale Range
There is no scale range for this item.
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TwitterThis dataset is a line representation of every 10ft of land elevation. The source data is a Digital Elevation Model (DEM) raster dataset generated from LiDAR data collected in 2015 by the State of Maryland, and was generated using geographic information system (GIS) software. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed DEMs of the earth's terrain, man-made structures, and vegetation.If you have any questions or need to report an issue for this dataset, please use the following feedback form to submit your response, and the Open Baltimore support team will contact you.
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TwitterNeighborhoods within Baltimore City limits. This dataset was sourced from Baltimore Neighborhood Indicators Alliance (BNIA). No additional
metadata was provided with the dataset.
This is part of a collection of Baltimore Ecosystem Study metadata records that point to a geodatabase.
The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
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TwitterBaltimore City boundary limits. This is the "official" city boundary used by many Baltimore agencies. It DOES NOT agree with the universal MSA boundaries dervied from GDT census data. This is part of a collection of Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase itself is available online at beslter.org or lternet.edu. It is considerably large. Upon request, it can be shipped to you on media, such as a flash drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
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TwitterBuildings_BACO File Geodatabase Feature Class Thumbnail Not Available Tags Planimetric, BES, Building, Footprints, Structure, Cadastral, Housing, Homes Summary High resolution planimetric building data. Description Baltimore County building footprints circa 1997. This dataset was obtained from the Baltimore County Goverment; there was only limited supporting documentation. A limited assesment was conducted that compared the building footprints to high resolution aerial imagery (Emerge) flown in 1999. This assessment found that a considerable number of building footprints were missing. Those that did exist appeared to agree spatially with the Emerge imagery. The following building types are included in this dataset: residential, commercial/industrial, other structures, miscellaneous buildings, buildings under construction, toll booth plazas, rail stations, water towers, storage tanks, silos. Credits Baltimore County Government Use limitations BES research only. Extent West -76.897990 East -76.334462 North 39.727055 South 39.189542 Scale Range There is no scale range for this item.
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TwitterProperty Variables for Baltimore City. The Property Variables dataset is a compilation of variables obtained from the MD Property View 2003 Database and derived from BES geospatial datasets. The points in this dataset were subsetted from the MD MD Property View 2003 A&T Database. The criteria used to select these points was: - Can be linked to parcel data using BLOCKLOT2 - LU = Residential (residential land use) - CONSIDR > 10,000 and < 1.5 million (purchase price greater than $10,000 and less than $1.5 million) - STRUDWEL = 01, 02 or 03 (single family home or townhome) - Sales Date after Jan 1 2001. - SQFTSTRUC > 100 (square footage of the structure greater than 100) - YEARBLT > 0 (valid year built). Please refer to the enclosed documentation for a complete data dictionary along with Austin Troy's original request document with comments by Jarlath O'Neil-Dunne.
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TwitterThe layer will be removed from the iMap Data Catalog in the near future. To access the most recent Baltimore City neighborhood data please visit https://data.baltimorecity.gov/datasets/baltimore::neighborhood-1.