Urban construction is a main form of human land use activities. It records the history of urban system evolution and reflects changes in the location, size, and form of a city. Historical data of urban construction land along the Silk Road provide data support for studying the evolutionary process of these cities, as well as for restoring longer-term construction land and other urban factors. In this paper, urban land refers to the scope of city-wall enclosure. Through the integration of multi-source data, the urban construction land along the Silk Road was restored, and a GIS dataset of urban construction land along the Silk Road in the Ming and Qing dynasties was established. The dataset allows searches by place name or time period for the changes of construction land in cities from 1368 to 1911.

Contains regional building footprint data from local jurisdictions or created and compiled by Watershed Sciences from regional Lidar data with average building heights. In instances where Lidar point density was insufficient to establish a footprint, Watershed Sciences either 1) digitized footprint from 2008 Ortho photography or 2) used existing footprint data provided by the Jurisdiction. For areas where data is not maintained by local jurisdictions, DOGAMI's 2018 building footprint dataset has been included. Additional digitization is performed by Metro using the most recent regional aerial orthoimagery when changes are identified during the annual vacant land review. Date of last data update: 2025-04-21 This is official RLIS data. Contact Person: Franz Arend franz.arend@oregonmetro.gov 503-797-1742 RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/2406 RLIS Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/terms-of-use

This dataset contains information on building use and square footage detail for all “Building” construction permits.

Notes: The City’s Customer Self Service Portal can be used to search for individual permits. For more information on properties, including assessor information, please visit the Boulder County webpages: Open Data and Property Search.

The following supporting file can be used with this dataset for extra context:

Construction Permit Data Dictionary

The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with vector layers is highly challenging in practice. Although vector layers provide accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each U.S. state: (1) total footprint coverage, (2) number of unique buildings intersecting each cell, (3) number of building centroids falling inside each cell, and area of the (4) average, (5) smallest, and (6) largest area of buildings that intersect each cell. These values a ...

A line feature class of the Coastal Construction Control line along the shoreline that runs from Golden Beach (Broward County Line) to Key Biscayne.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

OUTDATED. See the current data at https://data.cityofchicago.org/d/hz9b-7nh8 -- Building footprints in Chicago. To view or use these files, compression software and special GIS software, such as ESRI ArcGIS, is required. Metadata may be viewed and downloaded at http://bit.ly/HZVDIY.

Building structures include parking garages, ruins, monuments, and buildings under construction along with residential, commercial, industrial, apartment, townhouses, duplexes, etc. Buildings equal to or larger than 9.29 square meters (100 square feet) are captured. Buildings are delineated around the roof line showing the building "footprint." Roof breaks and rooflines, such as between individual residences in row houses or separate spaces in office structures, are captured to partition building footprints. This includes capturing all sheds, garages, or other non-addressable buildings over 100 square feet throughout the city. Atriums, courtyards, and other “holes” in buildings created as part of demarcating the building outline are not part of the building capture. This includes construction trailers greater than 100 square feet. Memorials are delineated around a roof line showing the building "footprint."Bleachers are delineated around the base of connected sets of bleachers. Parking Garages are delineated at the perimeter of the parking garage including ramps. Parking garages sharing a common boundary with linear features must have the common segment captured once. A parking garage is only attributed as such if there is rooftop parking. Not all rooftop parking is a parking garage, however. There are structures that only have rooftop parking but serve as a business. Those are captured as buildings. Fountains are delineated around the base of fountain structures.

An in-depth description of the Building Footprint GIS data layer outlining terms of use, update frequency, attribute explanations, and more.

A building is a structure that has a roof and walls and stands more or less permanently in one place. Small buildings have only their location recorded. A 'building to scale' is a structure that has one dimension larger than 50 metres for the 1: 20,000 scale and larger than 30 metres for the 1: 10,000 scale. Their extents are recorded. This product requires the use of GIS software. *[GIS]: geographic information system

This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet are not captured. Special consideration is given to garages that are less than 400 square feet and will be digitized when greater than 200 square feet. Interim rooflines, such as dormers and party walls, as well as minor structures, such as carports, decks, patios, stairs, etc., and impermanent structures, such as sheds, are not shown. Large buildings which appear to house activities that are commercial or industrial in nature are shown as commercial/industrial. Structures that appear to be primarily residential in nature, including hotels and apartment buildings are shown as residential buildings. Structures which appear to be used or owned primarily by governmental, nonprofit, religious, or charitable organizations, or which serve a public function are shown as public buildings. Structures which are closely associated with a larger building, such as a garage, are shown as an out building. Structures which cannot be clearly defined as Industrial/Commercial; Residential; Public; or Out Buildings are flagged as such for later categorization. The classification of buildings is subject to the interpretation from the aerial photography and may not reflect the building’s actual use. Buildings that have an area less than the minimum required size for data capture will occasionally be present in the Geodatabase. Buildings are not removed after they have been digitized and determined to be less than the minimum required size.

Development Notes: Data meets or exceeds map accuracy standards in effect during the spring of 1992 and updated as a result of a flyover in the spring of 2004 and 2015. Original data was derived from aerial photography flown in the spring of 1992 for the eastern half of the County and the spring of 1993 for the western half of the County. Photography was produced at a scale of 1"=1500'. Mapping was stereo digitized at a scale of 1"=200'.

Provides a visual representation of areas that are of heightened concern for SDOT Street Use, whether because of intense development and construction activity, increased scrutiny, increased safety concerns, or other reason.

| Attibute Information: High_Impact_Areas_OD.pdf

| Update Cycle: As Needed
| Contact Email: DOT_IT_GIS@seattle.gov

Common SDOT Queries:
| SDOT HUBS
STATUS = 'HUB'

https://www.seattle.gov/transportation/projects-and-programs/programs/project-and-construction-coordination-office/construction-hub-coordination

The City of Saint Paul's Department of Safety and Inspections requires homeowners or licensed contractors to obtain a building permit before the following changes are made on one or two-family residences, multi-family residences, or buildings for commercial, industrial, or institutional use:Building a new structureAdding an addition to current structureRemodeling or repairing a structureFor more information about the requirements and the application process, please visit: https://www.stpaul.gov/departments/safety-inspections/building-and-construction/construction-permits-and-inspections/building-permits-inspections Note: We have identified an issue with the time-related data in our datasets. The times are displayed correctly as Central time when viewing the data in the City’s open information portal. Upon downloading or exporting the data, any date/time columns are converted to Coordinated Universal Time (UTC). This results in the times getting converted to of either 5 hours (during Daylight savings time) or 6 hours (for Standard time) ahead of our Central time.

To correct this issue, determine if it is Standard time or Daylight Savings time. Central Daylight Time (CDT) runs from the second Sunday in March to the first Sunday in November. Central Standard Time (CST) is the remainder of the year. If it is CDT, subtract 5 hours from UTC time and if it is CST, then subtract 6 hours. This issue comes from the ESRI platform and is unable to be modified at this time.

This dataset contains buildings within Montgomery County. Building ruins, buildings under construction, and parking garages are also included. Overhead rooftops, or canopies, are shown with a separate feature code and features running under are not clipped out. Each feature is attributed with height in feet and roof type of either gable or flat. This data was captured for use in general mapping at a scale of 1:1200.Countywide data updated Spring 2023.For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620.

Building footprints from the 2011 LiDAR project. Includes outlines of buildings with an area of 40 square feet or greater. Automated classification of buildings performed using TerraScan. Manual cleanup of building classification was then carried out within point cloud data using TerraScan or LP360. Building footprints were digitized automatically using the LP360 building extraction feature. Footprints cleaned up manually using ArcGIS.This dataset is static and has not been edited since its original delivery.

NYS Building Footprints - metadata info:The New York State building footprints service contains building footprints with address information. The footprints have address point information folded in from the Streets and Address Matching (SAM - https://gis.ny.gov/streets/) address point file. The building footprints have a field called “Address Range”, this field shows (where available) either a single address or an address range, depending on the address points that fall within the footprint. Ex: 3860 Atlantic Avenue or Ex: 32 - 34 Wheatfield Circle Building footprints in New York State are from four different sources: Microsoft, Open Data, New York State Energy Research and Development Authority (NYSERDA), and Geospatial Services. The majority of the footprints are from NYSERDA, except in NYC where the primary source was Open Data. Microsoft footprints were added where the other 2 sources were missing polygons. Field Descriptions: NYSGeo Source : tells the end user if the source is NYSERDA, Microsoft, NYC Open Data, and could expand from here in the futureAddress Point Count: the number of address points that fall within that building footprintAddress Range : If an address point falls within a footprint it lists the range of those address points. Ex: if a building is on a corner of South Pearl and Beaver Street, 40 points fall on the building, and 35 are South Pearl Street it would give the range of addresses for South Pearl. We also removed sub addresses from this range, primarily apartment related. For example, in above example, it would not list 30 South Pearl, Apartment 5A, it would list 30 South Pearl.Most Common Street : the street name of the largest number of address points. In the above example, it would list “South Pearl” as the most common street since the majority of address points list it as the street. Other Streets: the list of other streets that fall within the building footprint, if any. In the above example, “Beaver Street” would be listed since address points for Beaver Street fall on the footprint but are not in the majority.County Name : County name populated from CIESINs. If not populated from CIESINs, identified by the GSMunicipality Name : Municipality name populated from CIESINs. If not populated from CIESINs, identified by the GSSource: Source where the data came from. If NYSGeo Source = NYSERDA, the data would typically list orthoimagery, LIDAR, county data, etc.Source ID: if NYSGeo Source = NYSERDA, Source ID would typically list an orthoimage or LIDAR tileSource Date: Date the footprint was created. If the source image was from 2016 orthoimagery, 2016 would be the Source Date. Description of each footprint source:NYSERDA Building footprints that were created as part of the New York State Flood Impact Decision Support Systems https://fidss.ciesin.columbia.edu/home Footprints vary in age from county to county.Microsoft Building Footprints released 6/28/2018 - vintage unknown/varies. More info on this dataset can be found at https://blogs.bing.com/maps/2018-06/microsoft-releases-125-million-building-footprints-in-the-us-as-open-data.NYC Open Data - Building Footprints of New York City as a polygon feature class. Last updated 7/30/2018, downloaded on 8/6/2018. Feature Class of footprint outlines of buildings in New York City. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_BuildingFootprints.mdSpatial Reference of Source Data: UTM Zone 18, meters, NAD 83. Spatial Reference of Web Service: Spatial Reference of Web Service: WGS 1984 Web Mercator Auxiliary Sphere.

The dataset presents a reconstruction of mid-19th-century building structure locations in former Galicia and Austrian Silesia (parts of the Habsburg Monarchy), located in present-day Czechia, Poland and Ukraine and covering more than 80 000 km2. Our reconstruction was based on a homogeneous series of detailed Second Military Survey maps (1:28,800), which were the result of cadastral mapping (1:2,880) generalization. The dataset consists of two kinds of building structures based on the original map legend – residential and outbuildings (mainly farm-related buildings), and contains more than 1.3 million objects. The dataset’s accuracy was assessed quantitatively and qualitatively using independent data sources and may serve as an important input in studying long-term socio-economic processes and human-environmental interactions or as a valuable reference for continental settlement reconstructions.

Acknowledgments This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2020, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83).

The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.

This dataset contains polygon features of Precinct names, numbers, and polling locations in the City of Norfolk.

Data maintained by the City of Norfolk Department of Information Technology GIS Team.

Any and all data sets are for graphical representations only and should not be used for legal purposes. Any determination of topography or contours, or any depiction of physical improvements, property lines or boundaries is for general information only and shall not be used for the design, modification, or construction of improvement to real property or for flood plain determination.

The dataset can be available using the link: https://norfolkgisdata-orf.opendata.arcgis.com/datasets/3fd332880bc54b1992e60077a1f263f4_6/about

The Virginia Geographic Information Network (VGIN) has coordinated the development and maintenance of a statewide Building Footprint data layer in conjunction with local governments across the Commonwealth. The Virginia Building Footprint dataset is aggregated as part of the VGIN Local Government Data Call update cycle. Localities are encouraged to submit data bi-annually and are included into the Building Footprint dataset with their most recent geography.Building footprints are polygon outlines of structures remotely rendered through digitizing of Virginia Base Mapping Program’s digital ortho-photogrammetry imagery, or digitizing of local government subdivision plats. VBMP building footprints are a collection of locally submitted data and as published from the Virginia Geographic Information Network carry no addressing, nor is there any ownership, resident information, or construction specifications provided.VBMP building footprints are not assumed to be of survey quality and carry no guarantee as to accuracy. Even with these restrictions and limitations, building outlines are a valuable resource for geospatial analysis and derivative data development. Data input from localities are processed and published quarterly. To date the majority of Virginia’s localities building footprints have been captured but not all.GDB Version: ArcGIS Pro 3.3Additional Resources:Shapefile DownloadREST Endpoint