WSDOT template for Esri file geodatabase line feature class. Template has pre-defined attribute schema to help users create data that is more consistent or compliant with agency standards. Metadata has been created using the FGDC metadata style but stored in the ArcGIS format. Content presentation will change upon export to FGDC format.This service is maintained by the WSDOT Transportation Data, GIS & Modeling Office. If you are having trouble viewing the service, please contact Online Map Support at onlinemapsupport@wsdot.wa.gov.

Overview

This dataset contains all DOMI Street Closure Permit data in the Computronix (CX) system from the date of its adoption (in May 2020) until the present. The data in each record can be used to determine when street closures are occurring, who is requesting these closures, why the closure is being requested, and for mapping the closures themselves. It is updated hourly (as of March 2024).

Preprocessing/Formatting

It is important to distinguish between a permit, a permit's street closure(s), and the roadway segments that are referenced to that closure(s).

• The CX system identifies a street in segments of roadway. (As an example, the CX system could divide Maple Street into multiple segments.)

• A single street closure may span multiple segments of a street.

• The street closure permit refers to all the component line segments.

• A permit may have multiple streets which are closed. Street closure permits often reference many segments of roadway.

The roadway_id field is a unique GIS line segment representing the aforementioned segments of road. The roadway_id values are assigned internally by the CX system and are unlikely to be known by the permit applicant. A section of roadway may have multiple permits issued over its lifespan. Therefore, a given roadway_id value may appear in multiple permits.

The field closure_id represents a unique ID for each closure, and permit_id uniquely identifies each permit. This is in contrast to the aforementioned roadway_id field which, again, is a unique ID only for the roadway segments.

City teams that use this data requested that each segment of each street closure permit be represented as a unique row in the dataset. Thus, a street closure permit that refers to three segments of roadway would be represented as three rows in the table. Aside from the roadway_id field, most other data from that permit pertains equally to those three rows. Thus, the values in most fields of the three records are identical.

Each row has the fields segment_num and total_segments which detail the relationship of each record, and its corresponding permit, according to street segment. The above example produced three records for a single permit. In this case, total_segments would equal 3 for each record. Each of those records would have a unique value between 1 and 3.

The geometry field consists of string values of lat/long coordinates, which can be used to map the street segments.

All string text (most fields) were converted to UPPERCASE data. Most of the data are manually entered and often contain non-uniform formatting. While several solutions for cleaning the data exist, text were transformed to UPPERCASE to provide some degree of regularization. Beyond that, it is recommended that the user carefully think through cleaning any unstructured data, as there are many nuances to consider. Future improvements to this ETL pipeline may approach this problem with a more sophisticated technique.

Known Uses

These data are used by DOMI to track the status of street closures (and associated permits).

Further Documentation and Resources

An archived dataset containing historical street closure records (from before May of 2020) for the City of Pittsburgh may be found here: https://data.wprdc.org/dataset/right-of-way-permits

Connecticut and Vicinity Town Boundary data are intended for geographic display of state, county and town (municipal) boundaries at statewide and regional levels. Use it to map and label towns on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

The State Lands Commission has prepared the Significant Lands Inventory (report) for the California Legislature as a general identification and classification of those unconveyed State school lands and tide and submerged lands which possess significant environmental values. The publication incorporates evaluated and pertinent comments received on the initial draft report which was circulated statewide in February 1975.The absence of a particular digitized waterway in the dataset does not mean that the State does not claim ownership of that parcel or waterway, or that such specific parcel or waterway has no significant environmental values. This dataset is not intended to establish ownership, only to identify those parcels which possess significant environmental values. Staff was unable to physically inventory all of the considered lands; instead, the advice and participation of those with known environmental expertise was utilized as additional to staff survey.Tide and submerged lands are digitized in the WaterBody and WaterLine feature classes; WaterLines for coastal areas, WaterBody for inland areas. Tide and submerged lands under the jurisdiction of the State Lands Commission are those sovereign lands received from the Federal Government by virtue of California's admission to the Union on an equal footing with the original States. Such lands, and State interest therein, are generally the lands waterward of the ordinary high water mark of the Pacific Ocean (seaward to a three-mile limit); tidal bays, sloughs, estuaries; and, navigable lakes and streams within the State.School Lands are digitized in the SchoolLand feature class. State school lands under the jurisdiction of the Commission are largely composed of the 16th and 36th sections of each township. The Federal Government transferred these lands to the State in 1853, in order to establish a financial foundation for a public school system. In cases where the 16th and 36th sections were mineral in character, incomplete as to acreage total, or already claimed or granted by the Federal Government, the State was permitted to select other lands "in lieu" of the specific sections.The public trust of commerce, navigation and fisheries which the State retains on patented sovereign lands should also be considered included in this inventory. Wherever a waterway, or body of water, is listed or mapped, the common trust state interest in patented sovereign lands, if any, is also included.The State Lands Commission emphasized when it adopted this report at its December 1, 1975 meeting that all tide and submerged lands are significant by the nature of their public ownership. Only because of the methodology used for this report are all of these waterways not specifically listed in this inventory.It is the intent of the State Lands Commission that the Significant Lands Inventory be periodically updated. This dataset should be considered informational, to assist the Legislature, the Commission, and the public in considering the environmental aspects of a proposed project and the significant values to be protected therein.

Contour lines for Suffolk County, NY at 10ft intervals.

This dataset contains the information for the transit lines in Los Angeles, California. The file contains left and right alignments for five Metro lines to include: the Red and Purple Line, the Gold Line, the Green Line, the Expo Line, the Blue Line. The alignments were created from coordinate points extracted from the Record Drawing. The Record Drawings included spiral curve, circle curve, and alignment data. The Record Drawings were created at various time from 11/1985 to 04/1999. Only tangent lines and circular curve data were used to create the alignments. Spiral data and crossover data were estimated and do not reflect the actual curvature of the tracks.

Workflow for Line-of-Sight (LOS) analysis in GIS (ArcGIS Desktop/PRO software release): the video shows the setup of hypothetical observing points, evenly distributed through the space of the virtually reconstructed house of Caecilius Iucundus (height on the ground floor 1.65 m, space interval 0.2 m). LOS algorithm enabled us to generate a vertical map featuring the percentage of visual exposure of the fresco’s surface and a horizontal map of cumulative visibility of the fresco from each observing location

The term "Smartline" refers to a GIS line map format which can allow rapid capture of diverse coastal data into a single consistently classified map, which in turn can be readily analysed for many purposes. This format has been used to create a detailed nationally-consistent coastal geomorphic map of Australia, which is currently being used for the National Coastal Vulnerability Assessment (NCVA) as part of the underpinning information for understanding the vulnerability to sea level rise and other climate change influenced hazards such as storm surge. The utility of the Smartline format results from application of a number of key principles. A hierarchical form- and fabric-based (rather than morpho-dynamic) geomorphic classification is used to classify coastal landforms in shore-parallel tidal zones relating to but not necessarily co-incident with the GIS line itself. Together with the use of broad but geomorphically-meaningful classes, this allows Smartline to readily import coastal data from a diversity of differently-classified prior sources into one consistent map. The resulting map can be as spatially detailed as the available data sources allow, and can be used in at least two key ways: Firstly, Smartline can work as a source of consistently classified information which has been distilled out of a diversity of data sources and presented in a simple format from which required information can be rapidly extracted using queries. Given the practical difficulty many coastal planners and managers face in accessing and using the vast amount of primary coastal data now available in Australia, Smartline can provide the means to assimilate and synthesise all this data into more usable forms.

Seabed video GIS (line) data from the survey 1111S, which was planned to collect data from Rona and Windsock closure area. This was a Scottish Marine Protected Areas (SMPA) site identification survey.

Contour lines for Suffolk County, NY at 5 ft intervals.

Amherst, MA Property Lines.Metadata is available at http://gis.amherstma.gov/data/metadata/parcels.htm

Seabed video GIS (line) data from the survey 0911S on the research vessel Scotia. This was a Scottish Marine Protected Areas (SMPA) site identification survey.

Lot lines delineate the boundary of a lot or lots within a tax parcel. Most lot lines were digitized from record information using bearing and distance (recorded subdivision plats and recorded deeds). Some were scanned from recorded plat mylars. Lot polygons delineate the boundary of a lot or lots within a tax parcel. Currently, these exist only for the City of Seward.

TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOW These layers were produced using GIS tools that interpret General Transit Feed Specification (GTFS) schedule data. In short, this feed is an entire snapshot of all routes, stops, and schedules for GCRTA's service and is posted publicly at their website and various transit feed archives. "High frequency service" currently means bus or train service that runs at least 15 minutes or less. This is considered roughly the least amount of waiting time that people can use transit without having to plan far in advance. GCRTA used this distinction when redesigning their network in 2020 and 2021 and shows their service on their interactive map accordingly. While the GTFS schedule feed is published by GCRTA, these layers are not authored by them and are City Planning's interpretation (original author: Dro Sohrabian). Update FrequencyTBD This dataset is used in the following application(s):Transit Oriented Development in Cleveland ContactsCity Planning Commission

Seabed video GIS (line) data from a survey to Hatton Rockall Basin NCMPA on the research vessel Scotia (1011S). The aim of the survey was to map seabed habitats and coral reefs using towed video system and multibeam echosounder. This was a Scottish Marine Protected Areas (SMPA) site identification survey.

The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 27 of the Atlas, Geological History of the Williston Basin and Sweetgrass Arch, Figure 5, Sweetgrass Arch and Williston Basin Tectonic Elements. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.

Metra commuter rail lines in the Chicagoland region. To view or use these files, compression software and special GIS software, such as ESRI ArcGIS, is required. To download, right-click the "Download" link above and choose "Save link as."

This dataset depicts rail lines in Minnesota. It is a planning level dataset orginally developed at a scale of 1:24,000.

Alaska Program Map Service contains point and line features from the following BOEM Alaska Region environmental monitoring programs: Chukchi Sea Offshore Monitoring in Drilling Area (COMIDA), Arctic Nearshore Impact Monitoring in the Development Area (ANIMIDA), and Continuation of the Arctic Nearshore Impact Monitoring in the Development Area (cANIMIDA). Point features were produced to represent a variety of surveying methods, including CTD water column surveys, benthic surveys, marine mammal sighting from aerial survey, and whale sighting from subsistence whaling activity. Line features were produced to represent a variety of surveying methods, including navigation from underway CTD water column surveys, navigation from aerial survey, and navigation from subsistence whaling activity.