Polygon features of Bridges in the Portland area-- Additional Information: Category: Transportation - Streets Purpose: For cartographic representation of major river bridges in Portland. Update Frequency: As Needed-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=52492

A public view dataset containing point locations of bridges that are under the care and management of the Canal & River Trust.Audience: Public, Internal/ExternalExtent: England and WalesUpdate regime: Attributes weekly, geometry upon request.Source: Canal & River TrustNoticed a data error? Please contact us.

Area within 3-miles of the active channel for Central Platte River (CPR) divided by bridge segments. These bridge segments are commonly used by conservation organizations working in the CPR to identify specific reaches of the river. The number designations provided are the standard identifier for each segment used for conservation planning in the CPR.

Create your own initiative by combining existing applications with a custom site. Use this initiative to form teams around a problem and invite your community to participate.

IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 27th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here Flood maps are created by combining hydraulic model results with high-accuracy ground information. Field surveys and LiDAR remote sensing are used to collect river and floodplain elevations, channel cross section data, bridge and culvert information, and flood berm details. A hydrology assessment using recorded and historic flow measurements is typically used to estimate river flows for a wide range of possible open water floods with different chances of occurring each year. When appropriate, an ice jam frequency analysis is undertaken. All this information is used to build a hydraulic model of a river system, which is calibrated using highwater marks and aerial imagery from past floods to ensure that results for the different flood flows being mapped are reasonable. Flood inundation maps show areas at risk for different sized floods, including ice jam floods in some communities. These maps also identify areas that could be flooded if berms or other flood control structures fail and are typically used for emergency response planning and to inform local infrastructure design. Flood hazards have not been identified along all rivers or through all communities, and it is important to remember that risk exists in areas without provincial flood maps. Visit www.floodhazard.alberta.ca for more information about the Flood Hazard Identification Program. The website includes different sections for final flood studies and for draft flood studies. Flood maps can be viewed directly using the Flood Awareness Map Application at floods.alberta.ca. The Alberta Flood Mapping GIS dataset is updated when new information is available or existing information changes; therefore, the Government of Alberta assumes no responsibility for discrepancies at the time of use.Posted on 2020-12-22 to GeoDiscover Alberta by Alberta Environment and Parks.

Point locations of rail bridges on the PCC rail system. The locations are placed by latitude and longitude coordinates. For bridges with multiple sections, a separate point location is created for each section.

The Arland D. Williams, Jr. Memorial Bridge Rehabilitation Project includes critical improvements to this four-lane bridge, which carries I-395 NB from Arlington, Virginia, to Washington, D.C., over the Potomac River. Rehabilitation of this bridge is a high priority for the District Department of Transportation (DDOT) because the deterioration of several bridge components and ongoing maintenance efforts have generated urgent safety and state-of-good-repair concerns that require a long-term solution. Because more than 88,404 vehicles use the I-395 NB Bridge over the Potomac River bridge every day (2019), the bridge is integral to mobility in the region.

Includes highway and rail river crossing inventory for the DVRPC region.The DVRPC Highway River Crossing data layer was developed to identify key bridges in the region that span major rivers and can be considered crucial to interstate commerce. These bridge were mapped as point features identifying the center point location of the facility. Additional inputs were on the facilities was based on Department of Transportation, Turnpike Commission and Bridge Commission data.The DVRPC Railroad River Crossing data layer was developed to identify key bridges in the region that span major rivers and can be considered crucial to interstate commerce. These bridge were mapped as point features identifying the center point location of the facility. Additional inputs were on the facilities was based on Department of Transportation and rail carrier data.

This is a point data set of 1/10thmilepost markers for trails along the Boise River from Lucky Peak Dam to the current terminus within the City of Eagle. The trails along the Boise River are generally referred to as ‘the greenbelt’. The milepost markers along the Boise River are collectively known as the Distance and Orientation Trail System (DOTS). Mileposts are a series of numbered markers placed along a route at regular intervals used as reference points. The DOTS divides the greenbelt trails into quadrants; north and south side of the Boise River, and east or west of the origin at the 8thStreet pedestrian bridge in Boise, Idaho. Milepost identification is comprised of the quadrant or sector (i.e. NW for northwest, SW for southwest, NE for northeast, and SE for southeast) and a mileage (in tenths of a mile). For example, NE 3.1, indicates the north side of the river, and east of the 8th Street pedestrian bridge by 3.1 miles. There are several known exceptions to this convention. The milepost origin for the north and south trail origins are simply delineated by ‘N’ and ‘S’. Also, several mileposts are marked with a ‘W’ for West where the north and south trails converge . Mileage numbers increase as you move east and west from the 8thStreet pedestrian bridge. Milepost markers are not always physically marked on the ground. This data set shows mileposts along the trail centerline and is not meant to represent the physical demarcation of the mileposts. Physical markers, if they exist, will be relatively nearby the point defined in this data set.This data set was created by Boise City GIS in cooperation with Boise State University based off of GPS data and heads up digitizing against available GIS trail and orthophotography data. The data has been reviewed by parks, police, and fire staff from several local agencies in Ada County. The data is believed to be generally accurate. This data set is updated irregularly as new GPS data is collected or as changes to the trail system in different jurisdictions occur. The data set is current to the last date of publication.

IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 27th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here Flood maps are created by combining hydraulic model results with high-accuracy ground information. Field surveys and LiDAR remote sensing are used to collect river and floodplain elevations, channel cross section data, bridge and culvert information, and flood berm details. A hydrology assessment using recorded and historic flow measurements is typically used to estimate river flows for a wide range of possible open water floods with different chances of occurring each year. When appropriate, an ice jam frequency analysis is undertaken. All this information is used to build a hydraulic model of a river system, which is calibrated using highwater marks and aerial imagery from past floods to ensure that results for the different flood flows being mapped are reasonable. Flood inundation maps show areas at risk for different sized floods, including ice jam floods in some communities. These maps also identify areas that could be flooded if berms or other flood control structures fail and are typically used for emergency response planning and to inform local infrastructure design. Flood hazards have not been identified along all rivers or through all communities, and it is important to remember that risk exists in areas without provincial flood maps. Visit www.floodhazard.alberta.ca for more information about the Flood Hazard Identification Program. The website includes different sections for final flood studies and for draft flood studies. Flood maps can be viewed directly using the Flood Awareness Map Application at floods.alberta.ca. The Alberta Flood Mapping GIS dataset is updated when new information is available or existing information changes; therefore, the Government of Alberta assumes no responsibility for discrepancies at the time of use.Posted on 2020-12-22 to GeoDiscover Alberta by Alberta Environment and Parks.

River city Housing’s mission is to improve the quality of life for low and moderate-income families and strengthen neighborhoods by developing safe and affordable housing. We believe so strongly in homeownership because owners benefit by gaining equity through the property and value of their home, achieving housing stability for themselves and their families, and receiving all of the added benefits homeownership offers.

Scouring of streambed material surrounding bridge structures is a leading cause of bridge failure in the United States. Damages resulting from bridge failure oftentimes lead to financial burdens and loss of life. To date, there has been no comprehensive evaluation of the current (2016) effectiveness of the guidance or overall long-term performance of bridge-scour countermeasures provided in the Federal Highway Administration, Hydraulic Engineering Circular No. 23, Bridge Scour and Stream Instability Countermeasures. To that end, the U.S. Geological Survey, in cooperation with the Federal Highway Administration, obtained bathymetric, topographical, and other data at 20 of the surveyed sites across the United States to begin an evaluation of the effectiveness of bridge-scour countermeasures. This report presents survey site selection criteria, site-specific details, the bathymetric and topographical surveying methods used to collect data, and the compilation of the acquired data.Supplemental topographic and bathymetric data were collected within the study area to assist in the description of the geomorphological characteristics of the features in and near the surveyed reach. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.

These data are supplemental rip-rap gradation data (Wolman Pebble Count) in text (.txt) format, collected during 2014-2018 field seasons for select bridges in the United States. These data were collected using a measuring tape to determine riprap gradation (D15, D50, D85, and D100) on in-place riprap at bridge piers and/or abutments at various locations in each study reach. They supplement the Geospatial Data for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016–18. For high-resolution sites, traditional multibeam surveys were conducted using methods described in Huizinga (2015).These data provide gradation data to verify countermeasure plans. Supplemental topographic data and cross sections were also collected within the study area to assist in the description of the geomorphological characteristics of the features in and near the surveyed reach. These data are intended for science researchers, policy makers, and hydraulic engineers interested in assessing the condition of the channel bed and the scour countermeasures in place around the bridge foundations.

River City Housing has created a partnership with green builder Sy Safi, of Uber Green Spaces to begin construction on a pilot new construction, passive design house that is zero-energy ready. A passive house incorporates a set of design principles for energy efficiency to reduce the building’s ecological footprint. It results in extremely-low energy buildings that require very little to no energy for heating and cooling the space. This house will be a green, energy-efficient, high-performing, healthy home.

The map and digital data layers present historic sites described in these sources: Maryland’s Upper Choptank River and Tuckahoe River Cultural Resource Inventory (1999)Lower Choptank River Cultural Resource Inventory (2002)1875 Isler Map of Caroline County1897 Salisbury Map of Caroline CountyDenton Journal, 1865-1965National Register of Historic Places (NRHP) sites in the upper Choptank watershedMaryland Historical Trust (MHT) sites in the upper Choptank watershedPurposeChoptank River Heritage (CRH) is a not-for-profit effort based in Caroline County, Maryland. CRH carries out research into historic maps and other sources and publishes digital maps and narratives about people, places, and events in the county's past. We seek to nurture a sense of place, encourage historic preservation, and promote conservation of the Choptank and Tuckahoe Rivers and the county's natural environment.Online ResourceChoptank River Heritage WebsiteData Creation Date2012-08-28Map Publication Date2016-12-20Contact InformationContact NameDon BarkerOrganization NameChoptank River Heritage (CRH)Position NameGeographer-HistorianRoleAuthorContact InstructionsBy email only:info@choptankriverheritage.org

Imagine you are sailing down a wide river and observing the changing landscape on either side. Fields give way to forests, tributaries and streams flow into the river, bridges cross over, and you know that one side of the river is managed by a government agency, while the other is subdivided into land ownership parcels of different sizes. The connectedness, adjacency, and proximity between these features can be summed up in one word: topology.Geodatabase topology allows you to define the spatial relationships you want protected in your GIS data. By doing so, no matter how much you edit, twist, bend, or squash your feature data, things stay connected, adjacent, or within the areas they belong. This course is designed to get you started with geodatabase topology.After completing this course, you will be able to:Use visual inspection and topology to identify and correct errors.Build a geodatabase topology.Choose and apply topology rules.

The Neighborhood Summit is an annual conference open to all neighborhood leaders and potential partners, which showcases community building success stories and celebrates neighborhoods across the community.

Parkland Plaza is anchored in community visioning work that began with the resident-driven Parkland Neighborhood Plan in 2016 and adapted through ongoing community engagement facilitated by the Center for Neighborhoods. For project details see More Details.

The project lead for the collection of this data was Carrington Hilson. Elk (15 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2018-2021. The Mad River herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. The methodology used for this migration analysis allowed for the mapping of the herd''s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 11 elk, including 23 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.

Fence is a structure functioning as a boundary or barrier, usually made of posts, boards, wire or rails. On retaining walls, bridges, R/D ponds (maint.), only obvious KC