City of Golden Zoning areas

This Zoning feature class is an element of the Oregon GIS Framework statewide, Zoning spatial data. This version is authorized for public use. Attributes include zoning districts that have been generalized to state classes. As of June 30, 2023, this feature class contains zoning data from 229 local jurisdictions. DLCD plans to continue adding to and updating this statewide zoning dataset as they receive zoning information from the local jurisdictions. Jurisdictions included in the latest version of the statewide zoning geodatabase: Cities: Adams, Adrian, Albany, Amity, Antelope, Ashland, Astoria, Athena, Aurora, Banks, Barlow, Bay City, Beaverton, Bend, Boardman, Bonanza, Brookings, Brownsville, Burns, Butte Falls, Canby, Cannon Beach, Carlton, Cascade Locks, Cave Junction, Central Point, Chiloquin, Coburg, Columbia City, Coos Bay, Cornelius, Corvallis, Cottage Grove, Creswell, Culver, Dayton, Detroit, Donald, Drain, Dufur, Dundee, Dunes City, Durham, Eagle Point, Echo, Enterprise, Estacada, Eugene, Fairview, Falls City, Florence, Forest Grove, Fossil, Garibaldi, Gaston, Gates, Gearhart, Gervais, Gladstone, Gold Beach, Gold Hill, Grants Pass, Grass Valley, Gresham, Halsey, Happy Valley, Harrisburg, Helix, Hermiston, Hillsboro, Hines, Hood River, Hubbard, Idanha, Independence, Jacksonville, Jefferson, Johnson City, Jordan Valley, Junction City, Keizer, King City, Klamath Falls, La Grande, La Pine, Lafayette, Lake Oswego, Lebanon, Lincoln City, Lowell, Lyons, Madras, Malin, Manzanita, Maupin, Maywood Park, McMinnville, Medford, Merrill, Metolius, Mill City, Millersburg, Milton-Freewater, Milwaukie, Mitchell, Molalla, Monmouth, Moro, Mosier, Mount Angel, Myrtle Creek, Myrtle Point, Nehalem, Newberg, Newport, North Bend, North Plains, Nyssa, Oakridge, Ontario, Oregon City, Pendleton, Philomath, Phoenix, Pilot Rock, Port Orford, Portland, Prescott, Prineville, Rainier, Redmond, Reedsport, Rivergrove, Rockaway Beach, Rogue River, Roseburg, Rufus, Saint Helens, Salem, Sandy, Scappoose, Scio, Scotts Mills, Seaside, Shady Cove, Shaniko, Sheridan, Sherwood, Silverton, Sisters, Sodaville, Spray, Springfield, Stanfield, Stayton, Sublimity, Sutherlin, Sweet Home, Talent, Tangent, The Dalles, Tigard, Tillamook, Toledo, Troutdale, Tualatin, Turner, Ukiah, Umatilla, Vale, Veneta, Vernonia, Warrenton, Wasco, Waterloo, West Linn, Westfir, Weston, Wheeler, Willamina, Wilsonville, Winston, Wood Village, Woodburn, Yamhill. Counties: Baker County, Benton County, Clackamas County, Clatsop County, Columbia County, Coos County, Crook County, Curry County, Deschutes County, Douglas County, Harney County, Hood River County, Jackson County, Jefferson County, Josephine County, Klamath County, Lane County, Lincoln County, Linn County, Malheur County, Marion County, Multnomah County, Polk County, Sherman County, Tillamook County, Umatilla County, Union County, Wasco County, Washington County, Wheeler County, Yamhill County. R emaining jurisdictions either chose not to share data to incorporate into the public, statewide dataset or did not respond to DLCD’s request for data. These jurisdictions’ attributes are designated “not shared” in the orZDesc field and “NS” in the orZCode field.

Wind energy projects that pose a low risk to eagles are activities sited in areas where eagle abundance is known to be low. We defined low-exposure zones as areas where abundance is below a defined threshold such that: (1) we can confidently predict that eagles will be infrequently exposed to wind turbines in the area; and (2) Stage 2 (site-specific in-field) eagle use surveys are unlikely to yield information useful in generating a fatality prediction for the wind energy project. Although our focus is on low-exposure for wind energy projects, the general concept applies to other activities that may incidentally take eagles as well. Proposed wind energy projects that meet the low risk criteria have the option of skipping the required 2 years of site-specific surveys, and will be able to implement a simplified post-construction fatality monitoring protocol focused on confirming the low-risk characterization of the site. Operating wind energy projects that meet low-risk criteria that wish to obtain an eagle incidental take permit may also take advantage of aspects of the low-risk permit approach to expedite permitting. The low-exposure zone is indicated in green, non low-exposure in purple. Abundance thresholds were determined separately for bald and golden eagles, and maps are provided for each threshold combination we considered. Combinations include: bald eagle / golden eagle products at 20/30, 50/30, and 80/30 quantiles; and individual BAEA maps for the 20, 50, and 80th quantiles.

Infrastructure, such as roads, airports, water and energy transmission and distribution facilities, sewage treatment plants, and many other facilities, is vital to the sustainability and vitality of any populated area. Rehabilitation of existing and development of new infrastructure requires three natural resources: natural aggregate (stone, sand, and gravel), water, and energy http://rockyweb.cr.usgs.gov/frontrange/overview.htm.

The principal goals of the U.S. Geological Survey (USGS) Front Range Infrastructure Resources Project (FRIRP) were to develop information, define tools, and demonstrate ways to: (1) implement a multidisciplinary evaluation of the distribution and quality of a region's infrastructure resources, (2) identify issues that may affect availability of resources, and (3) work with cooperators to provide decision makers with tools to evaluate alternatives to enhance decision-making. Geographic integration of data (geospatial databases) can provide an interactive tool to facilitate decision-making by stakeholders http://rockyweb.cr.usgs.gov/frontrange/overview.htm.

Examples of linework include: Dog Mushing Trails - part of the Mount Lorne/Carcross Road Area Plan, Schedule B - Land Use Plan200 Metre River Setback - part of the Golden Horn Local Area Plan, Schedule A, Land Management Plan Distributed from GeoYukon by the Government of Yukon . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: geomatics.help@yukon.ca

A three-dimensional geologic map was created by assembling eight geologic cross sections derived from geologic mapping, potential field geophysics, and petroleum well logs. The central feature of the map is the San Andreas Fault, with many other prominent structural features depicted that express the regional transpressional tectonic setting.
The subsurface interpretation was based on existing two-dimensional geologic mapping and modified by new geologic mapping by USGS geologists between 2005-2014. Existing gravitational anomaly and magnetic anomaly maps helped guide subsurface interpretations. The result is a three-dimensional model that depicts the geologic units, faults, and folds of the region in a model that can be viewed from any perspective and sliced in any direction. Once the map was assembled, kinematic modeling was conducted using the modeling software’s forward and reverse deformation algorithms. These exercises were in part experimental, to assess how well the so ...

ADMMR map collection: Roadside Mine, Preliminary Geologic Map, No. 1 Gold Zone; 1 in. to 100 feet; 36 x 24 in.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The mapping component of the GOSP project used a combination of methods to interpret and delineate vegetation polygons. The initial set of polygons was drawn and annotated in the field on a 1:3500-scale print of the base true-color orthoimagery. The lines were transferred to a digital environment in an ArcMap personal geodatabase using on-screen digitizing methods. Each polygon was assigned a map class number, alpha code and name, Anderson land use class, and vegetation density, pattern, and height attributes. In order to improve the utility of the map and related data, the spatial database was moved into a geodatabase format, the general structure of which is illustrated in Figure 13. This format allows text and image information to be incorporated and linked to spatial coordinates. Detailed documentation of the geodatabase is provided in Appendix C. All geospatial products associated with this project are in the UTM projection, NAD83, Zone 12.

The placer potential mapping process consisted of applying a classification rating of 1 to 5 (lowest to highest) for all streams within the planning area. Factors affecting a stream's potential included development history and hard rock mining potential (gold deposit potential). Terrain attributes such as potential overburden thichness, water flow, or local topography were not factored into the rating due to lack of knowledges for most unmined drainages.

ADMMR map collection: Gold Basin Red Cloud Zone Drill Hole Location Map; 1 in. to 50 feet; 42 x 36 in.

Under proposed Alternatives 3 and 4 in the draft Environmental Assessment for the proposed rule (Permits for Incidental Take of Eagles and Eagle Nests), wind facilities would be eligible for a general permit or a specific permit based, in part, on eagle abundance data. This map of the coterminous U.S. shows where projects would be eligible to self-certify for a general permit if they meet all of the criteria, or apply for a specific permit. Existing projects that are only eligible for specific permits may be determined to qualify for a general permit upon Service review of their permit application. See the Federal Register Notice for information about submitting comments on the proposed rule and draft environmental review. Permit eligibility zones are based on eBird relative abundance estimates for bald eagles and golden eagles throughout the coterminous United States at 8 km2 resolution for each of five periods (breeding, fall, migration, spring, winter). Using multiple seasons of data provides better measures of relative abundance for mapping purposes (Johnston et al. 2020), and our goal was to identify locations with high relative abundance of eagles in any one season. For each eagle species we evaluated non-zero relative abundance data for each season using custom R scripts in Program R (R Core Team 2021). We identified cells that had relative abundance values in each season that were at or above the relevant quantile threshold value. We combined these species-specific, seasonal layers into a single layer that indicates cells that did not exceed the relative abundance thresholds in any season and cells that exceeded one or more threshold. We then created maps of the permit eligibility zones (i.e., grid cells that did not exceed the relative abundance threshold in any season) for several scenarios for each eagle species. This map includes a combined proposed general permit zone consisting of areas where golden eagle abundance is 50% or less than golden eagle abundance elsewhere in the lower 48 states within each season and bald eagle abundance is 95% or less than it is elsewhere in the lower 48 states in each season. This raster layer uses an equal-area sinusoidal projection that is used by eBird status and trend products, including relative abundance data (this projection is also used for NASA MODIS data). Note: We advise that users reproject any layers they wish to conduct spatial overlay analyses with into the same sinusoidal projection as this layer to ensure the most accurate geospatial representation of the data. Cell values of 0 indicates cells where a wind project may be eligible for self-certified general permit if other qualification criteria are met under the proposed regulation. Cell values of 1 indicates cells where a wind project would be eligible for a simplified specific permit. Additional technical details about map development can be found in Appendix A of the draft Environmental Assessment for the Proposed Eagle Incidental Take Rule revision.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This work has been published in the Nature Scientific Data. Suggested citation: Rajib et al. The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset. Nature Scientific Data 8, 271 (2021). https://doi.org/10.1038/s41597-021-01048-w

Here, we present the first-available dataset that quantifies land use change along the floodplains of the Mississippi River Basin (MRB) covering 60 years (1941-2000) at 250-m resolution. The MRB is the fourth largest river basin in the world (3.3 million sq km) comprising 41% of the United States and draining into the Gulf of Mexico, an area with an annually expanding and contracting hypoxic zone resulting from basin-wide over-enrichment of nutrients. The basin represents one of the most engineered systems in the world, and includes complex web of dams, levees, floodplains, and dikes. This new dataset reveals the heterogenous spatial extent of land use transformations in MRB floodplains. The domination transition of floodplains has been from natural ecosystems (e.g. wetlands or forests) to agricultural use. A steady increase in developed land use within the MRB floodplains was also evident.

To maximize the reuse of this dataset, our contributions also include four unique products: (i) a Google Earth Engine interactive map visualization interface: https://gishub.org/mrb-floodplain (ii) a Google-based Python code that runs in any internet browser: https://colab.research.google.com/drive/1vmIaUCkL66CoTv4rNRIWpJXYXp4TlAKd?usp=sharing (iii) an online tutorial with visualizations facilitating classroom application of the code: https://serc.carleton.edu/hydromodules/steps/241489.html (iv) an instructional video showing how to run the code and partially reproduce the floodplain land use change dataset: https://youtu.be/wH0gif_y15A

This layer is displayed on the Zone map in the City Plan version 7 as 'Functional road hierarchy', and all index maps as 'Major road network'. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html 리소스 HTML Functional road hierarchy 이동 This layer is displayed on the Zone map in the City Plan version 7 as 'Functional road hierarchy', and all index maps as 'Major road network'. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html

Wind energy projects that pose a low risk to eagles are activities sited in areas where eagle abundance is known to be low. We defined low-exposure zones as areas where abundance is below a defined threshold such that: (1) we can confidently predict that eagles will be infrequently exposed to wind turbines in the area; and (2) Stage 2 (site-specific in-field) eagle use surveys are unlikely to yield information useful in generating a fatality prediction for the wind energy project. Although our focus is on low-exposure for wind energy projects, the general concept applies to other activities that may incidentally take eagles as well. Proposed wind energy projects that meet the low risk criteria have the option of skipping the required 2 years of site-specific surveys, and will be able to implement a simplified post-construction fatality monitoring protocol focused on confirming the low-risk characterization of the site. Operating wind energy projects that meet low-risk criteria that wish to obtain an eagle incidental take permit may also take advantage of aspects of the low-risk permit approach to expedite permitting. The low-exposure zone is indicated in green, non low-exposure in purple. Abundance thresholds were determined separately for bald and golden eagles, and maps are provided for each threshold combination we considered. Combinations include: bald eagle / golden eagle products at 20/30, 50/30, and 80/30 quantiles; and individual BAEA maps for the 20, 50, and 80th quantiles.

The Transportation Tomorrow Survey (TTS) is a travel survey conducted in Ontario's Greater Golden Horseshoe asking detailed questions about respondents' travel behaviour. You can learn more from the Data Management Group's website.This map shows trips identified as work trips which at some point use the GO Transit network as a fraction of total work trips made. The GO Transit 2018 rail network is included to allow viewers to identify how rail corridors intensify go transit use. Geographically, the area is divided into traffic zones to allow for a greater level of detail in visualizing the spatial distribution of GO Transit use.

The map and descriptions offer information that may be used for: land-use planning (e.g. selecting land fill sites, greenbelts, avoiding geologic hazards), for finding aggregate resources (crushed rock, sand, and gravel), for study of geomorphology and Quaternary geology. Geologic hazards (e.g., landslides, swelling soils, heaving bedrock, and flooding) known to be located in, or characteristic of some mapped units, were identified.

Surficial deposits in the quadrangle partially record depositional events of the Quaternary Period (the most recent 1.8 million years). Some events such as floods are familiar to persons living in the area, while other recorded events are pre-historical. The latter include glaciation, probable large earthquakes, protracted drought, and widespread deposition of sand and silt by wind. At least twice in the past 200,000 years (most recently about 30,000 to 12,000 years ago) global cooling caused glaciers to form along the Continental Divide. The glaciers advanced down valleys in the Front Range, deeply eroded the bedrock, and deposited moraines (map units tbg, tbj) and outwash (ggq, gge). On the plains (east part of map), eolian sand (es), stabilized dune sand (ed), and loess (elb) are present and in places contain buried paleosols. These deposits indicate that periods of sand dune deposition alternated with periods of stabilized dunes and soil formation.

Thirty-nine types of surficial geologic deposits and residual materials of Quaternary age are described and mapped in the greater Denver area, in part of the Front Range, and in the piedmont and plains east of Denver, Boulder, and Castle Rock. Descriptions appear in the pamphlet that accompanies the map. Landslide deposits, colluvium, residuum, alluvium, and other deposits or materials are described in terms of predominant grain size, mineral or rock composition (e.g., gypsiferous, calcareous, granitic, andesitic), thickness of deposits, and other physical characteristics. Origins and ages of the deposits and geologic hazards related to them are noted. Many lines between geologic units on our map were placed by generalizing contacts on published maps. However, in 1997-1999 we mapped new boundaries, as well. The map was projected to the UTM projection. This large map area extends from the Continental Divide near Winter Park and Fairplay ( on the west edge), eastward about 107 mi (172 km); and extends from Boulder on the north edge to Woodland Park at the south edge (68 mi; 109 km).

Compilation scale: 1:250,000. Map is available in digital and print-on-demand paper formats. Deposits are described in terms of predominant grain size, mineralogic and lithologic composition, general thickness, and geologic hazards, if any, relevant geologic historical information and paleosoil information, if any. Thirty- nine map units of deposits include 5 alluvium types, 15 colluvia, 6 residua, 3 types of eolian deposits, 2 periglacial/disintegrated deposits, 3 tills, 2 landslide units, 2 glaciofluvial units, and 1 diamicton. An additional map unit depicts large areas of mostly bare bedrock.

The physical properties of the surficial materials were compiled from published soil and geologic maps and reports, our field observations, and from earth science journal articles. Selected deposits in the field were checked for conformity to descriptions of map units by the Quaternary geologist who compiled the surficial geologic map units.

FILES INCLUDED IN THIS DATA SET:

denvpoly: polygon coverage containing geologic unit contacts and labels. denvline: arc coverage containing faults. geol_sfo.lin: This lineset file defines geologic line types in the geologically themed coverages. geoscamp2.mrk: This markerset file defines the geologic markers in the geologically themed coverages. color524.shd: This shadeset file defines the cmyk values of colors assigned to polygons in the geologically themed coverages.

This layer is displayed on the Zone map in City Plan version 4 as 'Rural, Rural landscape and environment precinct', and identifies the designated Rural landscape and environment precinct. The layer is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit http://www.goldcoast.qld.gov.au/planning-and-building/city-plan-2015-19859.html

Maps on sheet 9 show the thickness and the depth to base of uppermost Pleistocene and Holocene (post-LGM) deposits, both for the Offshore of San Gregorio map area and, to establish regional context, for a larger area (about 91 km of coast) that extends from the Bolinas area to the Pescadero Point area. To make these maps, water bottom and depth to base of the LGM horizons were mapped from seismic-reflection profiles using Seisworks software. The difference between the two horizons was exported from Seisworks for every shot point as XY coordinates (UTM zone 10) and two-way travel time (TWT). The thickness of the post-LGM unit was determined by applying a sound velocity of 1,600 m/sec to the TWT, resulting in thicknesses as great as about 57 m. The thickness points were interpolated to a preliminary continuous surface, overlaid with zero-thickness bedrock outcrops, and contoured. Several factors required manual editing of the preliminary sediment-thickness maps to make the final product. The San Andreas, San Gregorio, and Golden Gate Faults disrupt the sediment sequence in the region. The thickness data points also are dense along tracklines (about 1 m apart) and sparse between tracklines (1 km apart), resulting in contouring artifacts. To incorporate the effect of the faults, to remove irregularities from interpolation, and to reflect other geologic information and complexity, the resulting interpolated contours were modified. Contour modifications and regridding were repeated several times to produce the final regional sediment-thickness map (Wong and others, 2012). Information for the depth to base of the post-LGM unit was generated by adding the thickness data to water depths determined by multibeam bathymetry. The thickness of the post-LGM unit in the Offshore of San Gregorio map area ranges from 0 to 23 m, and the depth to the base of this unit ranges from less than 10 to 76 m. The most rapid changes in thickness are in the southern part of the map area along the west flank of the Pigeon Point high, offshore of Pescadero Point. Mean sediment thickness for the map area is 3.1 m, and the total sediment volume is 320×106 m3. The relatively thin sediment cover in most of the map area suggests a lack of sediment accommodation space, which is consistent with regional uplift. The uplift raises and exposes much of the shallow shelf to the high wave energy that is characteristic of this region, so that sediments are efficiently reworked and transported off the inner shelf and midshelf areas to deeper water. Five different domains of sediment thickness are recognized on the regional sediment-thickness map: (1) the Bolinas shelf, located west of the east strand of the San Gregorio Fault Zone, in the northwestern part of the regional map; (2) the San Andreas graben, located between the San Gregorio Fault Zone and the Golden Gate Fault, east-southeast of the Bolinas shelf and both southwest and southeast of the Marin shelf; (3) the Marin shelf, located both northeast and northwest of the San Andreas graben and north of the San Francisco ebb-tidal delta paleovalley; (4) the northeast-trending San Francisco ebb-tidal delta paleovalley, located outside the Golden Gate at the mouth of San Francisco Bay, between the Marin shelf and San Andreas graben on the north and the Pacifica-Pescadero shelf on the south; and (5) the Pacifica-Pescadero shelf, which is located south of the San Francisco ebb-tidal delta paleovalley and which extends south all the way to Pescadero Point (including all of the Offshore of San Gregorio map area).

The full City Plan Version 8 map is also available in Council’s City Plan interactive mapping tool. For further information on City Plan, please visit www.goldcoast.qld.gov.au/planning-and-building