This is the official city street map for the City of Santa Rosa, California. It was created by the City of Santa Rosa GIS staff. It was last updated February 2024. City staff is available to print this map if you visit their office at 90 Santa Rosa Ave in Santa Rosa. More details on printing costs are found on the City website here:https://srcity.org/835/Other-Fee-Based-Services

http://www.victoria.ca/EN/main/online-services/maps/pdf-maps.html

A number of pre-made PDF maps are available for download on the City of Victoria website.

PDF maps of each neighbourhood in the City of Victoria (multiple pages). Prints best on 11x17 (tabloid) sized paper.

Geospatial data about City of San Diego, California Water Pipes. Export to CAD, GIS, PDF, CSV and access via API.

The map title is Vancouver-Stanley. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. The Stanley Park area, immediately northwest of downtown, is bordered on the east by Burrard Inlet and on the south by Coal Harbour. A wavy symbol indicates water. The points of interest in the Stanley Park area of Vancouver are labelled with type and Braille expanded in the PDF file. Main streets and secondary streets are labelled with type and Braille expanded in the PDF file. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

The map title is Montréal-Central. Tactile map scale. 2.0 centimetres = 250 metres North arrow pointing to the north. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. Montréal downtown details are coded with type and Braille expanded in the PDF file. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

The map title is Regina. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. Regina downtown detail is coded with type and Braille expanded on legends in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. Railroad. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

A 36" x 36" (3 foot by 3 foot) PDF map of the City of Victoria with street labels.

Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/ Data Creation Documentation and Procedures Software Used The spatial vector data were created using ArcGIS Pro 2.9.0 in December 2021. PDF File Conversions Using Adobe Acrobat Pro DC software, the following downloaded PDF map images were converted to TIF format. 9028-cp-official-plan-Map-14_LandUse_AODA.pdf 9042-cp-official-plan-Map-22_LandUse_AODA.pdf 9070-cp-official-plan-Map-20_LandUse_AODA.pdf 908a-cp-official-plan-Map-13_LandUse_AODA.pdf 978e-cp-official-plan-Map-17_LandUse_AODA.pdf 97cc-cp-official-plan-Map-15_LandUse_AODA.pdf 97d4-cp-official-plan-Map-23_LandUse_AODA.pdf 97f2-cp-official-plan-Map-19_LandUse_AODA.pdf 97fe-cp-official-plan-Map-18_LandUse_AODA.pdf 9811-cp-official-plan-Map-16_LandUse_AODA.pdf 982d-cp-official-plan-Map-21_LandUse_AODA.pdf Georeferencing and Reprojecting Data Files The original projection of the PDF maps is unknown but were most likely published using MTM Zone 10 EPSG 2019 as per many of the City of Toronto's many datasets. They could also have possibly been published in UTM Zone 17 EPSG 26917 The TIF images were georeferenced in ArcGIS Pro using this projection with very good results. The images were matched against the City of Toronto's Centreline dataset found here The resulting TIF files and their supporting spatial files include: TOLandUseMap13.tfwx TOLandUseMap13.tif TOLandUseMap13.tif.aux.xml TOLandUseMap13.tif.ovr TOLandUseMap14.tfwx TOLandUseMap14.tif TOLandUseMap14.tif.aux.xml TOLandUseMap14.tif.ovr TOLandUseMap15.tfwx TOLandUseMap15.tif TOLandUseMap15.tif.aux.xml TOLandUseMap15.tif.ovr TOLandUseMap16.tfwx TOLandUseMap16.tif TOLandUseMap16.tif.aux.xml TOLandUseMap16.tif.ovr TOLandUseMap17.tfwx TOLandUseMap17.tif TOLandUseMap17.tif.aux.xml TOLandUseMap17.tif.ovr TOLandUseMap18.tfwx TOLandUseMap18.tif TOLandUseMap18.tif.aux.xml TOLandUseMap18.tif.ovr TOLandUseMap19.tif TOLandUseMap19.tif.aux.xml TOLandUseMap19.tif.ovr TOLandUseMap20.tfwx TOLandUseMap20.tif TOLandUseMap20.tif.aux.xml TOLandUseMap20.tif.ovr TOLandUseMap21.tfwx TOLandUseMap21.tif TOLandUseMap21.tif.aux.xml TOLandUseMap21.tif.ovr TOLandUseMap22.tfwx TOLandUseMap22.tif TOLandUseMap22.tif.aux.xml TOLandUseMap22.tif.ovr TOLandUseMap23.tfwx TOLandUseMap23.tif TOLandUseMap23.tif.aux.xml TOLandUseMap23.tif.ov Ground control points were saved for all georeferenced images. The files are the following: map13.txt map14.txt map15.txt map16.txt map17.txt map18.txt map19.txt map21.txt map22.txt map23.txt The City of Toronto's Property Boundaries shapefile, "property_bnds_gcc_wgs84.zip" were unzipped and also reprojected to EPSG 26917 (UTM Zone 17) into a new shapefile, "Property_Boundaries_UTM.shp" Mosaicing Images Once georeferenced, all images were then mosaiced into one image file, "LandUseMosaic20211220v01", within the project-generated Geodatabase, "Landuse.gdb" and exported TIF, "LandUseMosaic20211220.tif" Reclassifying Images Because the original images were of low quality and the conversion to TIF made the image colours even more inconsistent, a method was required to reclassify the images so that different land use classes could be identified. Using Deep learning Objects, the images were re-classified into useful consistent colours. Deep Learning Objects and Training The resulting mosaic was then prepared for reclassification using the Label Objects for Deep Learning tool in ArcGIS Pro. A training sample, "LandUseTrainingSamples20211220", was created in the geodatabase for all land use types as follows: Neighbourhoods Insitutional Natural Areas Core Employment Areas Mixed Use Areas Apartment Neighbourhoods Parks Roads Utility Corridors Other Open Spaces General Employment Areas Regeneration Areas Lettering (not a land use type, but an image colour (black), used to label streets). By identifying the letters, it then made the reclassification and vectorization results easier to clean up of unnecessary clutter caused by the labels of streets. Reclassification Once the training samples were created and saved, the raster was then reclassified using the Image Classification Wizard tool in ArcGIS Pro, using the Support...

The map title is Montréal-Concordia. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. The details of the downtown area of Montréal around Concordia University are coded with type and Braille expanded in the PDF file. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

The map title is Vancouver-Chinatown. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. The Chinatown area is bordered on the south by False Creek, which is symbolized with a wavy symbol to indicate water. The points of interest in the downtown area of Vancouver around Chinatown are labelled with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

This map is a representation of each depth layers in the Surface Ponding map from the 2014 Flood Mitigation Study.

This map representation was created as a result of a 2013 to 2016 study done for the Edmonton area to determine the vulnerable areas of Edmonton in regards to a 1 in 100 year rainfall event.

Due to the constant changing of subsurface infrastructure (adding, upgrading, etc.) combined with the constant changing definition of a 1 in 100 year rainfall event (based on historic rainfall amounts), this raster file reflects the results of a study done in 2016 and should neither suggest previous year’s vulnerabilities nor future year’s vulnerabilities.

There are four different colours to show the depth of water that might pool on the ground during a large rainstorm.

Those colours are:

Green (representing a ponding depth from 0.00 - 0.35 m) Yellow (representing a ponding depth from 0.35 - 0.50 m) Orange (representing a ponding depth from 0.50 to 0.75 m) Red (representing a ponding depth greater than 0.75 m)

For a more information regarding the Flood Risk Maps and the City’s proactive strategy see : https://www.edmonton.ca/city_government/documents/RoadsTraffic/City-wide_Flood_Mitigation_Study.pdf

This dataset is based on 2014 information and will not be updated further. The model is based on a theoretical, worst-case scenario storm that has never occurred in the Edmonton area.

Model Accuracy:

For Areas west and central Digital Elevation Model was used from 2004. For the rest of the areas Bare Earth LiDar data was used. The surface data used was set to a horizontal resolution of 2.5 meters with a grid cell of 5m by 5m. This puts the vertical resolution at an accuracy of 0.1 meters.

This is a spline fit interpolations model. This is a 1D-1D model with 2D interpolations.The accuracy of the information provided in these data sets is plus or minus 10 cm vertically, and 10 cm horizontally.

The 100 year flood was based on the 2015 Edmonton 4 year Chicago storm event over 20 plus neighbourhoods. The data is a collection of the worst case scenario of model runs.
This is a common practice for Edmonton drainage models. These models are high level concept and projects determined from this data set will undergo finer, more detailed modeling.

Disclaimer: No Warranty with Flood Risk Maps. Your use of the flood risk maps is solely at your own risk, and you are fully responsible for any consequences arising from your use of the flood risk maps. The flood risk maps are provided on an “as is” and “as available” basis, and you agree to use them solely at your own risk. There are no warranties, expressed or implied in respect to the flood risk maps or your use of them, including without limitation, implied warranties and conditions of merchantability and fitness for any particular purpose. Please note that the flood risk maps have been modified from their original source, and that all data visualization on maps are approximate and include only records that can be mapped.

Geo Coordinate System: WGS84

The map title is Windsor. Tactile map scale. 2.0 centimetres = 100 metres North arrow pointing to the north. Windsor downtown details are coded with type and Braille expanded in the PDF file. Main streets are coded with type and Braille expanded in the PDF file. Secondary streets are not labelled. The Detroit River is located at the upper left and shown with a wavy symbol to indicate water. The Detroit Windsor Tunnel is shown as a dashed line. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

This pipe feature class represents current wastewater information of the mainline sewer in the City of Los Angeles. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most rigorous geographic information of the storm drain system using a geometric network model, to ensure that its storm drains reflect current ground conditions. The conduits and inlets represent the storm drain infrastructure in the City of Los Angeles. Storm drain information is available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works.Associated information about the wastewater Pipe is entered into attributes. Principal attributes include:PIPE_SUBTYPE: pipe subtype is the principal field that describes various types of lines as either Airline, Force Main, Gravity, Siphon, or Special Lateral.For a complete list of attribute values, please refer to (TBA Wastewater data dictionary). Wastewater pipe lines layer was created in geographical information systems (GIS) software to display the location of sewer pipes. The pipe lines layer is a feature class in the LACityWastewaterData.gdb Geodatabase dataset. The layer consists of spatial data as a line feature class and attribute data for the features. The lines are entered manually based on wastewater sewer maps and BOE standard plans, and information about the lines is entered into attributes. The pipe lines are the main sewers constructed within the public right-of-way in the City of Los Angeles. The ends of line segments, of the pipe lines data, are coincident with the wastewater connectivity nodes, cleanout nodes, non-structures, and physical structures points data. Refer to those layers for more information. The wastewater pipe lines are inherited from a sewer spatial database originally created by the City's Wastewater program. The database was known as SIMMS, Sewer Inventory and Maintenance Management System. For the historical information of the wastewater pipe lines layer, refer to the metadata nested under the sections Data Quality Information, Lineage, Process Step section. Pipe information should only be added to the Wastewater Pipes layer if documentation exists, such as a wastewater map approved by the City Engineer. Sewers plans and specifications proposed under private development are reviewed and approved by Bureau of Engineering. The Department of Public Works, Bureau of Engineering's, Brown Book (current as of 2010) outlines standard specifications for public works construction. For more information on sewer materials and structures, look at the Bureau of Engineering Manual, Part F, Sewer Design, F 400 Sewer Materials and Structures section, and a copy can be viewed at http://eng.lacity.org/techdocs/sewer-ma/f400.pdf.List of Fields:STREET: This is the street name and street suffix on which the pipe is located.PIPE_LABEL: This attribute identifies the arc segment between two nodes, which represents the pipe segment. There could be any number of pipes between the same two maintenance holes and at least one. If there is more than one pipe between the same two maintenance holes, then a value other than 'A' is assigned to each pipe, such as the value 'B', 'C', and so on consecutively. Also, when a new pipe is constructed, some old pipes are not removed from the ground and the new pipe is added around the existing pipe. In this case, if the original pipe was assigned an 'A', the new pipe is assigned a 'B'.C_UP_INV: This is the calculated pipe upstream invert elevation value.PIPE_MAT: The value signifies the various materials that define LA City's sewer system. Values: • TCP - Terra Cotta pipe. • CMP - Corrugated metal pipe. • RCP - Reinforced concrete pipe. Used for sewers larger than 42inch, with exceptions. • PCT - Polymer concrete pipe. • CON - Concrete or cement. • DIP - Ductile iron pipe. • ABS - Acrylonitrile butadiene styrene. • STL - Steel. • UNK - Unknown. • ACP - Asbestos cement pipe. • RCL - Reinforced concrete pipe lined. • OTH - Other or unknown. • VCP - Vitrified clay pipe. • TRS - Truss pipe. • CIP - Cast iron pipe. • PVC - Polyvinyl chloride. • BRK - Brick. • RCPL - Lined Reinforced concrete pipe. Used for sewers larger than 42inch, with exceptions. • B/C - Concrete brick pipe. • FRP - Centrifugally cast fiberglass reinforced plastic mortar pipe.DN_INV: This is the downstream invert elevation value.PIPE_WIDTH: This value is the pipe dimension for shapes other than round.C_SLOPE: This is the calculated slope.ENABLED: Internal feature number.DN_STRUCT: This attribute identifies a number at one of two end points of the line segment that represents a sewer pipe. A sewer pipe line has a value for the UP_STRUCT and DN_STRUCT fields. This point is the downstream structure that may be a maintenance hole, pump station, junction, etc. Each of these structures is assigned an identifying number that corresponds to a Sewer Wye data record. The 8 digit value is based on an S-Map index map using a standardized numbering scheme. The S-Map is divided into 16 grids, each numbered sequentially from west to east and north to south. The first three digits represent the S-Map number, the following two digits represent the grid number, and the last three digits represent the structure number within the grid. This field also relates to the (name of table or layer) node attribute table.PIPE_SIZE: This value is the inside pipe diameter in inches.MON_INST: This is the month of the pipe installation.PIPE_ID: The value is a combination of the values in the UP_STRUCT, DN_STRUCT, and PIPE_LABEL fields. This is the 17 digit identifier of each pipe segment and is a key attribute of the pipe line data layer. This field named PIPE_ID relates to the field in the Annotation Pipe feature class and to the field in the Wye line feature class data layers.REMARKS: This attribute contains additional comments regarding the pipe line segment.DN_STA_PLS: This is the tens value of the downstream stationing.EASEMENT: This value denotes whether or not the pipe is within an easement.DN_STA_100: This is the hundreds value of the downstream stationing.PIPE_SHAPE: The value signifies the shape of the pipe cross section. Values: • SE - Semi-Elliptical. • O1 - Semi-Elliptical. • UNK - Unknown. • BM - Burns and McDonald. • S2 - Semi-Elliptical. • EL - Elliptical. • O2 - Semi-Elliptical. • CIR - Circular. • Box - Box (Rectangular).PIPE_STATUS: This attribute contains the pipe status. Values: • U - Unknown. • P - Proposed. • T - Abandoned. • F - As Built. • S - Siphon. • L - Lateral. • A - As Bid. • N - Non-City. • R - Airline.ENG_DIST: LA City Engineering District. The boundaries are displayed in the Engineering Districts index map. Values: • O - Out LA. • V - Valley Engineering District. • W - West LA Engineering District. • H - Harbor Engineering District. • C - Central Engineering District.C_PIPE_LEN: This is the calculated pipe length.OWNER: This value is the agency or municipality that constructed the pipe. Values: • PVT - Private. • CTY - City of LA. • FED - Federal Facilities. • COSA - LA County Sanitation. • OUTLA - Adjoining cities.CRTN_DT: Creation date of the line feature.TRTMNT_LOC: This value is the treatment plant used to treat the pipe wastewater.PCT_ENTRY2: This is the flag determining if the second slope value, in SLOPE2 field, was entered in percent as opposed to a decimal. Values: • Y - The value is expressed as a percent. • N - The value is not expressed as a percent.UP_STA_100: This is the hundreds value of the upstream stationing.DN_MH: The value is the ID of the structure. This point is the structure that may be a maintenance hole, pump station, junction, etc. The field name DN_MH signifies the structure is the point at the downstream end of the pipe line segment. The field DN_MH is a key attribute to relate the pipe lines feature class to the STRUCTURE_ID field in the physical structures feature class.SAN_PIPE_IDUSER_ID: The name of the user carrying out the edits of the pipe data.WYE_MAT: This is the pipe material as shown on the wye card.WYE_DIAM: This is the pipe diameter as shown on the wye card.SLOPE2: This is the second slope value used for pipe segments with a vertical curve.EST_YR_LEV: This value is the year installed level.EST_MATL: This is the flag determining if the pipe material was estimated.LINER_DATE: This value is the year that the pipe was re-lined.LAST_UPDATE: Date of last update of the line feature.SHAPE: Feature geometry.EST_YEAR: This is the flag indicating if the year if installation was estimated.EST_UPINV: This is the flag determining if the pipe upstream elevation value was estimated.WYE_UPDATE: This value indicates whether the wye card was updated.PCT_ENTRY: This is the flag determining if the slope was entered in percent as opposed to a decimal. Values: • N - The value is not expressed as a percent. • Y - The value is expressed as a percent.PROF: This is the profile drawing number.PLAN1: This is the improvement plan drawing number.PLAN2: This is the supplementary improvement plan drawing number.EST_DNINV: This is the flag determining if the pipe downstream elevation value was estimated.UP_STRUCT: This attribute identifies a number at one of two end points of the line segment that represents a sewer pipe. A sewer pipe line has a value for the UP_STRUCT and DN_STRUCT fields. This point is the upstream structure that may be a maintenance hole, pump station, junction, etc. Each of these structures is assigned an identifying number that corresponds to a Sewer Wye data record. The 8 digit value is based on an S-Map index map

Geospatial data about City of San Diego, California Storm Drain. Export to CAD, GIS, PDF, CSV and access via API.

Polygon vector map data covering boundaries for the City of Los Angeles containing 4 features.

Boundary GIS (Geographic Information System) data is spatial information that delineates the geographic boundaries of specific geographic features. This data typically includes polygons representing the outlines of these features, along with attributes such as names, codes, and other relevant information.

Boundary GIS data is used for a variety of purposes across multiple industries, including urban planning, environmental management, public health, transportation, and business analysis.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

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Coquitlam Street Map (PDF)

While Long Beach is less likely than other areas of the State to experience earthquakes, all of California is at higher risk compared to the rest of the country. In an attempt to mitigate potential damages, California passed the Alquist-Priolo Earthquake Zoning Act on December 22, 1972.This pdf map visualizes inferred and known fault lines as well as Alquist-Priolo Special Studies Zones within the City of Long Beach.

The depth layer that this spatial data represents is the < 0.35 m Surface Ponding Depth (Green) layer.

This map representation was created as a result of a 2013 to 2016 study done for the Edmonton area to determine the vulnerable areas of Edmonton in regards to a 1 in 100 year rainfall event.

Due to the constant changing of subsurface infrastructure (adding, upgrading, etc.) combined with the constant changing definition of a 1 in 100 year rainfall event (based on historic rainfall amounts), this raster file reflects the results of a study done in 2016 and should neither suggest previous year’s vulnerabilities nor future year’s vulnerabilities.

There are four different colours to show the depth of water that might pool on the ground during a large rainstorm.

Those colours are:

Green (representing a ponding depth from 0.00 - 0.35 m)

Yellow (representing a ponding depth from 0.35 - 0.50 m)

Orange (representing a ponding depth from 0.50 to 0.75 m)

Red (representing a ponding depth greater than 0.75 m)

For a more information regarding the Flood Risk Maps and the City’s proactive strategy see :

https://www.edmonton.ca/citygovernment/documents/RoadsTraffic/City-wideFloodMitigationStudy.pdf

This dataset is based on 2014 information and will not be updated further. The model is based on a theoretical, worst-case scenario storm that has never occurred in the Edmonton area.

Model Accuracy:

For Areas west and central Digital Elevation Model was used from 2004. For the rest of the areas Bare Earth LiDar data was used. The surface data used was set to a horizontal resolution of 2.5 meters with a grid cell of 5m by 5m. This puts the vertical resolution at an accuracy of 0.1 meters.

This is a spline fit interpolations model. This is a 1D-1D model with 2D interpolations.The accuracy of the information provided in these data sets is plus or minus 10 cm vertically, and 10 cm horizontally.

The 100 year flood was based on the 2015 Edmonton 4 year Chicago storm event over 20 plus neighbourhoods. The data is a collection of the worst case scenario of model runs.

This is a common practice for Edmonton drainage models. These models are high level concept and projects determined from this data set will undergo finer, more detailed modeling.

Disclaimer: No Warranty with Flood Risk Maps.

Your use of the flood risk maps is solely at your own risk, and you are fully responsible for any consequences arising from your use of the flood risk maps. The flood risk maps are provided on an “as is” and “as available” basis, and you agree to use them solely at your own risk. There are no warranties, expressed or implied in respect to the flood risk maps or your use of them, including without limitation, implied warranties and conditions of merchantability and fitness for any particular purpose.

Please note that the flood risk maps have been modified from their original source, and that all data visualization on maps are approximate and include only records that can be mapped.

Geo Coordinate System: WGS84

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

This spatial data set contains the zoning information for the current zoning by-law 2017-117. The polygons are derived from property parcels except for properties that contain more than one zoning designation. The map must be used in conjunction with the zoning bylaw text: https://www.welland.ca/Planning/zoningreview/FinalNewComprehensiveZoningBy-law.pdf
For any questions regarding the Zoning By-law please contact Grant Munday, Planning Supervisor: Tel: (905) 735-1700 ext. 2240; Email: zoningreview@welland.ca