This includes the City Boundary, bridges, roads, railways, street index grid, watercourses and waterbodies. Streets are listed alphabetically and are numbered by area.

CD-Rom contains:1) Assessed Parcel mapping2) City map - double line3) City map - single line4) Orthoimagery5) Topographic features and 3d data (spot heights and contours)

Available at the Map and Data Library. CD #199.

This map is part of the Map and Data Centre Collections, and is available for physical viewing under the call number C33 D03. Explore the item in our Library Catalogue: Collection PermalinkPublication Date: 1871 Publisher Location: London, Ont. Publisher: Publisher not identified. Scale: Scale not given Geographic Area: London (Ont.) Map Type: Drawing, facsimile Description: Plan of the city of London Ontario, A.D. 1871. Designed by H.A. Wilkens. Original map published 1871. Facsimile of map imprinted on parchment; Facsimile publication unknown. See "notes" for story. Physical Size: 63 x 33 cm Notes: Lists "Members of the Corporation of the City of London, Ont, A.D. MDCCCLXXI" (1871) “Assessed Value of Real & Personal Property, 5,457,383 Dolars.” Text included with the map tells the history of the map's discovery: “This map of the City of London Ont. A.D. 1871, was recovered from the Corner-Stone of a building erected by the late Charles Dunnit, on a site then in the Township of Westminster - now in the City of London Ont. - on the North side of Becher Street, near the West end of King Street Bridge.” "This building, although never actually completed, was apparently planned as a Hotel to be called 'Charing Cross'. In time however, the Property was purchased by the late James Seale, who demolished the unfinished hotel, and used it's masonry in the erection of near-by houses. "A metal 'Carton' protected the Plan of the City of London above referred to. The Plan was imprinted on Parchment, which also comprised the names of the Corporation of the City of London A.D. 1871, with the Assessed value of Real and Personal Property. "The recovered 'Carton', and it's Map are now in the possession of Mr J.A. Childs of 21 Becher Street London Ontario."

This map is part of the Archives and Special Collections, and is available for physical viewing under the call number CX89. Explore the item in our Library Catalogue: Collection Permalink Publication Date: 1800 Publisher Location: London, Ont. Publisher: City of London, Ont. Scale: Plan: 200 feet = 1 inch; Profile: Horizontal 400 feet = 1 inch; vertical: 20 feet = 1 inch Geographic Area: London (Ont.) Map Theme: Railroads Map Type: Blueline drawing Description: Map of the Ontario and Quebec Ry. Detroit Extension Plan and Profile of Right-of-way Through the City of London, West of Richmond Street. Physical Size: 53 x 60 cm Notes: Publication date unknown, sometime after 1883. Includes notes about land transactions and deed ownership. Drawings show profile of road bed and map of planned railroad locations. “Land shaded with diagonal red lines stands in name of Joint Trustees.” Photo reproduction of blueline map. 53 X 60 CM.

Fire Hydrants which are owned and maintained by the City of London and are located within the City's public road allowance.

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of roads in the City of London, Ontario.

Note:This dataset was not published in 2016 and 2017. Publication resumed in 2018, with additional fields in the attribute table.

This feature class contains unofficial speed limit data for all of the roadway segments within the City of London. Speed Limit data is provided for information purposes only. The final source of truth is the Traffic and Parking By-law and not this dataset. If the road segment doesn't have a speed limit, it is 50km/h.

Shakespeare and his contemporaries traversed London on foot. Early modern plays, pamphlets, histories, and poems assume intimate knowledge of the streets, alleys, and topography of the city. At Map of Early Modern London (MoEML), our ongoing project is to map the spatial imaginary of Shakespeare’s city; we ask how London’s spaces and places were named, traversed, used, repurposed, and contested by various practitioners (Michel de Certeau’s term), writers, and civic officials. MoEML’s maps allow us to plot people, historical documents, literary works, and recent critical research onto topography and the built environment. At the same time, we experiment with new digital modes of answering GeoHumanities questions. An early contributor to the spatial turn and literary geographic information systems (GIS), MoEML provides a virtual space for exploring the meaning and representation of cultural space in the London of Shakespeare and his contemporaries. We also experiment with new ways of working collaboratively as teams and across institutions and disciplines.

This map is part of the Archives and Special Collections, and is available for physical viewing under the call number CX962. Explore the item in our Library Catalogue: Collection PermalinkPublication Date: 1846 Publisher Location: Toronto, Ont. Publisher: Scobie & Balfour Toronto Lith. Scale: 8 inches to 1 mile Geographic Area: London (Ont.) Map Type: Drawing Description: Plan of the Town of London, CW, published by Thomas Craig, London, Scobie & Balfour Toronto Lithography, 1846 Physical Size: 64 x 49 cm Notes: Map oriented with north at upper right. Map includes street names and some points of interest (e.g. churches, market, school reserve).

Mapping data is divided into 5 directories: 1. ASSESSP 2006: assessed Parcel/Property mapping Arcview 2. CityMap 2006: double line street map, autocad 3. Ortho 2006: Orthoimagery SID world file 4. Single line 2006: street map Arcview SHP format 5. Topo 2006: 1:2000 topographic mapping in themed categories. Arcview SHP format

Available on CD Rom through the Map and Data Library. CD #252.

The top 10 POI for each emotion for the cities of San Francisco and London.

This layer captures bike lanes as line features. Officially recognized bicycle routes that which are located within the City’s public road allowance. This layer can be used in combination with additional features which are maintained by other City divisions, to represent the larger network of multi-use routes and pathways which are published on the City’s Bike & Walk Map.

Examples of tweets classified for each emotion in London and San Francisco.

1. OverviewRoad intersections are crucial nodes in urban networks, where transportation lanes converge and socioeconomic activity is concentrated. While methods to identify road intersections using raster maps, satellite images, and trace data have been explored, challenges in accuracy and consistency remain.This paper proposes a method for identifying intersections based on OpenStreetMap data, which records networks at the lane level. Unlike geometric line intersections in OpenStreetMap, the identified intersections “summarize” parallel lanes and incorporate branch information, such as counts and orientations. The proposed method uses a vector-raster fusion approach to initially locate intersections, followed by hierarchical geometric configuration to improve accuracy and extract branch data.Experimental results show that the method effectively handles complex road networks in various cities, accurately identifying intersections and their branches. Experiments conducted on OpenStreetMap data from 7 cities yielded over 98% precision and 97% recall, outperforming the popular OSMnx tool. Additionally, lane synthesis at intersections achieved 99.43% precision and 98.34% recall. Urban characteristics can be quantitatively analyzed based on the identified road intersections. For instance, the proportion of four-way road intersections in New York is 52.6%, whereas in London, it is 9.6%, which may be attributed to the differing urban histories of these cities.2. Instructions for dataThis dataset contains road intersection data of seven cities (Berlin, Beijing, London, Nanjing, New York City, Rome, Shanghai) identified by our proposed method.The data of each city are stored in the folder named by its abbreviation.In each folder, there will be five *.shp files:(1) Roadnetwork (roads.shp)This layer stores the OSM road network with tag attributes.(2) Intersection points (cross-res.shp)This layer stores the location of the intersection point and the general characteristics of the road layout, including the number of intersecting roads and layout type. This provides the necessary location information for mapping and spatial analyses.(3) Related road lines (fullLine-res.shp/fail-fullLine.shp)The original road lines related to intersections extracted from the road networks were stored in this layer, preserving the inherent attributes of the original dataset. In addition, matching information, indicating whether the lines represent the same road, was stored as an attribute.(4) Synthesized road lines (simpleLine-res.shp)The geometries of this layer store synthesized road lines representing road orientations, whereas the attributes store acquired characteristics, including roadway configurations and match indices, which allow the synthesized road lines to be connected to the original roads from which they were derived. This connection is achieved through “pt_id” linked with cross-res.shp and “match_id” linked with fullLine-res.shp.3. Instructions for codesThis code repository is organized into eight folders and two files:(1) Folder: candidateIdentifyThis folder contains code related to the identification of candidate junctions or intersections from the input data. Each script plays a specific role in the overall process:bufferThin.py: Implements a thinning algorithm to generate a skeleton of buffered road geometry.candidateIdentify.py: The core script for identifying candidate points for road intersections in a spatial dataset.fastJunction.py: Provides an optimized method for detecting junctions quickly in large datasets by leveraging a fast hit-or-miss operation.junctionGeo.py: Handles the geometric processing of junction points, focusing on transforming raster cells into geographical positions.(2) Folder: compareEvaluationclipByregion.py: Clips spatial data to a specific region, which is useful for limiting analysis to a predefined geographic area. This is typically used to obtain intersections identified within the randomly selected regions.(3) Folder: geometricConfigurationTemplateMatchThis folder includes tools for matching geometric templates of road intersections:templateMatcher.py: The main module that matches geometric configurations of road intersections to the determined templates.utils_g.py: Provides utility functions that assist in geometric operations and template matching processes.(4) Folder: maxRadiusBufferThis folder focuses on the code of a greedy algorithm that produces the largest nonoverlapping buffers for a given collection of points.:maxRadBuffer.py: Core script for this algorithm.(5) Folder: intersectionDistanceAnalysisThis folder contains scripts for analyzing distances between intersection points for parameter determination:distanceAnalysis.py: Calculates the distances between identified intersections and analyze their distribution.(6) Folder: proportionDrawerThis folder contains scripts using R to produce pie charts in Figure 14.(7) Folder: refineCandidateThis folder contains a script that refines the previously identified intersection candidates.refineCandidate.py: This core script refines the set of candidate intersections by applying further geometric or statistical methods.(8) Folder: resultAnalysisThis folder is used for analyzing the identified results for insights of urban characteristics:angleAnalysis.py: Compute and analyze angles between road branches at intersections.4. Instructions on how to reproduce each reported findingsThe file 'instructions_on_how_to_reproduce_each_reported_findings.md' details the steps to reproduce the figures and the tables shown in the paper.

This map is part of the Map and Data Centre Collections, and is available for physical viewing under the call number C33 D03. Explore the item in our Library Catalogue: Collection PermalinkPublication Date: 8-1853 Publisher Location: Toronto Publisher: Hugh Scobie, Lith. Scale: 1 [unit] = 1 chain Geographic Area: London (Ont.) Map Theme: Real property--Ontario--London Description: Extent from Port Sarnia Road at top of page to River Thames at bottom, and St. James Street at left of page to Oxford Street at right. “Survey'd by Messrs. Leather & Robinson, August 1835” “Hugh Scobie, Lith., Toronto” "No. 1, 2, 3, 4 For Sale"

The map title is Oxford County. Tactile map scale. 2.7 centimetres = 10 kilometres North arrow pointing to the north. Oxford County general area. Stratford, Waterloo, Cambridge, London, Woodstock, Brantford, Ingersol, Tilsonburg. Highway 401, highway 403. Secondary roads. Railroad. Airport in London. Train Station, bus terminals. Bus terminals. Oxford County 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.

Digital Mapping CD DWG/Shape files. Double & single line street map of city of London, [parcel/property map shapeformat, orthoimagery city of London 2005-20101:2000 topographic mapping.

Available on CD Rom from the Map and Data Library. Year 2005 CD #226. Year 2006 CD #252. Year 2007 CD #313. Year 2008 CD #326. Year 2009 CD #360. Year 2010 CD #404. Year 2011 CD #419. Year 2012 CD #436.