This includes the City Boundary, bridges, roads, railways, street index grid, watercourses and waterbodies. Streets are listed alphabetically and are numbered by area.
Contained within the 2nd Edition (1915) of the Atlas of Canada is a plate comprised of three maps that shows the cities of Ottawa, Hamilton, and London. Each map indicates the location of city wards, electric railways, select buildings and churches.
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 the city boundary of the City of London, Ontario.
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.
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
License information was derived automatically
This layer is a georeferenced raster image of the historic paper map entitled: A new mapp of the city of London c. : with the many additionall buildings and new streets anno 1723 in a playne. It was printed and sold by Thomas Taylor at the Golden Lyon in Fleet Street, 1723. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map was georeferenced as part of the Authorial London project, an application which allows users to visualize the spatial overlap of varios authors who lived in and traveled through London over the last 600 years.
In this layer, the geographical extent of the City of London is represented by a line.
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 a topographic mapping index of the City of London, Ontario.
A cartographic enhancement representing map tiles across the municipal boundaries of the City of London.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Contained within the 1st Edition (1906) of the Atlas of Canada is a plate that show five maps displaying the cities of Vancouver, Ottawa, Hamilton, London, and Halifax. At this time these cities had a population over 25,000. The map indicates the location of city wards, electric railways, and churches symbolized as crosses.
This is a city map of London, England, shown at a 1:63,360 scale. This city map was created by the Director General of the Ordnance Survey.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Contained within the 2nd Edition (1915) of the Atlas of Canada is a plate comprised of three maps that shows the cities of Ottawa, Hamilton, and London. Each map indicates the location of city wards, electric railways, select buildings and churches.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
For an urban heat island map during a warm summer see this dataset. This map shows the results of an ‘UrbClim’ simulation for the mean temperature at midnight during the summer of 2011 (May to September) at a resolution of 250m. This summer has been selected as a typical summer for a West-European city. On average, the night-time temperature is approximately 4°C higher in the city centre. During some hot nights, even larger effects are observed. UrbClim is an urban climate model designed to model and study the urban heat island effect (UHI) at a spatial resolution of a few hundred meters. This project was carried out by VITO as part of an EU-funded RAMSES programme on the urban impacts of climate change. For more information about the model, please see the Technical Information and Interpretation report. Please direct any enquiries to Hans Hooyberghs (hans.hooyberghs@vito.be) or Koen De Ridder (koen.deridder@vito.be).
City-Networks, a transductive learning dataset for testing long-range dependencies in Graph Neural Networks (GNNs). In particular, the dataset contains four large-scale city maps: Paris, Shanghai, L.A., and London, where nodes represent intersections and edges represent road segments.
These are military topographic maps (scale 1:25,000) from the years 1944, series GSGS 4427 and GSGS 4414 (GSGS = Geographical Section General Staff). During the Second World War, maps of strategically located areas in the occupied territories were produced on the initiative of the American Army Map Service (AMS) in Washington DC and the British War Office in London. The work of the military services includes maps of cities and map series of France, Belgium and the Netherlands, among others. This includes the map series "Holland, 1:25.000" which was known to the Americans under the code AMS M831 and to the British under the code GSGS 4427. The 215 sheets in series GSGS 4427 contain most of the Netherlands, and were published in 1943. , 1944 or 1945 printed. From series GSGS 4414 there are 263 maps of the eastern part of the Netherlands and a large part of Germany. Older sheets available in Washington DC and London were used to make the maps. Sometimes it was even necessary to refer to information printed by the Dutch Topographical Service from the end of the nineteenth century. If the Allies had more recent magazines, they were of course used. In most cases, information was taken from map sheets from the 1920s and 1930s. In addition, information was also taken from, for example, Michelin maps and map sheets of the Koninklijke Nederlandsche Automobiel Club (KNAC).
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
This dataset is a general representation of parcel mapping used by the City of London. The mapping is derived from assessment and ownership data but is not sanctioned by either MPAC or Teranet. The geospatial accuracy is not to be relied upon and must not be used for building permit applcaitions, engineering designs, detailed planning, development or property use. Use at own risk.
FOCUSONLONDON2011: HOUSING:AGROWINGCITY
With the highest average incomes in the country but the least space to grow, demand for housing in London has long outstripped supply, resulting in higher housing costs and rising levels of overcrowding. The pressures of housing demand in London have grown in recent years, in part due to fewer people leaving London to buy homes in other regions. But while new supply during the recession held up better in London than in other regions, it needs to increase significantly in order to meet housing needs and reduce housing costs to more affordable levels.
This edition of Focus on London authored by James Gleeson in the Housing Unit looks at housing trends in London, from the demand/supply imbalance to the consequences for affordability and housing need.
REPORT:
Read the report in PDF format.
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PRESENTATION:
How much pressure is London’s popularity putting on housing provision in the capital? This interactive presentation looks at the effect on housing pressure of demographic changes, and recent new housing supply, shown by trends in overcrowding and house prices. Click on the start button at the bottom of the slide to access.
View Focus on London - Housing: A Growing City on Prezi
HISTOGRAM:
This histogram shows a selection of borough data and helps show areas that are similar to one another by each indicator.
MOTION CHART:
This motion chart shows how the relationship, between key housing related indicators at borough level, changes over time.
MAP:
These interactive borough maps help to geographically present a range of housing data within London, as well as presenting trend data where available.
DATA:
All the data contained within the Housing: A Growing City report as well as the data used to create the charts and maps can be accessed in this spreadsheet.
FACTS:
Some interesting facts from the data…
● Five boroughs with the highest proportion of households that have lived at their address for less than 12 months in 2009/10:
-31. Harrow – 6 per cent
-32. Havering – 5 per cent
● Five boroughs with the highest percentage point increase between 2004 and 2009 of households in the ‘private rented’ sector:
-32. Islington – 1 per cent
-33. Bexley – 1 per cent
● Five boroughs with the highest percentage difference in median house prices between 2007 Q4 and 2010 Q4:
-31. Newham – down 9 per cent
-32. Barking & D’ham – down 9 per cent
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
GIS-datasets for the Street networks of Stockholm, Gothenburg and Eskilstuna produced as part of the Spatial Morphology Lab (SMoL).
The goal of the SMoL project is to develop a strong theory and methodology for urban planning & design research with an analytical approach. Three frequently recurring variables of spatial urban form are studied that together quite well capture and describe the central characteristics and qualities of the built environment: density, diversity and proximity.
The first measure describes how intensive a place can be used depending on how much built up area is found there. The second measure captures how differentiated the use of a place can be depending on the division in smaller units such as plots. The third measure describes how accessible a place is depending on how it relates with other places. Empirical studies have shown strong links between these metrics and people's use of cities such as pedestrian movement patterns.
To support this goal, a central objective of the project is the establishment of an international platform of GIS data models for comparative studies in spatial urban form comprising three European capitals: London in the UK, Amsterdam in the Netherlands and Stockholm in Sweden, as well as two additional Swedish cities of smaller size than Stockholm: Gothenburg and Eskilstuna.
The result of the project is a GIS database for the five cities covering the three basic layers of urban form: street network (motorised and non-motorised), buildings and plots systems.
The data is shared via SND to create a research infrastructure that is open to new study initiatives. The datasets for Amsterdam will also be uploaded to SND. The datasets of London cannot be uploaded because of licensing restrictions.
The street network GIS-maps include motorised and non-motorised networks. The non-motorized networks include all streets and paths that are accessible for people walking or cycling, including those that are shared with vehicles. All streets where walking or cycling is forbidden, such as motorways, highways, or high-speed tunnels, are not included in the network.
The non-motorised network layers for Stockholm and Eskilstuna are based on the Swedish national road database, NVDB (Nationell Vägdatabas), downloaded from Trafikverket (https://lastkajen.trafikverket.se, date of download 15-5-2016, last update 8-11-2015) . For Gothenburg, it is based on Open Street Maps (openstreetmap.org, http://download.geofabrik.de, date of download 29-4-2016), because the NVDB did not provide enough detail for the non-motorized network, as in the other cities. The original road-centre-line maps of all cities were edited based on the same basic representational principles and were converted into line-segment maps, using the following software: FME, Mapinfo professional and PST (Place Syntax Tool). The coordinate system is SWEREF99TM.
In the final line-segment maps (GIS-layers) all streets or paths are represented with one line irrespectively of the number of lanes or type, meaning that parallel lines representing a street and a pedestrian or a cycle path running on the side, are reduced to one line. The reason is that these parallel lines are nor physically or perceptually separated, and thus are accessible and recognized from pedestrians as one “line of movement” in the street network. If there are obstacles or great distance between parallel streets and paths, then the multiple lines remain. The aim is to make a skeletal network that better represents the total space, which is accessible for pedestrians to move, irrespectively of the typical separations or distinctions of streets and paths. This representational choice follows the Space Syntax methodology in representing the public space and the street network.
We followed the same editing and generalizing procedure for all maps aiming to remove errors and to increase comparability between networks. This process included removing duplicate and isolated lines, snapping and generalizing. The snapping threshold used was 2m (end points closer than 2m were snapped together). The generalizing threshold used was 1m (successive line segments with angular deviation less than 1m were merged into one). In the final editing step, all road polylines were segmented to their constituting line-segments. The aim was to create appropriate line-segment maps to be analysed using Angular Segment Analysis, a network centrality analysis method introduced in Space Syntax.
All network layers are complemented with an “Unlink points” layer; a GIS point layer with the locations of all non-level intersections, such as pedestrian bridges and tunnels. The Unlink point layer is necessary to conduct network analysis that takes into account the non-planarity of the street network, using such software as PST (Place Syntax Tool).
For more detailed documentation on the creation of the non-motorised network of Gothenburg, please download the specific documentation file.
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.
Colour raster copies of maps by Czech and European cartographers, cartographic shops and publishing houses up to year 1850. Maps and plans and usually printed, exceptionally manuscripts. The collection is divided into three parts: Czech maps, foreign territory, city plans.
This includes the City Boundary, bridges, roads, railways, street index grid, watercourses and waterbodies. Streets are listed alphabetically and are numbered by area.