This is SCAG’s 2019 city boundary data (v.1.0), updated as of July 6, 2021, including the boundaries for each of the 191 cities and 6 county unincorporated areas in the SCAG region. The original city boundary data was obtained from county LAFCOs to reflect the most current updates and annexations to the city boundaries. This data will be further reviewed and updated as SCAG continues to receive feedbacks from LAFCOs, subregions and local jurisdictions.Data-field description:COUNTY: County name COUNTY_ID: County FIPS CodeCITY: City NameCITY_ID: City FIPS CodeACRES: Area in acresSQMI: Area in square milesYEAR: Dataset year

Map of the City of Los Angeles 1903.

This is SCAG’s 2019 city boundary data (v.1.0), updated as of July 6, 2021, including the boundaries for each of the 191 cities and 6 county unincorporated areas in the SCAG region. The original city boundary data was obtained from county LAFCOs to reflect the most current updates and annexations to the city boundaries. This data will be further reviewed and updated as SCAG continues to receive feedbacks from LAFCOs, subregions and local jurisdictions.Data-field description:COUNTY: County name COUNTY_ID: County FIPS CodeCITY: City NameCITY_ID: City FIPS CodeACRES: Area in acresSQMI: Area in square milesYEAR: Dataset year

Map of the City of Los Angeles 1897 accompanying Maxwell's Los Angeles City Directory.

This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

1857 Map of the City of Los Angeles showing the confirmed Limits

This map includes change areas for city and county boundaries filed in accordance with Government Code 54900. The initial dataset was first published on October 20, 2021, and was based on the State Board of Equalization's tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax jurisdictions. The boundaries are continuously being revised when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions and should not be used to determine precise city or county boundary line locations.The data is updated within 10 business days of the CDTFA receiving a copy of the Board of Equalization's acknowledgement letter.BOE_CityAnx Data Dictionary: COFILE = county number - assessment roll year - file number (see note*); CHANGE = affected city, unincorporated county, or boundary correction; EFFECTIVE = date the change was effective by resolution or ordinance (see note*); RECEIVED = date the change was received at the BOE; ACKNOWLEDGED = date the BOE accepted the filing for inclusion into the tax rate area system; NOTES = additional clarifying information about the action.*Note: A COFILE number ending in "000" is a boundary correction and the effective date used is the date the map was corrected.BOE_CityCounty Data Dictionary: COUNTY = county name; CITY = city name or unincorporated territory; COPRI = county number followed by the 3-digit city primary number used in the Board of Equalization's 6-digit tax rate area numbering system (for the purpose of this map, unincorporated areas are assigned 000 to indicate that the area is not within a city).

Thematic map of Massachusetts cities and towns 1999: education, poverty, and income. Thematic map of Massachusetts cities and towns by percent of the 25 and older population with a high school graduate degree or higher. Thematic map of the percent of families below the poverty level in 1999. Thematic map of 1999 median household income

The data set of this article is related to the paper "Dynamical structure of social map in ancient China" (2022, Physica A, https://doi.org/10.1016/j.physa.2022.128209) . This article demonstrates the data of social relations between cities in ancient China, ranging from 618 AD to 1644 AD. The raw data of social associations between elites used to build social maps are extracted from the China Biographical Database. The raw data contain 14610 elites and 29673 social associations, which cover 366 cities in China. The dataset of this article is relevant both for social and natural scientists interested in the social and economic history of ancient China. The data can be used for further insights/analyses on the evolutionary pattern of geo-social architecture, and the geo-history from the viewpoint of social network.

The dataset contains $3$ files: "Networks.xlsx", "Coordinates.xlsx", and "SocialMap.html". The "Networks.xlsx" has 3 columns, representing the source node (city), target node (city), and weight of a link between two nodes, respectively. The "Networks.xlsx" contains $9$ sheets, which are the data for different dynasties named by Early Tang, Late Tang, Early Northern-Song, Late Northern-Song, Early Southern-Song, Late Southern-Song, Yuan, Early Ming, and Late Ming. Noticeably, the "Networks.xlsx" can be visualized by the network software of Gephi directly. The "Coordinates.xlsx" has 4 columns storing longitude and latitude for all cities that appeared in 9 networks. The first and second columns are English names and Chinese names of cities; the third and fourth columns are longitudes and latitudes of cities. The "SocialMap.html" provides a visualization platform, in which users could select and illustrate the evolution of social maps intuitively.

The evolution of infrastructure networks such as roads and streets are of utmost importance to understand the evolution of urban systems. However, datasets describing these spatial objects are rare and sparse. The database presented here represents the road network at the french national level described in the historical map of Cassini in the 18th century. The digitalization of this historical map is based on a collaborative platform methodology that we describe in detail. These data can be used for a variety of interdisciplinary studies, covering multiple spatial resolutions and ranging from history, geography, urban economics to the science of network.

This data set of polygon features represents Riverside County's Incorporated City Boundaries. Topology has been run and all gaps and overlaps have been fixed. The data has been adjusted to match Riverside County Parcel Boundaries. The city name field is used to represent the citys' name. Every polygon that represents an incorporated city must have a city name. Data was spatially adjusted in 2020. Maintained by Adam Grim, 12/2020

Complete dataset of all 29,850 USA cities Roads network as a graph in the shp format. The extracts follow 2016 official USA cities boundaries. Graph are identified by their [city_code].shp. Cities code are provided by the Tiger Census Dataset. Graph have been created by extracting all openstreetmap.org (osm) maps for each USA Cityextracting the graph from osm extract using the policosm python github librarysimplifying the graph by removing all degree two nodes to retain only a workable transportation network. Original road length is retained as an attribute Nodes includes latitude and longitude attributes from WGS84 projection Edges includes length in meter (precision < 1m), tag:highway value from osm See policosm on github for more informations on extractions algorithm

The City of Fort Collins GIS Online Mapping tool (FCMaps) provide current, timely and local geographic information in an easy to use viewer. FCMaps is mobile friendly and will work well on tablets and smartphones as well as a desktop browser.

Here you will find locations and names of neighborhoods in Fort Collins.

San Bernardino County City Limits current as of December 17, 2024.City limit boundaries are maintained through maps of annexations and detachments by the County of San Bernardino Surveyor's Office. City Limits GIS data stores non-contiguous city polygons as individual polygons. For questions about this dataset, please email opendata@isd.sbcounty.gov.This feature service will be retired soon and will no longer be updated with the latest changes. To ensure you always get the latest updates, please instead point your maps and apps to use the Cities and Towns (Incorporated Areas) feature layer.

Locations and border maps for cities of the Holy Roman Empire as listed in the Deutsches Städtebuch (Keyser et al., eds., 1939-2003).

About the App This app hosts data from Heat Resilience Solutions for Boston (the Heat Plan). It features maps that include daytime and nighttime air temperature, urban heat island index, and extreme heat duration. About the DataA citywide urban canopy model was developed to produce modeled air temperature maps for the City of Boston Heat Resilience Study in 2021. Sasaki Associates served as the lead consultant working with the City of Boston. The technical methodology for the urban canopy model was produced by Klimaat Consulting & Innovation Inc. A weeklong analysis period during July 18th-24th, 2019 was selected to produce heat characteristics maps for the study (one of the hottest weeks in Boston that year). The data array represents the modelled, average hourly urban meteorological condition at 100 meter spatial resolution. This dataset was processed into urban heat indices and delivered as georeferenced image layers. The data layers have been resampled to 10 meter resolution for visualization purposes. For the detailed methodology of the urban canopy model, visit the Heat Resilience Study project website.

This layer is a georeferenced image of a map titled "Map Of The Outside Lands Of The City And County Of San Francisco Showing Reservations Selected for Public Purposes, under the Provisions of Order No. 800." Date estimated. Chas. H. Stanyan, A.J. Shrader, Beverly Cole, Chas. Clayton and Monroe Ashbury were the members of the Committee on Outside Lands of the Board of Supervisors which published this map. Many of the streets in the Haight Ashbury district were named after the members of the Committee on Outside Lands - these streets appear on this map. With color, perhaps added later. Includes key structures. Property of the San Francisco Public Library. This map is part of the Imagined San Francisco Project. .

Urban social cohesion contracts replaced city contracts in 2007 as part of the developed territory project for the benefit of neighbourhoods in difficulty. The CUCS is a contract between the State and local authorities that commits each of the partners to implement concerted actions to improve the daily lives of residents in neighbourhoods experiencing difficulties (unemployment, violence, housing, etc.). It is prepared on the joint initiative of the mayor or president of the EPCI, and the prefect of department. The general framework and guidelines were defined by the Interministerial Committee for the City (CIV) on 9 March 2006. The contract is signed for a period of three years, renewable once, by the prefect of the department and by the mayor and/or president of the EPCI, in consultation with the prefect of the region. Regional and general councils shall, at their request, be associated with contractualisation. Depending on local issues, privileged partners are asked to: Caisse des dépôts et consignations, funds for family allowances, social lenders, rectorates... The data only contain urban social cohesion contracts that have been signed. The old CUCS (i.e. those that are finished) are to be archived.

PLEASE NOTE that as of June 30, 2022, we will no longer be collecting data from Safe City YEG and the crowdsourcing app will no longer be available. Thank you for your help in collecting data since July 2020.

For more information, please see:

• Edmonton: Safe City | Scoping Study Executive Summary [PDF]
• Edmonton: Safe City | Community Collaboration Committee Recommendations [PDF]
• UN Women: Creating safe and empowering public spaces with women and girls [external webpage]

Cities are for everyone and should be safe and welcoming for all. If you feel unsafe in a public space, we want to know.

The City of Edmonton is a member of the United Nations Women Safe Cities and Safe Public Spaces program, which works toward solutions to improve safety and decrease sexual violence for women and girls in public spaces.

The Edmonton: Safe City project has launched a web-based mapping tool called SafeCityYEG that allows Edmontonians to report where they feel unsafe or safe in their communities and why. By pinning locations on a map and identifying a safety concern or places where you feel comfortable, you are helping to influence change.

The primary goal of this project is to gain substantial user participation from Edmontonians and those visiting the city — with a strong focus on women and girls — for a duration of up to one year. Depending on the results and feedback, this project may continue after the one-year mark.

The SafeCityYEG tool will be tracked based on the participation levels and feedback from users. Once the analytics are reviewed, the interdepartmental committee of Edmonton: Safe City, community partners and experts will use the data collected to ignite action. This may include working to change practices, policies, programs and initiatives within the City of Edmonton and other community organizations.