Sovereign Intelligence | Building Footprint Data | Known Polygon Search product image in hero

Sovereign Intelligence | Building Footprint Data | Known Polygon Search

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registrationID
Name
latitude
longitude
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flags
ipAddress
ISP
datetimes
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Sign In To Preview Data
Volume
50
Billion signals observed daily
Data Quality
100%
Deterministic
Avail. Formats
.json and .csv
File
Coverage
199
Countries
History
36
months

Data Dictionary

[Sample] McDonal's_Test_1Day_export_29Jul2024_150152.csv
Attribute Type Example Mapping
registrationID
String 000d8f0f-9764-34b2-beeb-947c5eecb411
Name
String FALSE CONCEPT
latitude
Float 40.424683
longitude
Float -3.6764234
count
Integer 1
flags
String {"EUROPEAN UNION": 1, "HIGH ACCURACY": 1, "UNKNOWN (Bit 3...
ipAddress
String ** **
ISP
String No ISP
datetimes
String {"2024-07-22T12:36": 1}

Description

Aurora:GeoStudio® supports urban planning, infrastructure management, and spatial analysis with comprehensive building footprint data. Using Known Polygon Search (KPS) via OpenStreetMap® and automatic gridding, this data helps analyze buildings, traffic patterns, and resource allocation.
Aurora:GeoStudio® is a sophisticated geospatial analysis platform that offers robust support for building footprint data, significantly enhancing its utility for urban planning, infrastructure management, and spatial analysis. Building footprint data provides a digital representation of a building’s physical outline on a map, typically illustrating its outer boundaries. This data is crucial for identifying and analyzing individual buildings or clusters of buildings within a specific area. Core Features: Known Polygon Search (KPS) via OpenStreetMap®: Aurora:GeoStudio® leverages the extensive database of OpenStreetMap® to provide Known Polygon Search functionality. This feature allows users to quickly and accurately identify building footprints within a specified area of interest. By integrating with OpenStreetMap®, the platform ensures up-to-date and comprehensive coverage of building footprint data. 2. Automatic Gridding and Area Analytics: • The platform incorporates automatic gridding within areas of interest, enabling precise Area Usage and Area Visit analytics. This automated process divides the area into manageable grids, facilitating detailed analysis of building footprints and their utilization patterns. Users can easily visualize traffic patterns, identify high-usage areas, and assess the impact of various factors on building occupancy and utilization. 3. Building Footprint Data Visualization: • Aurora:GeoStudio® excels in visualizing building footprint data on customizable maps, including variants from Google, Esri, Open, and Stamen. This visualization capability helps users understand the spatial distribution and relationships of buildings within an area, aiding in effective decision-making. Applications: 1. Urban Planning: • Urban planners can use building footprint data to analyze the distribution of buildings, assess urban density, and plan for future developments. By understanding the spatial arrangement of buildings, planners can design more efficient and sustainable urban layouts. 2. Infrastructure Management: • Building footprint data is invaluable for managing infrastructure projects. It helps identify existing structures, plan new developments, and ensure optimal resource allocation. The detailed footprint data supports precise project planning and execution, minimizing disruptions and maximizing efficiency. 3. Spatial Analysis: • Researchers and analysts can leverage building footprint data to conduct various spatial analyses. This includes studying traffic patterns, understanding the impact of environmental factors on building usage, and evaluating the effectiveness of urban policies. The granular data provided by Aurora:GeoStudio® facilitates in-depth analysis and robust findings. 4. Area Usage and Visit Analytics: • By integrating automatic gridding and detailed analytics, Aurora:GeoStudio® enables users to track and analyze area usage and visit patterns. This is particularly useful for commercial enterprises, urban developers, and government agencies looking to optimize space utilization and enhance urban experiences. Aurora:GeoStudio® provides comprehensive support for building footprint data, making it an indispensable tool for urban planning, infrastructure management, and spatial analysis. The integration of Known Polygon Search via OpenStreetMap®, combined with automatic gridding and detailed area analytics, empowers users to gain valuable insights into building usage and spatial relationships. This capability enhances decision-making processes, supports efficient resource management, and facilitates the development of sustainable and well-planned urban environments. By leveraging the advanced features of Aurora:GeoStudio®, users can achieve a deeper understanding of urban dynamics and optimize their strategic initiatives.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (1)
Afghanistan
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

36 months of historical data

Volume

50 Billion signals observed daily
1 Billion devices

Pricing

Free sample available
License Starts at
One-off purchase
$1,000 / purchase
Monthly License
$500 / month
Yearly License
$6,000 / year
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Deterministic

Delivery

Methods
UI Export
REST API
Frequency
on-demand
Format
.json
.csv

Use Cases

Footfall Analytics Urban Planning
Area Usage and Visit Analytics
Spatial Analysis
Infrastructure Management

Categories

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Frequently asked questions

What is Sovereign Intelligence Building Footprint Data Known Polygon Search?

Aurora:GeoStudio® supports urban planning, infrastructure management, and spatial analysis with comprehensive building footprint data. Using Known Polygon Search (KPS) via OpenStreetMap® and automatic gridding, this data helps analyze buildings, traffic patterns, and resource allocation.

What is Sovereign Intelligence Building Footprint Data Known Polygon Search used for?

This product has 5 key use cases. Sovereign Intelligence recommends using the data for Footfall Analytics, Urban Planning, Area Usage and Visit Analytics, Spatial Analysis, and Infrastructure Management. Global businesses and organizations buy Store Location Data from Sovereign Intelligence to fuel their analytics and enrichment.

Who can use Sovereign Intelligence Building Footprint Data Known Polygon Search?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Store Location Data. Get in touch with Sovereign Intelligence to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Sovereign Intelligence Building Footprint Data Known Polygon Search go?

This product has 36 months of historical coverage. It can be delivered on a on-demand basis.

Which countries does Sovereign Intelligence Building Footprint Data Known Polygon Search cover?

This product includes data covering 199 countries like USA, Germany, United Kingdom, France, and Brazil. Sovereign Intelligence is headquartered in United States of America.

How much does Sovereign Intelligence Building Footprint Data Known Polygon Search cost?

Pricing for Sovereign Intelligence Building Footprint Data Known Polygon Search starts at USD500 per month. Connect with Sovereign Intelligence to get a quote and arrange custom pricing models based on your data requirements.

How can I get Sovereign Intelligence Building Footprint Data Known Polygon Search?

Businesses can buy Store Location Data from Sovereign Intelligence and get the data via UI Export and REST API. Depending on your data requirements and subscription budget, Sovereign Intelligence can deliver this product in .json and .csv format.

What is the data quality of Sovereign Intelligence Building Footprint Data Known Polygon Search?

Sovereign Intelligence has reported that this product has the following quality and accuracy assurances: 100% Deterministic. You can compare and assess the data quality of Sovereign Intelligence using Datarade’s data marketplace.

What are similar products to Sovereign Intelligence Building Footprint Data Known Polygon Search?

This product has 3 related products. These alternatives include Sovereign Intelligence Places Data Known Polygon Search, Footfall Data Foot traffic Data Mobile Location Data Visit Data for Finance, Retail & Real estate Global 600+ Customers GDPR compliant, and Start.io Visit Data 1st Party Mobile Data 2.4B+ MAU / 500K+ Active Mobile Apps / 30B+ SDKs. You can compare the best Store Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$500 / month
License Starts at
One-off purchase
$1,000 / purchase
Monthly License
$500 / month
Yearly License
$6,000 / year
Usage-based Not available

Sovereign Intelligence

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