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Best GPS Dataset for Data Analysis

GPS datasets refer to collections of geospatial data that are obtained from Global Positioning System (GPS) devices. These datasets typically include latitude and longitude coordinates, along with additional information such as altitude, speed, and time stamps. GPS datasets are valuable for a wide range of applications, including navigation, transportation planning, urban development, and environmental monitoring. By analyzing and visualizing GPS data, businesses and organizations can gain insights into patterns, trends, and behaviors related to movement and location. These datasets are crucial for developing location-based services, optimizing logistics and supply chains, and making informed decisions based on real-time or historical geospatial information.

54 results
Logo of Irys

Irys | Geospatial Data Insights | Global | Real-Time & Historical GPS Data

by Irys
5.0
Latitude
MAID
Country Code Alpha-2
IPv6 Address
IPv4 Address
Available in
USA
UK
Germany
France
Italy
and 235 more countries
Logo of Veraset

Mobility Data | AFRICA | GPS Data | Foot Traffic Data | Reliable, Compliant, Precise Mobile Location Data

by Veraset
Latitude
MAID
Country Code Alpha-2
Longitude
IP Address
and 2 more attributes
Available in
Nigeria
South Africa
Egypt
Algeria
Angola
and 40 more countries
Logo of Nextraq

GPS Data (Geolocation) Date and time

by Nextraq
Available in
USA
Canada
Logo of Irys

Irys | Mobility Data Insights | Europe | Real-Time & Historical GPS Data

by Irys
5.0
Latitude
MAID
Country Code Alpha-2
Longitude
IPv6 Address
and 2 more attributes
Available in
USA
Canada
Mexico
Guatemala
Panama
and 8 more countries
Logo of Gravy Analytics by Unacast

Unacast Demographic Data for US POIs

by Gravy Analytics by Unacast
5.0
Location ID
Available in
USA
Logo of GapMaps

GIS Data | Global Consumer Visitation Insights to Inform Marketing and Operations Decisions | Location Data | Mobile Location Data

by GapMaps
5.0
Latitude
MAID
Longitude
Area ID
Available in
USA
Canada
India
Japan
Brazil
and 149 more countries
Logo of AI Keyboard

POI/Location Data APAC - GPS and IP Based (90M records) - 1st Party Data

by AI Keyboard
Available in
USA
India
Indonesia
Saudi Arabia
UAE
and 6 more countries
Logo of Veraset

Veraset Movement | Europe | GPS Mobile Location Data | Reliable, Compliant, Precise Location Data

by Veraset
Latitude
MAID
Country Code Alpha-2
Longitude
IP Address
and 2 more attributes
Available in
UK
Germany
France
Italy
Spain
and 39 more countries
Logo of CAP Locations

UK Shopping Centers & High Streets

by CAP Locations
Latitude
Longitude
City Name
Brand Name
POI ID
and 4 more attributes
Available in
UK
Logo of Predik Data-driven

PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market

by Predik Data-driven
4.2
Latitude
Available in
Brazil
Argentina
Colombia
Chile
Peru
and 47 more countries

What is a GPS dataset?

A GPS dataset refers to a collection of geospatial data that is obtained from Global Positioning System (GPS) devices.

What information is included in a GPS dataset?

A GPS dataset typically includes latitude and longitude coordinates, along with additional information such as altitude, speed, and time stamps.

What are the applications of GPS datasets?

GPS datasets are valuable for a wide range of applications, including navigation, transportation planning, urban development, and environmental monitoring.

How can businesses and organizations benefit from analyzing GPS datasets?

By analyzing and visualizing GPS data, businesses and organizations can gain insights into patterns, trends, and behaviors related to movement and location.

What are some specific use cases for GPS datasets?

GPS datasets are crucial for developing location-based services, optimizing logistics and supply chains, and making informed decisions based on real-time or historical geospatial information.

How are GPS datasets collected?

GPS datasets are collected by GPS devices, which use signals from satellites to determine the device’s location. The data is then stored and can be accessed for analysis and visualization.