View some of our work and case studies for clients. We will work to deliver that strategy by building out your existing campaigns, or establishing accounts at new networks. It’s important to us that you own the accounts, and that you have a relationship with the network owners.
Best Geospatial Datasets
What is Geospatial Data?
Geospatial Data refers to the facts of an object or a region located on the Earth’s surface. We can combine Geospatial Data with two types of property – Either static assets or assets in motion. Buildings are known as static assets, while Vehicles are known as motion assets. Geospatial Data has become a part of our daily life and work.
Geospatial Data is also known as “Spatial Data”. Geospatial records include locational information in their Dataset. Directions suggested by the Google maps, Geotagging, Satellite imagery are all contained in Geospatial Data. Geospatial Data can be in the form of coordinates, addresses, cities, or ZIP codes. It is important to get instant locational information for various purposes, which gets from Geospatial Data.
Types including in Geospatial Data:
- Station Data
- Location Data
- Satellite Data
- Map Data
- Stores Location Data
- Marine Traffic Data
- Road Traffic Data
To collect huge amounts of data from various websites and pages is not as easy as we think, because it is a very complex process. Therefore, you need skilled resources to get appropriate data. We are the best Data-as-a-service provider. We are able to simplify your complex process with our newest tools and technology. We can scrape Geospatial Data with high speeds and with 100% accuracy. Web Scrape is helpful to you to find Geospatial Data APIs and Datasets.
Subcategories of Geospatial Data:
- Cell Tower Data
- Foot Traffic Data
- Geodemographic Data
- Geographic Data
- GIS Data
- Location Data
- Map Data
- Mobility Data
- Point of Interest (POI) Data
- Satellite Data
- Visit Data
We provide fully managed, enterprise-ready data as a service - From collecting and structuring to cleaning, normalizing and maintaining the data quality.
Disparate of the complexity of the requirement, our custom web crawlers are flexible enough to deliver tailor-made data solutions by tackling the nuances of web scraping.
Dedicated Account Manager
We ensure that the highest level of customer service is given to each and every customer, every single day. It’s our job to understand the specific needs of our customers and find the best solution for the customer’s needs and requirements.
Need millions of records daily? You’ve reached the right agency. Web Scrape covers the most robust crawling infrastructure that ensures the smooth delivery of data every day.
Privacy & Policy
When you use our services, you trust us with your data. It’s our responsibility to be transparent about the data we collect, provide and how we use it in making our services work better for you.
We analyze your website’s structure, internal architecture & other key elements that are weighted.
Best Geospatial Data Providers
What are the Most Common Types of Geospatial Data?
Cell Tower Data
Cell Tower Data is a record of the mobile activity of any devices connected to a particular cell tower. Cell Tower Data tells you about the number of people connected to a telecom network in one place. It is mainly used for location purposes. It is mainly used by real estate developers to understand human movement and predict development sites.
Foot Traffic Data
Foot Traffic Data measures the number of visitors to a certain area in a given time. It is also known as Footfall. The Foot Traffic dataset is also useful to know how long visitors stay in certain places, which can be displayed using heatmaps. These data are important to gain your profit by understanding your customer's behavior.
Map data is the information of Geo-related attributes needed for building maps. Map Data analyzes population and location which is used for location intelligence and interactive maps. Map data can be real-time, recent, or historic. It is used by many people for various purposes like an investment, planning, and building decisions.
To understand the relation between two different categories, Geodemographic Data combines locational data and demographic analysis. It is used for both scientific and commercial purposes to analyze an area's population by understanding trends between Geography and Demography. These data are important to analyze market strategy and make business-related decisions.
Geographic Data is also called Geospatial Data. Geographic Data is stored in the Geographic information system (GIS). Geographic Data provides information about particular locations or landscapes. Many users use geographical data to analyze the different characteristics of a given population or place. Geographic data is continuous to reflect changes in a given location.
GIS means Geographical information system. GIS is a technological field that incorporates geographical features with tabular data in order to map, analyze, and access real-world problems. GIS is a computer-based system that capturing, storing, checking, and displaying locational data. GIS locational data are used in various industries to make decisions of physical world factors.
Location Data provides geographic position information of an individual or any specified object. Location Data is useful for marketers and retailers to determine marketing strategies and locations. This information is related to the device, building, or landmarks.
Mobility Data is collected from various activities, Digital transactions, and any special movements. Mobility Data is used by many businesses to determine consumer’s behavior. Mobility data is recorded using all devices that enable GPS-like mobility.
Satellite Data provides information related to Earth and planets. It provides information such as changes in the atmosphere, surface, land, etc. Satellite Data is mostly used by scientists and governments to make future decisions.
Visit Data provides you all information related to the number of visitors in certain places over a specific period of time. Mostly, Visit Data is used by real estate developers to predict their next development area. It is used to determine detailed visitor information
Point Of Interest (POI) Data
Point Of Interest or POI is the information related to the mapped locations that individuals and various companies find important. POI is mostly used by retailers and municipalities. POI mapping is very useful in digital map creation because it gives detailed route information with pictures of target sites.
How to Use Geospatial Data?
Example of the Most Common Use Cases for Geospatial Data
Geospatial Data is mostly used by business developers because Geospatial Data provides clear information of geo-assets and customers. This information is helpful to take the right decision for the business future. It makes a transparent system for the government to make specific decisions.
Geospatial Data is used by internet and mobile app companies. These data are helpful to understand customer’s behaviors. They can analyze the audience’s interest, based on different locations.
It provides all detailed information about the location and population on the surface of the Earth. With the help of Geospatial Data, you can choose specific areas as per your interests like areas with maximum activity, most famous places, etc.
In a simple term Geographical Data are helpful for Mapping, Telecom and Network Services, Accident and Hotspot analysis, Urban Planning, Transformation Planning, Navigation, Damage Estimation, Assets management, and maintenance, Etc.
Examples of GIS Attributes
Typical Geospatial Data Attributes
- Locations or Buildings or region
- Traffic level in a certain area
- Visitors Statistics based on varied locations
- Renewable sites
- Natural disaster point
- New tourism places
Similar Data Types
Geospatial Data is similar to Environmental Data, B2B Data, Energy Data, Real Estate Data, and Commerce Data. These all data categories are mainly used for Location Intelligence and Geospatial Data analytics.
Tell us about your project and get a sample with a free quotation.