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Map Data

Map data is information about the geo related attributes needed for building maps. It's mostly used by location intelligence companies e.g. in creating visual representations of real life events and our geography. Datarade helps you find the right map data providers and datasets.

Top Map Data APIs, Datasets, and Databases

Find the top commercial Map Data sets, feeds and streams.

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Data Finder

by Open Weather Map

API for managing your personal weather stations Creation of the station and measurements transfer Receiving the aggregated measurements from the station Available for Free and all other paid acc...

Features

Based on Map Data

by Destinycs

We have proven experience of working on large map data projects that require significant ramp up and training within a short turnaround time ... DCS has the expertise to handle end to end map data development, maintenance and enhancement, from specifications creation to actual production

Availability

One-off purchase

Features

Based on Point of Interest (POI) Data

Covers India

by SafeGraph

Base information about a point of interest (POI) such as location name, address and brand association for top ~5,500 national brands. Available for ~6.1MM POI.

Features

Based on Map Data

by Meteomatics

environmental data. ... Features Fast acquisition and computation of weather, satellite and radar data Weather data in up to 5-minute temporal resolution Downscaling

Availability

Monthly subscription

Features

Based on Weather Data

Global geo coverage

Geometry

Dataset

by SafeGraph

Geometry information for commercial POIs that includes the polygon of the POI and spatial hierarchy metadata defining whether the polygon is contained within another POI. Available for ~6.1MM POI.

Features

Based on Location Data

Top Map Data Providers, Vendors, and Companies

Find the top Map Data aggregators, suppliers, and firms.

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Data Finder

2GIS

Russian Federation
2GIS is a data provider offering Intent Data, Map Data, B2B Leads Data, Address Data, Business Listings Data, B2B Contact Data, and Consumer Lifestyle Data. They are headquartered in Russian Federa...

MapKing

Hong Kong
MapKing is a data provider offering Telecom Data and Map Data. They are headquartered in Hong Kong.

SafeGraph

United States of America
SafeGraph is a data company. That's it - that's all we do. We predict the past. We want to understand how humans interact with the physical world. We are a market leader in accurate location data. ...

Unacast

United States of America
Unacast is an award-winning human mobility data company that harnesses anonymous device location data, map data, and strategic intelligence to tackle business challenges for the retail, real estate...

Open Weather Map

United Kingdom
Openweather is a small IT company, established in 2014 by a group of engineers and experts in Big Data, data processing, and satellite imagery processing. Our headquarters is in the UK, we have an ...

Meteomatics

Switzerland
Meteomatics provides the market leading Weather API. Our unique data delivery architecture provides near-real-time, high-quality processed weather and environmental data in a single, simple-to-use ...

Reonomy

United States of America
Reonomy leverages big data, partnerships and machine learning to connect the fragmented, disparate world of commercial real estate. By providing unparalleled access to property intelligence, Reo...

Intexfy

Brazil
Intexfy is a B2B data enrichment platform that automates the collection of information for lead qualification.

The Ultimate Guide to Map Data 2020

Learn everything about Map Data. Understand data sources, popular use cases, and data quality.

What is Map Data?

Over the last few years the usage and development of maps has increased dramatically. Now everyone and everything has become connected, Map Data has become more important than ever. Increased use cases has meant Map Data analytics have had to evolve rapidly to support increased demand for more accurate and detailed data. Map Data analyzes information about locations and populations and is used in the creation of responsive and interactive maps and location intelligence and analyse geographic content.

Map Data systems supply a wide variety of maps, including weather and traffic maps and information on global populations. Map Data high resolution global maps can be realtime, recent or historic. For example, Ordinance survey alone make over 20,000 changes a day to the map of Great Britain. Map Data is important for many sectors, including health, education, business, manufacturing and insurance. Building a digital representation of reality that is always accurate and fresh is one of Map Data ‘s greatest challenges. Map Data is at the forefront of mapping innovations. It serves automotive OEMs, businesses and governments that require the most accurate location intelligence, using cutting-edge technology and industrial processes.

Who uses Map Data and for what use cases?

Map Data analysis can be used by a great many people for a lot of different purposes. It can help find the best locations for investment. It supplies information about the Earth’s natural and built environments, which can be used for building and planning decisions. Map Data can be used for location purposes for staff, by building an accurate picture of your services and customer and staff locations and calculating customer drive times. It can be used by businesses for site selections for new business locations. It can identify potential development sites for installations, such as wind turbines. It can be used by police to map areas by volume of crime and types of crime, to decide priority areas for patrol. It can determine who or what is within a short distance of a facility so businesses can choose locations close to highly populated areas. It can identify changing trends over time periods so businesses can see how their customer demographics have changed. It can locate sites which are most prime for development. It can use competitor, demographic and economic data to locate new market opportunities. It can show the optimized routes for deliveries. It can identify vulnerable people during emergencies. It can be used by utilities to keep customers informed of maintenance works.

Map Data helps advertisers measure performance and gain deeper insights into campaign attribution by applying real-world location context to consumer behaviour. It helps marketers create more relevant campaigns by applying location intelligence to their marketing strategy. This can help them build a more targeted campaign that improves customer experience. Map Data can help with getting an in-depth understanding of consumer behaviour by combining places people visit, traffic patterns, weather, seasonality and a host of other variables to build up a precise picture of your consumers. You can then leverage these location insights to create a more engaging customer experience.

Map Data can be utilized by cities to solve transportation problems such as traffic congestion and to increase efficiency and scalability. It can help improve transport planning and create frictionless end-to-end journeys, thereby improving customer experience.

What are typical Map Data attributes?

There are numerous Map Data attributes depending on what it is you wish to measure, for instance, geographical attributes for a city might include: population, types of public transport, and land-use patterns. Census data might include ethnicity, marital status and types of heating used. Ordinal data might analyse political boundaries and transportation routes. Social surveys of preferences and perceptions also usually come under ordinal map data. Interval map data measures temperature and year. Ratio level map data measures area and distance. The usefulness of Map Data analytics is that they don’t just use base maps. Instead, with the uses of a GIS system, several types of data are merged together, much like one would add ingredients to make a cake. The result is something much greater than the separate components.

How is Map Data typically collected?

Map Data may come from many sources. It may be already collected or you may need to source it yourself. Primary sources of data may include taking photos or videos, conducting interviews, marking locations or site surveys. Secondary source data is data that is already collected and can come from many sources, such as paper maps, Digital Globe, VGI, geovisualisation, digital imaging, laser scanners, stereo images, GPS, remote sensing and photogrammetry. This primary or secondary sourcing is your base layer. It is then typically combined with a GIS system to get the information you require. Intuitive spatial analysis tools help you learn more from your data. Map data can be combined with demographical and lifestyle data to add valuable context. You can create Map data with a variety of tools and then adjust your data on an interactive map to find the answers you need. BMW is a cased in study of applying Map Data to find real-world solutions.

BMW employs smart technology to increase safety for drivers. They employ the latest HD maps, which show a wealth of detail, not just roads and routes. They are created using billions of pixels to create realistic detail, which is displayed in three-dimensional images. The raw material is not provided by a camera, but by Lidar (Light Detection and Ranging). This is a highly sensitive vehicle-mounted laser scanner which shoots high-frequency pulses of laser light. These are reflected by objects and returned to the sensor, which can measure the distance from each individual point.
NASA, for example, used this technology to accurately measure the exact topography of the moon.

Radar and ultrasound are also used to measure distances to other vehicles and objects in the vicinity. Optical cameras provide information about the driving environment and traffic and recognize road signs and traffic lights. They are not 100% accurate. It’s always possible a road sign may be obscured but they can be compared with HD maps to check for accuracy. The HD map is used as an additional sensor and this double checking increases driving safety. BMW play as many traffic situations as possible to their computer, together with an assessment of the situations. Gradually, the computer develops its own understanding of which driving strategies are most suitable. According to BMW the computer is being trained by reinforcement learning. The goal for BMW is to create cars that are so intelligent in automated mode that they behave correctly in any traffic situation. So far, the BMW 5 series can regulate the speed of the vehicle depending on traffic conditions, make sure that the vehicle stays in its lane, and assist in manoeuvres such as switching lanes. BMW hopes to have a fully automated car by 2021.

How to assess the quality of Map Data?

One of the most important issues with Map Data is the quality of the data. Map Data should be specific, relevant and as error free as possible. It is impossible for Map Data to be completely error free, but data should be as valid, accurate and precise as possible. Map data should be ‘fit for purpose’ depending on the accuracy required. Some projects are more quality sensitive than others. System errors usually follow a pattern and can often be corrected by adjusting the measurements by a constant factor. Random errors are more difficult to detect and correct. Accuracy can be improved by taking the average data point from multiple measurements. As with other forms of data analytics, regular testing and measurements by quantitive systems designed to do so can assess data quality. Freshness is an integral part of accurate mapping. And accuracy is necessary for smooth organizational operations, enabling businesses to give accurate ETAs to customers, deliver on time and meet stringent specifications.

How is Map Data typically priced?

Map Data is usually paid for as a pay-as-you go service, with tiered prices depending on the volume of maps you request. Most providers will supply a monthly bill for the Map Data you have used the previous month.

What are the common challenges when buying Map Data?

One of the common challenges when purchasing Map Data is ensuring the information is accurate and up-to-date. Otherwise any results gathered will be inaccurate and outdated. Challenges to obtaining accurate Map Data include human error, environmental characteristics changing over time and instrument errors as instruments can only be so precise, even if the error is so small as to be undetectable.

What to ask Map Data providers?

If you are considering purchasing a Map Data analytics system, here are some questions you might want to ask your provider:

  • Will the Map data system meet the needs of my business?
  • How comprehensive is the Map Data coverage?
  • How often is it updated?
  • How accurate is the Map Data system and how is this measured?
  • How detailed is the map data?
  • How soon will it be delivered?
  • Will it link with other systems?
  • Will it integrate with my existing systems or do I need new IT?

Popular Map Data Use Cases

Find out the most common applications of Map Data.

Location Intelligence