GIS Data

GIS (geographic information system) data provides geographic, topographic, demographic, and environmental intelligence. Location-based insights from GIS apps are used in various industries, companies, and customers to make data-driven decisions based on physical world factors. Learn more →
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Our Data Partners
DDS Digital administrative and postcode boundaries (11100 municipalities covered) 11.1K Municipalities icon
11.1K Municipalities
DDS Digital administrative and postcode boundaries (11100 municipalities covered) 249 countries covered icon
249 countries covered
DDS Digital administrative and postcode boundaries (11100 municipalities covered) 5 years of historical data icon
5 years of historical data
Digital boundaries of administrative and postal areas, including superior regional entities
MBI Geodata- Global Area Boundaries (for postcodes & administrative boundaries) 3M micro geographic area boundaries (polygones) worldwide icon
3M micro geographic area boundaries (polygones) worldwide
MBI Geodata- Global Area Boundaries (for postcodes & administrative boundaries) 100% seamless boundaries icon
100% seamless boundaries
MBI Geodata- Global Area Boundaries (for postcodes & administrative boundaries) 240 countries covered icon
240 countries covered
Area Boundaries in vector formats for Geomarketing.
Wikiroutes Global Public Transportation Routes Database (Routes, Stops, Stations Worldwide) 240 countries covered icon
240 countries covered
Wikiroutes Global Public Transportation Routes Database (Routes, Stops, Stations Worldwide) 10 years of historical data icon
10 years of historical data
Public transport content in different formats, which includes flexible adapters for local data formats: * Routes * Trips * Shapes * Stops * Stations (En...
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DDS Digital Data Services
Based in Germany
DDS Digital Data Services
• Spatial Data • Cloud Services • Software & Tools • Consulting
Coverage
Worldwide
Consulting
Independent
Licensing
flexible
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MBI Geodata
Based in Germany
MBI Geodata
MBI is a data company with a key focus on building global consistent and comparable datasets. Preferred data provider & partner to leading IT & GIS companies...
Coverage
worldwide
Data
globally consistent
Quality
strict & continuous controls
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MariTrace
Based in United Kingdom
MariTrace
We process trillions of maritime data points (including AIS data) to measure how vessels and cargos move around the world. From assessing risk to understandi...
1.6M
Vessel signals per hour
>50,000
Commercial vessels tracked
>3M
Vessel port calls logged
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The Ultimate Guide to GIS Data 2021

Learn about gis data analytics, sources, and collection.

What is GIS Data?

GIS data is the backbone of geographical science, and it involves information about locations on the earth’s surface. It relates to information regarding location such as an address, latitude, and longitude. At a basic level, GIS data enables geographers to compare locations and make informed decisions based on the interrelation between the data and various locations. It also provides details about geographical features on the earth’s surface, including its soil and seismic composition. GIS data falls into two sub-categories: vector and raster data. Vector data is represented in either points, lines, or polygons. Raster data is represented in cell-based and elevation data.

How is GIS Data collected?

Surveying is the most holistic approach to GIS data collection. Through surveys, data is either gathered through remote sensing and GPS tracking. Surveys are a primary data collection technique that allows cartographers to create geographical maps. The data can also be collected using digital globes, a 3D illustration of the earth. This data collection technique is the most effective, considering that it is less susceptible to distortions, and it is easily scalable. Location-based Services (LBS) through smartphone apps are also emerging as accurate location trackers for gathering and updating GIS data.

What are the attributes of GIS Data?

GIS data is based on the notion that location matters. As a result, the data is organized spatially, distinguishing it from other information systems. Typical GIS attributes include latitidue/longitude cooridinates and metres above sea level. GIS data is usually expressed digitally, just like other information systems. Its attributes are relevant to several fields, including geography, cartography, and mathematics.

What is GIS Data used for?

Typically GIS data is used to make informed decisions in various industries and companies. One of the common uses of GIS data is mapping. The data can be used to provide visual interpretations key in giving locations. Google Maps is a perfect example of GIS mapping offering navigation solutions. Because the data provides geographical information, it’s is also vital in urban planning. When appropriately applied, GIS data can be used to identify areas for potential urban growth. GIS data is also integral in environmental impact analysis - it can be used to assess the extent of human impact on the environment. GIS is used in several areas relating to government, infrastructure and public services including inventory and administration of resources, crime mapping, building and monitoring routes, managing networks, monitoring and managing transports, managing assets, disaster management and mitigation, and flood damage estimation.

How can a user assess the quality of GIS Data?

GIS data quality can be assessed using several metrics. GIS data providers will be able to prove that their collection methodology and technology ensures the most accurate location and geographic information possible. Environmental Protection Agency (EPA) certificates are also a good means of ensuring that data providers offer accurate, ethical and complete datasets that can be used for making effective, informed decisions. The data provider’s review may also help determine whether it provides high-quality data that can be used to improve geographical science.

GIS/Spatial Data quality can be broken down into data precision, data accuracy and data consistency.

  • Data Precision: Precision is the degree of detail that are shown in a uniform space.
  • Data Accuracy: Is the reported data the same as the real value?
  • Data Consistency: Data consistency is the absence of conflicts in a specific database.

Assessment of the quality of GIS data:
GIS data quality is evaluated using different evaluation methods by different users.