Geospatial datais information that describes objects, events or other features with a location on or near the surface of the earth. Geospatial data typically combines location information (usually coordinates on the earth) and attribute information (the characteristics of the object, event or phenomena...
The increasing number of use cases for geospatial data is steadily growing the geospatial data analytics market. Some market analysts estimate that the geospatial data industry will nearlydouble in sizebetween 2021 and 2026. The types of fields – both commercial and non-commercial – that geospatial...
Geospatial artificial intelligence (GeoAI) is the application of artificial intelligence fused with geospatial data, science, and technology to accelerate real-world understanding.
Heat Map: A type of geospatial visualization in map form which displays specific data values as different colors (this doesn’t need to be temperatures, but that is a common use). Learn more. Highlight Table: A form of table that uses color to categorize similar data, allowing the viewer...
Matt Ball
Now let’s look at business intelligence from the perspective of industry thought leaders and subject matter experts. Hans Peter Luhn IBM researcher Hans Peter Luhn is credited with coining the term Business Intelligence in 1958. Luhn defines BI as “the ability to apprehend the interrelationships ...
What Is a Geography Major? Geography majors learn how the environment and humans interact and affect one another. This broad major can be understood through areas including physical geography, human geography, and geospatial representation and analysis. There is considerable overlap between these discipli...
See why asset-intensive industry leaders use IBM Maximo EAM software. See the infographic Amsterdam Airport Schiphol Avoiding delays due to equipment failure is a big win in the airport business. Schipol deployed a mobile EAM solution that automatically prioritizes incidents and gets them efficiently ...
Firstly, considering the nature of the dataset is crucial. Different types of data may lend themselves better to specific visualization techniques or formats. For instance, geographical data might benefit from mapping tools or geospatial visualization capabilities, while time-series data could be effectiv...
Why the geospatial industry is missing a trick on climate risk This article looks at the reasons why it's changed for fund managers and real estate portfolio holders and how geospatial data is being underutilised in helping them. Climate risk is going to change the value of assets and how ...