
What is geospatial data? - IBM
Geospatial data typically involves large sets of spatial data gleaned from many diverse sources in varying formats and can include information such as census data, satellite imagery, weather …
What Is a Geographic Information System (GIS)? | IBM
With GIS, users can create interactive queries, analyze spatial information, edit data, integrate maps and present the results of these tasks. GIS is part of Geographic Information Science, …
What is spatial perspective? - Answers
Spatial perspective refers to how individuals perceive and understand the physical space around them, including the relationship between objects and their distances, sizes, and directions in a ...
Spatial reference systems - IBM
The spatial extent of the flood plains is a space that extends on a west-east plane between the two latitudes and on a north-south plane between the two longitudes. You can include these …
What is Dimensionality Reduction? | IBM
Dimensionality reduction is a method for representing a given dataset using a lower number of features (that is, dimensions) while still capturing the original data’s meaningful properties. 1 …
What is the definition of spatial perspective? - Answers
May 3, 2024 · Spatial perspective is more concerned with the physical arrangement of features, while ecological perspective explores the relationships and processes that shape spatial …
What Is a Digital Twin? | IBM
Dec 4, 2020 · A digital twin is a virtual representation of an object or system that uses real-time data to accurately reflect its real-world counterpart’s behavior and performance.
What Is Reasoning in AI? | IBM
Reasoning in artificial intelligence (AI) refers to the mechanism of using available information to generate predictions, make inferences and draw conclusions. It involves representing data in a …
Data Warehouses vs. Data Lakes vs. Data Lakehouses | IBM
Data warehouses, data lakes and data lakehouses are different types of data management solutions with different functions.
What is clustering? - IBM
Clustering is an unsupervised machine learning algorithm that organizes and classifies different objects, data points, or observations into groups or clusters based on similarities or patterns.