Geospatial Analysis: The systematic analysis of data that is associated with geographical locations, often utilising spatial and temporal information to draw meaningful conclusions.

The minor in Geospatial Analysis provides students with a hands-on and theoretical understanding of the uses and applications of geospatial analysis. Geospatial analysis is the process of gathering, ...

The B.S. in Geospatial Information Science and Technology (GIST) will allow you to combine proficiency in spatial thinking and geospatial data science analysis with fluency in geographic information ...

This paradigm shift from traditional 2D-based visual AI to advanced 'Spatial AI' promises to revolutionise how machines perceive, interpret and interact with the three-dimensional world around us.

Jeremy’s computational research lab leads the development of machine learning-based models for the analysis of spatial omic data. We caught up with Jeremy at AACR 2024 to discuss his lab’s work, get ...

UNG is launching its master's degree in spatial data and information sciences this fall, aiming to help students become leaders in integrative data analysis. Spatial data scientists analyze the ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Spatial data has become increasingly available to businesses and government bodies alike, and there is much more that can be done to leverage its power.

Data Through Design is an annual alternative cartography and art exhibition held during New York City’s Open Data Week, an endeavor of the Mayor’s Office of Data Analytics. The objective of the ...

Panel discussion on the development, application and analysis of spatial technologies and data with leading experts in the field.

San Diego-based Sharp HealthCare has launched the Spatial Computing Center of Excellence, an initiative aimed at changing how clinicians interact with technology.