Spatial infrastructure allows governments to take their geospatial data out of silos and optimize it for practical use.

analysis or modeling of data in a geographic area based on pre-established and computerized criteria and standards. Spatial analysis is a process of modeling, examining, and interpreting model ...

Almost half of The Gym Group’s HQ staff work in the tech department. Why does a fitness chain have such a focus on data?

Are you passionate about using data and analytics to improve cities and solve spatial problems? The MSc in Geographic Data Science and Spatial Analytics will help you to achieve your ambitions. Join a ...

Spatial transcriptomics is an advanced technique that analyzes gene expression within tissue sections, such as those from the ...

Spatial transcriptomics techniques, which map gene activity in intact tissues, often face challenges in accurately identifying distinct tissue regions. Now, researchers from Japan have developed STAIG ...

optical and radar remotely sensed data are just some of the numerous types of data that are continuously collected at different spatial and temporal scales. By means of model-data fusion it is ...

There have been some concerns that pre-training on text is hitting a wall in AI model development, and there might be ...

The AI model employs a hybrid deep learning approach combining convolutional neural networks (CNNs) and long short-term memory (LSTM) architectures. CNNs extract spatial features from EEG data, while ...