The spatial twin research at UQ's VisLab combines 3D scanning, point clouds and arrays of environmental and spatial sensors.

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution ...

Don Murray is cofounder of Safe Software and has spent his career helping organizations bring life to data to make better decisions. The world we live in is spatial. Think about how many times you use ...

Title Geospatial data resampling and resolution effects on watershed modeling: A case study using the agricultural non-point source pollution model ...

Open the Planetary Computer data catalog and you will find all kinds of useful data: from decades’ worth of satellite imagery to biomass maps, from the US Census to fire data. All together, there are ...

This eight-week, self-directed online course will introduce students to important concepts in geographic data science and guided practical exercises in use of R and Google Earth Engine to process, ...

Spatial data is any type of data that directly or indirectly references a specific geographical area or location. It is most commonly processed and analyzed by geographical information systems (GISes) ...

Map of book deserts created by the Geospatial Centroid for Unite for Literacy. Lighter shades indicate areas predicted to have over 100 books in households, and darker areas indicate places that are ...