Virtual globes have emerged as a powerful platform for the integration, visualisation and analysis of large-scale geospatial datasets. By combining sophisticated rendering techniques with advances in ...

These days we have a ton of geospatial data coming off the increasing numbers of satellites circling in our atmosphere, but it takes some serious processing power and engineering prowess to turn that ...

The Purdue visualization technique simplifies points on a map into boundaries with various segment widths, making spatial distributions of a large number of objects in different groups or over time ...

Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The course is an introduction to the basic concepts and techniques of Geographic Information Systems (GIS). This course contains lectures and exercises in ArcGIS. The lectures introduce the basic ...

These courses are offered regularly by the Center for Geospatial Analysis: This course will provide an introduction to the fundamentals of geospatial technologies, including using Geographic ...

Topological Data Analysis (TDA) is an increasingly influential framework that leverages the principles of algebraic topology to extract, quantify and visualise the intrinsic structure of complex, high ...

Mapping is central to understanding patterns and good decision-making in environmental science, urban planning, business/logistics, and climate change. Today’s geospatial analysis and visualization is ...

The combined forces of computing power and the cloud are dramatically changing how software companies are delivering functionality, and this is clearly impacting—some would say transforming—how end ...

WEST LAFAYETTE, Ind. – Heat maps or points on a map can be simple and typically effective ways to visualize spatial data sets. But when that data involves many different types of objects – such as ...