In: Urban Data Science Lab, School of Architecture, Texas A&M University
Abstract: In the era of the 4th industrial revolution, place and time are embedded in data from many sources, critical in solving global problems. However, spatiotemporal data handling is often costly and time consuming, requiring advanced skills. Analytical results are hard to reuse and difficult to share among researchers with different domain knowledge and varying technical skills. The Spatial Data Lab project (SDL) is aimed at solving these problems by re...