MARUDUT PARSAORAN ANAKAMPUN

In the 1950s,  scholars worried that , thanks to technological innovations, Americans wouldn't know what to do with all of their leisure time. Yet today, as sociologist Juliet Schor  notes , Americans are overworked, putting in more hours than at any time since the Depression and more than in any other in Western society. It's probably not unrelated to the fact that instant and constant access has become de rigueur, and our devices constantly expose us to a barrage of colliding and clamoring messages: "Urgent," "Breaking News," "For immediate release," "Answer needed ASAP." Advertisement It disturbs our leisure time, our family time – even our consciousness. Over the past decade, I've tried to understand the social and psychological effects of our growing interactions with new information and communication technologies, a topic I examine in my book " The Terminal Self: Everyday Life in Hypermodern Times ."

= Temporal GIS Algebra for Raster and Vector Data = The idea is to implement a temporal GIS algebra to process space time datasets of type raster and vector,  the new spatio-temporal datatypes in GRASS GIS 7. Space time datasets represent time series of raster, 3D raster and vector maps.  The GRASS GIS temporal framework implements a snapshot approach,  so that time and space are separated from each other.  Hence, space time datasets are not truly 4 dimensional datatypes, time and space can only be processed separately from each other. The spatial capabilities of GRASS GIS are used to perform the spatial  processing of the time stamped maps that are registered in the space time datasets.  We use the modules r.mapcalc for raster processing and v.buffer, v.overlay, v.patch for vector map processing in the algebra.  The temporal processing is provided by the GRASS GIS temporal framework that supports time intervals and time instances.  Mixing time instance and ti