Intelligent Campus

An interesting project from Jisc, a company that “provides digital solutions for UK education and research.” The website has a blog post highlighting their view of a smart library. Also the common data for a smart campus:

  • Maps
  • Space utilisation
  • Learning space description
  • Movement and tracking data
  • Sensors
  • Temperature
  • Humidity
  • CO2 levels
  • Timetabling
  • Fitness Apps
  • Mobile Apps
  • CCTV
  • IoT
  • Smart buildings
  • RFID Tracking
  • Wi-Fi Tracking

US Semantic Tech Symposium

Some of the points brought up by Ken Bagstad @ USGS regarding the US Semantic Technologies Symposium (http://us2ts.org/):

  1. Strong emphasis on ontology development than application, but limited mentioning of geo-semantics in the plenary track.
  2. Constant calls for more tools but no inventory of existing tools, strengths/weaknesses, and how they “might be built”.

The context to raise this issue: does the community (ESIP) have a clear big picture goals that goes beyond the ESIP bylaws?

Tools mentioned in Ken Bagstad’s email include:

  • SWEET
  • COR
  • BioPortal and CEDAR (by John)
  • k.LAB and Integrated Modelling

Vancouver Historical GIS

1912 Goad’s atlas was scanned and digitized to be added to their vanmap system. The effort is somewhat similar to GIS SI at Geography, NUS, yet we have only scanned the historical maps.

For a full description of their effort, see https://canadiangis.com/vintage-vancouver-maps-plans.php

 

Visualizing bike movement in Singapore

Recently, a video showing bike (moBike) usage in Singapore over a 24 hour period was spotted on Youtube (see below).

While impressive, the work may not be applicable to scenarios where the temporal resolution is low. The temporal resolution of the moBike data is, presumably, per minute. Over a 24 hour period would result in 24 hours * 60 minutes = 1440 time steps. Do you have the same temporal resolution to adapt this approach for an effective visualization of movement patterns?