Traditional GIS applications have long been a trusted tool of the trade for professionals working in the field of emergency management. Recent advances have led to a greater capability to undertake a holistic approach to incident management utilising much more than the conventional knowledge derived from static maps and GIS silos.
The idea for biosensors — using some part of an organism to generate a signal to measure or monitor the presence of a substance — has been around for more than a century. The classic example is the use of canaries in coal mines to detect toxic gasses. Because these tiny birds are so sensitive to these gases that they would sicken long before the miners felt the effects, they served as a warning system.
For thousands of years, humanity has sought to improve its ability to make decisions. Record keeping and information gathering has driven many of the innovations. Better information leads to competitive advantage on the battlefield and in the boardroom. But today, we have a truly 21st century problem: too much information. Or rather, too much data, and not enough information.
For decades, state and local departments of transportation have collected traffic data by means of a variety of methods — including sub-surface magnetic induction loops, pneumatic hoses laid across lanes, piezoelectric sensors placed alongside roadways, and vehicle counts by human observers. These traditional traffic data collection methods, however, are limited in coverage and expensive to implement and maintain.
Today, geospatial data is used in critical decision making across industries and applications – from disaster response to defense and intelligence and natural resource management. When using geospatial data to make critical decisions, it is increasingly important to understand an area of interest from all angles in order to make the most informed decisions possible.