Data Nucleus
NOTE: This post is from one of our frequent contributors to this blog, "Birdseye59604.
For a moment, look at Data
as a Nucleus where Data is the Atom and the Variables are Negative (electron)
charges or Positive (proton) charges, creating Data Nucleus. The atom, or data,
is constant, while electrons and protons are variables. If the number of
protons and electrons are equal, that atom is electrically neutral, and
variables in the processes are predictable within standard deviations.
Environmental and human variables shapes data
nucleus.
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When conducting a risk
assessment based on collected data, and predicting the future based on that
data, is like collecting locations of marbles when they are dropped, and then applying
assumptions that these marbles will duplicate exact same location every time. The
purpose of risk assessments are to predict the future based on past history.
This is impossible, since data which are collected are data nucleus, with
variable forces at that moment in time. These variable forces do no carry
forward with past data collected. Without applying current data nucleus, risk
assessments are just opinions of common sense without future reliability.
Incorrect risk-based wildfire management is not management
but opinions.
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It is widespread knowledge
that forests around the world rejuvenate themselves by burning fires. These
fires are damaging with an extremely high monetary cost. Wildfires burns not
only the forest, but destroy lives, homes, businesses, equipment, recreational
structures and everything else that are in their raging path. Precision
dispatching of wildfire fighting resources to predicted regions becomes highly
important.
These risk-based dispatching
decisions, which are based on recorded data from previous years, become
assumptions and opinions unless data nucleus is applied to each data collected.
BirdsEye59604
Information Resources: dtitraining.com click on "Workshops" and "Symposium"
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