This year is a very important year for me: I am officially a blogger for RPLS.com, andI’ll soon be graduating college and finding an employer that I will work for over the nextseveral years consistently-a very big thing when going back and forth between schooland internships.
I had a rare opportunity to watch a bunch of TV this holiday, mostly documentaries, but they were varied in content. After watching several on history I began to realize how flimsy our construction is. The shows highlighted the work of the Romans, their great cities many of which still stand today; their public works facilities, their roads, bridges and coliseums, libraries and meeting places.
reading Jeffery N. Lucas’ column, “Traversing the Law: Math isn’t the answer;
it’s the problem” (July 2010), it has taken me this length of time to simmer
down and respond. Mathematics
is not the problem. Mathematics is the language used to describe physical
phenomena and provide insight into the interactions of the phenomena’s physical
First of all, Merry Christmas to my colleagues in the business! Here we are at the end of a horrendous year of business for most people in engineering, surveying and construction. Land development is all but gone, infrastructure shows promise but could be a mere fleeting tease of what should be. What does 2011 look like from your point of view?
I received a press release late yesterday afternoon about new bachelor’s and associate of science degrees in Geomatics at Utah Valley University (UVU). One phrase in particular caught my eye. In its description of the program, the university stated: “Geomatics, formerly known as Surveying… .”
Quality is a decision - a decision based on a desired outcome. When it
comes to data, GIS data in particular, it is as the saying goes -
garbage in – garbage out. As project pace picks up and milestones turn
into deadlines, it is easy to overlook the relevance of data quality as a
front line mechanism in assuring purposeful data.
The current business model, as I have experienced it, is basically
charging clients for the number of hours worked. A bid is created based on what
costs the company expects to take in term of time, equipment and personnel
required. This bid can be a single number or based on an hourly rate sheet. As
data collection and processing become more automated and simpler to produce, the
value of hourly work diminishes quickly. This is already well-known; who hasn't
been told not to work themselves out of a job?