Technical Assistance
GIS/GPS Mapping
methods of data development
A multitude of methods exist to record system data from pencil drawings to digital CAD drawings. The five primary methods that have been investigated in the process of data collection by Kansas Rural Water are:
manual digitizing,
heads up digitizing over scanned engineering drawings,
heads up digitizing over digital orthophotography with engineering drawing reference,
automated raster/vector conversion,
and field data collection.
Manual Digitizing
Manual digitizing with a digitizing tablet has been widely used in the industry.
With this method, the operator manually traces all the lines from his hardcopy
map using a pointer device and creates an identical digital map on his computer.
For example, collecting a series of points along the line digitizes the line.
Although this method is straight forward, it requires an experienced operator
and is very time consuming. For a complex contour map, it can take a person many
days to get the map fully digitized.
Another major drawback of this method is its low accuracy. The accuracy of
manual digitizing merely depends on how accurate the hardcopy map is duplicated
on a computer by hand. The spatial accuracy level the human hand can resolve is
about 40 DPI (dots per inch) in the best case and will be lower while the
operator is tired and bored after working on it for a period of time.
Heads-up Digitizing Over Scanned Engineering Drawings
Heads-up digitizing is similar to manual digitizing in the way the lines have to
be traced by hand, but it works directly on the computer screen using the
scanned raster image (engineering drawing) as backdrop.
While lines are still manually traced, the accuracy level is greater than using
digitizing tablet because the raster images are scanned at high resolution,
normally from 200 dots per inch (DPI) to 1600 DPI. With the help of the display
tools, such as zoom in and out, the operator can actually work with the
resolution of the raster data therefore digitize at a higher accuracy level.
However, the accuracy level is still not guaranteed because it is highly
dependent on the operator and how he digitizes. This method is also
time-consuming and takes about same amount of time as the manual digitizing
method.
Heads-up Digitizing Over Digital Orthophotography with Engineering Drawing
Reference
Heads-up digitizing in this method of data development is similar to the
previous method, heads up digitizing over scanned engineering drawings, except
that it is done over digital orthophotography with engineering drawings used as
a reference.
Automated Raster/Vector Conversion of Scanned Engineering Drawings
Automatic digitizing, or so called automated raster to vector conversion, traces
lines automatically from the scanned raster image using image processing and
pattern recognition techniques. The idea behind automated raster to vector
conversion algorithm is to let the computer do the actual line tracing and
eliminate manual tracing performed by the operator.
The automation of the raster to vector conversion process has been a major
research focus during the past two decades. Only in recent years has automated
raster to vector conversion software on PCs and small computers become practical
and commercially available for data acquisition applications. However, fully
automatic raster to vector conversion cannot be applied in cases such as low
image quality and complex layers.
Field Data Collection
Field data collection is a process of data development where the coordinates of
visible system features are collected. The accuracy of the collection equipment
is paramount when the features have to be later re-located, such as buried
valves. This process in itself, although accurate, does not lend itself readily
to map production. An auxiliary system is required in order to make the data
more "user friendly".
The Winning Combination
Kansas Rural Water has determined that the best process for data development is
a combination of two processes, heads up digitizing over digital
orthophotography with engineering drawing reference augmented with field data
collection.
The data from the field collection are imported over the digital
orthophotography and if the scales and projections are correct, the points
appear on the aerial just where they are in the real world. The heads up
digitizing begins with the placement of non-visible system features, those that
could not be field collected, over the aerial. Referring to the engineering
drawing aids in the correct placement of features, such as line location, and
the correct layout of interchanges, such as valve intersections.
The field data collection is crucial in that it shows the exact placement of a
feature versus a close approximation through the digitizing process.