Objectives of Lecture:
equation is bone-crushingly simple (Pythagoraean Theorem), but still raises issues of calculation. For example, why take square root? (square your tolerance instead...)
Pythagorean distance is on a flat surface (the projection, see later lectures...). Scale error of distance can be an issue to consider (length error of UTM for Oregon, of the State Plane North extended to the whole state)
Why not calculate on a sphere or the ellipsoid ?
- Australian site with three methods and a calculator
- Distance Calculate with four methods (from Joint Mapping Tool Kit - NIMA)
- Another calculator online; what method is being used?
- (Who actually cares about such nuances? See the radio industry/hobby that developed into the line of sight communications industry - $$$$$) Programs for radio. Notie it links to a calculation of BEARING (angle).
equations (based on vector products of coordinates) given without showing why... Actually the formula is a simplification of the trapezoid rule. Note B&W concerns about large intermediate results (local origins); Result has a SIGN (total consternation? how can area be negative? - but of course, more information hiding in the way you calculate it...)
Warboys just says it is the mean of the vertex vectors (but for REGULAR polygons).
implemented by summing up cross products (example from Clarke on overheads; handout from Bowyer and Woodwark)
Actually requires a calculation of AREA as a part of the process.
Cartometry: The study of map measurements. Basically focused on geometric measurements: length and area, though some attribute issues could be considered cartometric. Mostly an obsolete issue, as digital representation can employ analytical methods to derive the measurements.
The Cartometric Equipment:
Measurement of area: dot grid; polar planimeter
Measurement of length: wheel-based gadgets, dividers, string...
Sounds simple: line is shortest path between two points, hence
length of line is an attribute of the line, a necessary property...
Works fine for STRAIGHT lines...
More complex lines are not so simple...
If sampled at higher and higher resolutions, the length of the
line increases continuously (and essentially without bounds!)
"Fractal Dimension" D is the exponent where distance
is predicted from the resolution.
For lines, D=1 is a straight line; D=2 fills all space (a Peano
curve)
Intermediate values mean partially space filling...
Mandelbrot asserts that natural curves are fractals, with a
constant D.
emprially, this is a first approximation. More likely there are
thresholds in which the regression fit is good, then some radical
change in behavior.
We will attempt to estimate D for Bainbridge Island in the Lab.
Version of 22 January 2003