Copyright, 1998-2013 © Qiming Zhou GEOG1150. Cartography Sources of Data.
Transcript of Copyright, 1998-2013 © Qiming Zhou GEOG1150. Cartography Sources of Data.
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Copyright, 1998-2013 © Qiming Zhou
GEOG1150. Cartography
Sources of DataSources of Data
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Sources of Data 2
Sources of data
Map as a representation of the reality Ground survey and positioning Remote sensing data collection Census and sampling
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Sources of Data 3
Map as a representation of reality Spatial data - spatially referenced
objects or phenomena Reality Model construction and selection Selection and construction to a
cartographic representation Map Results in the user’s mental map
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Sources of Data 4
The nature of spatial data
The nature of spatial data: from reality (a), via model construction and selection to digital landscape model (b), followed by selection and construction to a cartographic representation towards a digital cartographic model (c), presented as a map (d), which results in the user's mental map (e).
From Kraak and Ormelig, 1996.
realityreality
digital landscape
model
digital landscape
model
digital cartographi
c model
digital cartographi
c model
mapmap
mental map
mental map
drawing code for dots, dashes & patches
model constructiongeographical object selection
select and constructcartographic representation
medium output
areageometryattributes
pointsgeometryattributes
linesgeometryattributesx
y
z
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Sources of Data 5
Geographical objects
The representation of geographical objects in a (digital) environment as (a) points, (b) lines, (c) areas and (d) volumes.
From Kraak and Ormeling, 1996
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Sources of Data 6
1-D and 2-D objects
The dimensionality of geographical objects – 1-D (inset map) and 2-D.
From Kraak and Ormeling, 1996
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Sources of Data 7
3-D objects
The dimensionality of geographical objects – 3-D.
From Kraak and Ormeling, 1996
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Sources of Data 8
4-D objects
The dimensionality of geographical objects – 4-D/time.From Kraak and Ormeling, 1996
before after
18 May 1980
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Sources of Data 9
Ground survey and positioning Geodesy - study of the shape and size of the
earth. The earth is so large that its curvature is
relatively insignificant at the local scale. Thus, we may use plane geometry instead of
spherical geometry for plane survey.
plane
sphe
re
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Sources of Data 10
Surveying
The aim of surveying is basically to define the location of a point.
Since location is a relative rather than absolute concept, surveyors determine new positions with respect to an existing reference feature.
The geodetic control points provide the frame of reference for surveying.
Measurement of distance and angles based on the Euclidean geometry.
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Sources of Data 11
Measuring distance
Mechanical aids: measuring rods, flexible chains and ruled measuring tapes Physical limitations
Electronic distance measuring (EDM) instruments: laser beam or radio waves Line of sight
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Sources of Data 12
Laser distance measuring
Laser beams and radio waves can be used to determine distances between electronic distance measuring instruments with great accuracy.
From Robinson, et al., 1995
A laser distance measurer
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Sources of Data 13
Measuring direction
Direction is defined as angular deviation from a baseline True north - direction to the north pole Magnetic north pole: > 1600 km south of the true
north pole and changing Magnetic declination - local difference between
the true and magnetic north Compass deviation - unpredictable error in
compass readings Compass, optical sighting instruments,
gyrocompass, radio compass
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Sources of Data 14
A theodolite
By combining optics with a bubble level and vertical degree circle (a circular protractor ruled in degrees), surveyors could measure horizontal angles as well as vertical angles. The resulting instrument was called transit, which evolved into the modern theodolite.
Robinson, et al., 1995
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Sources of Data 15
Traditional survey methods Finding horizontal position
Traverse Triangulation Trilateration
Finding vertical position Differential leveling Trigonometric leveling
Using a transit or theodolite
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Sources of Data 16
Some basic theorems
A
B
C
A(x1, y1)
B(x2, y2)
C(x2, y1)
X
Y
A
C
B
X
Y
ab
c
X
Y
A
C
B
ab
c
Trigonometric Functions
b
aA
c
bA
c
aA tancossin
Pythagorean Theorem22222 bacbac
Distance Theorem
2122
12 yyxxd
Law of Cosines
Cabbac
Baccab
Abccba
cos2
cos2
cos2
222
222
222
Law of Sines
B
b
A
a
C
c
sinsinsin
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Sources of Data 17
Traverse
The traverse method involves determining the location of an unknown point by making a series of direction and distance measurements.
From Robinson, et al., 1995.
(Measured angles and distance)
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Sources of Data 18
Triangulation
Starting with a baseline of known length on the ground, the position of an off-baseline point can be determined by triangulation, which involves measuring the angles to the point to be located from the ends of the baseline.
From Robinson, et al., 1995.
(Measured angles)
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Sources of Data 19
Trilateration
Starting with a baseline of known length on the ground, the position of an off-baseline point can be determined by trilateration, which involves measuring distances to the point to be located from the ends of the baseline.
From Robinson, et al., 1995.
(Measured distance)
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Sources of Data 20
Differential levelling
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Sources of Data 21
Trigonometric levelling
Acac
aA
sin
sin
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Automated survey systems Total-station instruments
Electronic tacheometer Electronic positioning
NAVSTAR (USDOD) global positioning system (GPS)
Fully operational in 1994 24 orbiting satellites (21+3) Positioned in 6 evenly spaced orbital planes Standard position service (SPS) and precise
positioning service (PPS)
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Sources of Data 23
Total station
A total station looks like a normal theodolite but it has a microcomputer for measuring and recording, as well as laser-beam device for distance measuring.
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Global Positioning System
A Global Positioning System (GPS) receiver that can be used in the field as a hand-held instrument or connected to the computer with digital maps as field navigation system.
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Remote sensing data collection Electromagnetic radiation (EMR)
Electromagnetic wave Absorption and reflection
Aerial photography Panchromatic film (0.3 - 0.7m) Aerial photograph geometry
Electronic imaging devices Satellite images
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Vis
ible
UV
Infr
are
d
Sun’s energy (at 6000°K)
Earth’s energy (at 300°K)
0.3m 1m 10m 100m 1mm 1m
Wavelength
En
erg
y
(a) Energy sources
0.3m 1m 10m 100m 1mm 1m
Wavelength
Human eye
Photography Thermal IR scanners
Electro-optical sensors Passive microwave
(c) Common remote sensing systems
Imaging radar
0.3m 1m 10m 100m 1mm 1m
Wavelength
0%
10
0%
Tra
nsm
issi
on
(b) Atmospheric transmittance
Energy absorbedand scattered
The electro-magnetic spectrum
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Sources of Data 27
B/W airphoto
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Sources of Data 28
Natural colour airphoto
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Sources of Data 29
Colour infrared airphoto
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Sources of Data 30
Panchromatic satellite image
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Multi-spectral satellite image
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Census and sampling
Census - identify and record all members of a population.
Geocoding - the practice of attaching locational information to census data. Entity focus - vector and raster
geocoding. Aggregation.
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Sources of Data 33
Vector geocoding
Coordinates are used to define the location of point, line, area and volume features in vector geocoding.
From Robinson, et al., 1995
POINT
(X, Y)
P1(x1, y1)
P2(x2, y2) P1(x1, y1)
P2(x2, y2)
P3(x3, y3)P4(x4, y4)
P5(x5, y5)
x
y
z
P1(x1, y1, z1) P2(x2, y2, z2)
P3(x3, y3, z3)
P4(x4, y4 , z4)P5(x5, y5 , z5)
P6(x6, y6, z6)
P7(x7, y7, z7)
P8(x8, y8, z8)
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Sources of Data 34
Raster geocoding
Pixels are used to define the location of geographical entities in raster geocoding.
After Robinson, et al., 1995
1 2 3
1
2
3
n
m
(m, n)
Line
AreaPoint
COLUMNS
RO
WS
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Sources of Data 35
Spatial sampling
To make observations at a limited number of carefully chosen locations that are representative of a distribution
Size of sample - dependent upon the nature of distribution
Sampling units - points, lines (transects) and areas (quadrats)
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Sources of Data 36
Sampling Units
Line (Transect) sample
Area (Quadrat) sample
Point sample
Spatial sampling is performed using either point, line or area units, or some combination of these geometric forms.
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Sources of Data 37
Sampling Strategy
Spatial distribution Clustered, random and uniform distribution
Sampling strategy Random Systematic Stratified
Sampling theorem - a sampling interval should be less than half the size of target features in a distribution
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Sources of Data 38
Sample scatter
Sample scatter is usually described in terms of deviation from randomness, with clustering at one extreme and uniformity at the other.
From Robinson, et al., 1995
Clustering Random Regularity
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Sources of Data 39
Stratification
Sampling based on stratification is highly efficient, because it takes advantage of what is already known about the distribution being sampled.
From Robinson, et al., 1995
Forest Type Survey
High
Medium
Low
Sample site
Vegetation diversity
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Sources of Data 40
Sampling intervalPeriod
Sampling Interval
Am
plitu
de
According to the sampling theorem, the sampling interval needs to be less than half the size of target features in a distribution.
Robinson, et al., 1995