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1
Spatial Data
Spatial data comes in many forms. So How does a GIS work with the data
so that it can put the data in the right place on a
map?
2
Outline
• Kinds of spatial data– Vector data
• Points, lines, and polygons• Highway maps
– Raster data and image data• Raster representation of data• Satellite data (Landsat)• Aerial photographs • Digital elevation data
• Real world problems associated converting data from earth’s spherical coordinates to coordinates on a flat surface
324
3
Compare Raster & Vector• Vector GIS
– Objects represented by:
• points• lines• polygons• large database
each object
• Raster GIS– AREA represented
by:• Grid cells• one value per cell• Large number
thematic layers
Forest road
Cropland stream
Looks like a map Looks like
what?
4
Vector Data
Line
Area
Point
“Kinds” of GI data
Aerial Photo
Landsat 7 image
2’ resolution rectified aerial photograph
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The Digital Elevation Raster
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Uses• Vector data is most common
because you can tie huge databases to features
• BUT• Raster data is very good for
continuous surfaces like– Elevation
• Images (dumb picture) data
7
OK…
• Data on the globe is not very useful because you can’t put the globe in your report
• So you need a 2D map• Thus you have to convert 3D data
to 2D• Lets start with the spherical earth
…
8
Syracuse
-76.19 W 43.07N
Where are we?
9
Earth’s Coordinate SystemX is Longitude and is measured E and W from Greenwich, England. West is negative, East is positive
Y is latitude and is measured N and S from the equator. North is positive and S is negative.
These are called Geographic Coordinates
10
X, Y = Longitude, Latitude
Lines of constant LongitudeLines of constant Latitude
0-90 +90-180 +180
0
-30
30
-90
90
-60
60
Equator
Stretch the top
Stretch the bottom
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X, Y = Longitude, Latitude
Lines of constant LongitudeLines of constant Latitude
0-90 +90-180 +180
0
-30
30
-90
90
-60
60
Equator
90E, 30N
90W, 30S
+90, +30
-90 -30
W76.57° N42.93°
-76.57° 42.93°
12
The world in Geographic Coordinates
IsAntarcticaReally that
big?
13
3D to 2D
• Geographic coordinates introduce
too much distortion to be useful• So we need to convert 3D
coordinates into 2D coordinates• But, there is a problem…
14
The Problem
15
16
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The Mercator Projection Making a Projection
18
Some Projections
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Some Projections
It is pretty obvious that if you have data in different projections they are NOT going to “line up” with each other
20
Why different Projections?• Spherical coordinates to flat
surface produces distortions in:– Shape– Area– Distance– Direction
• So different projections for different purposes (Mercator for transportation (rumb line stright)
21
That means…
• Data in different projections will not line up or be congruent!
• This is something you have to be aware of …
• HOWEVER• ArcGIS will project on the fly so
the problem is not great• But only IF there is a metadata
file for the data.
Data abou
t Data
24
Lets make life a bit more difficult
• In addition to the many projections that 2D data can be in…
• There are two Coordinate Systems that are in common use …
• For smaller areas (like ½ a state)• Much of the data you will find useful
will be in one of these systems
25
These systems are…• The UTM coordinate system or
Universal Transverse Mercator coordinate system
• And• The State Plane coordinate
system– Unique to each state
26
UTM Coordinate Systems
• The UTM Coordinate system is – – based on the Mercator projection– A world wide system
• Except that thecylinder is nowhorizontal and sois tangent to theearth along a meridian which passes through the Poles
Central MeridianErrors are Zero!
27
UTM coordinate system• Is a projected coordinate system that
divides the world into 60 north and south zones, each six degrees wide.
• Why bother?
• Increase Accuracy and decrease distortion
• Because all the data for a zone is within 3 degrees of the Central meridian it is pretty accurate!
• Can’t map within multiple zones
• New York is usually mapped in one zone
28
UTM Zones
Most of NY is in UTM Zone 18
29
UTM Coordinates
Easting(X)
Northing(Y)
•The units in UTM are usually Meters•The coordinates are Eastings & Northings•The zone has to be specified
• Example: Location of CCC is: 373,800 Meters E & 4,756,000 Meters N in Zone 18, N
30
The State Plane Coordinate System
• A projected coordinate system used in the United States
• Divides each state into one or more zones
• Also known as SPCS and SPC.
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State Plane• Horizontal zones (Tenn) are in Lambert
Conformal projections• Vertical zones are in Transverse
Mercator projections• Each state has its own origins for its
own system• States may have multiple zones in
different projections• UNITS are usually feet BUT NOT
ALWAYS
32
State Plane ZonesNY West
Zone 4851
NY CentralZone 4826
NY EastZone 4801
NY Long IslandZone 4876
33
State Plane ZonesNY West
Zone 4851
NY CentralZone 4826
NY EastZone 4801
NY Long IslandZone 4876
Transverse
Mercator
Lambert Conform
al
34
Another niggling Problem
• The earth is only approximately spherical• We can mathematically convert features
on the 3D earth to a 2D map easily if the surface is spherical and smooth
• Oops - earth is pear shaped and rough• So we have to introduce the idea of a
datum
35
Earth
Spheroids & Datums• A spheroid can be moved mathematically to
fit different parts of the earth…
FITFit
SpheroidNow we have 2 different datums
36
So what?• The spatial properties of a GIS data
layer specify both the projection or Coordinate system and the Datum
• Different datums will cause shifts in location of the order of 100 meters
• Not big but troublesome
• In ArcGIS on-the-fly projection takes care of both projection and datum
37
Some Datums
• These are the common datums• For Coordinate Systems the spatial
properties are given in statements like…
NAD 27 NAD 83 WGS 84
NAD_27_UTM _ZONE_18N
NAD_83_SPC _ZONE_4826
38
Summary
• There are a variety of spatial data types• Spherical Geographic Coordinate
Systems are based on Spheroids • Spherical data is projected onto 2D
maps• There are many Projections• More commonly, you will run into the
class of Projections called Coordinate Systems (UTM, SP)
• Projected data is based on a datum and data in different datums will not (usually) line up!
39
Summary
• The subject of projections and datums is the most confusing and complex area of using GIS.
• Take good notes and do your best to understand it.
• At GIS conferences sessions on this topic are always very crowded! That tells you something!