lecture 6 raster data. raster layers it’s all cells
TRANSCRIPT
Lecture 6
Raster data
Raster layers It’s all cells
A matrix of cells
Row
Col
um
n
Grid cell 3, 6
Square cells
0 1 2 3 4 5 6 7
Grid origin0, 0
0
1
2
3
4
5
6
7
From Clarke
Resolution (cell size) ½ cell size = 2x
the space
Cell values Each cell has a value: Integer, real number, or NoData Cells can store raw numbers (elevation, temperature, slope)
1200 1130 1000 990 430
Or index values 1 = water 2 = land 3 = road 4 = building
1 1 1 1 1 4 4 4
1 2 1 2 2 4 4 4
1 1 1 3 3 3 3 3
1 1 2 2 2 2 2 3
2 2 1 2 2 2 2 3
4 4 2 1 2 2 2 3
8 4 3 2 1 1 2 3
3 3 3 2 2 2 1 1From Clarke
Categories of raster data Continuous
Elevation Rainfall
Discrete Landuse Tree type
Imagery Air photo Sateilte
Land
Water
Bridge
The mixed pixel problem
W GW
W W G
W W G
W GG
W W G
W G G
W GE
W E G
E E G
Water dominates Winner takes all Edges separate
From Clarke
Raster to vector conversion
Vector… to raster… back to vector
How can you improve these results?
From Clarke
Raster overlay Cells from multiple layers Same location Like a shish kabob Write equations with maps as variables – map algebra
Value in layer 1+ Value in layer 2+ Value in layer 3+ Value in layer 4
Rainfall 1998 10Rainfall 1999 21Rainfall 2000 9Rainfall 2001 11 equals 51
Use math operations +, -, \, and * Cells overlap each other Math performed on overlapping cells
More or less rainfall?7-4=3
Map algebra
7 9
49
6
4
1
2 5 8
4 8
94
3 3 6
6511
31
5
1
4 3
56
2
4
1
4 4 3
4 5
11
0 1 1
0005
47
2
5
3 6
-13
4
0
0
-2 1 5
0 3
83
3 2 5
-6-51-4
-1-6
3
-4
- =
Rain 1999 Rain 2000 Rain difference
Logical operations (and, or) Cells overlap each other Fast math – It’s all Zeros and ones 1- good, 0 - bad
Find best Ski areas
Map algebra
1 1
11
1
1
1
0 0 0
0 0
00
0 0 0
0000
00
0
0
0 0
10
1
0
1
0 0 0
1 1
11
0 1 1
0000
00
0
0
0 0
10
1
0
1
0 0 0
0 0
00
0 0 0
0000
00
0
0
AND =
Slope > 15% No trees
Multiple rasters and transparency
Metadata
Data about data Date information Who made it Location Scale Intended use Storage formats
FGDC FAQ ISO XML
TIN: Triangulated Irregular Network
3D vector data Triangles More efficient than a
grid
Elevations with TIN
3D Visualization
3D Visualization
World view – zoom to Mt Everest
Raster data exercise