Graphics and Graphic Information Processing |
Contents
topography and cartography | 139 |
52 The base map | 141 |
53 Cartography with one ordered characteristic | 145 |
54 Cartography with several characteristics | 152 |
C THE GRAPHIC SIGN SYSTEM A Semiological Approach to Graphics | 176 |
2 The bases of graphics | 180 |
the plane size and value | 186 |
4 Differential variables | 213 |
24 | |
2 Permutation matrices | 32 |
22 The weighted matrix | 60 |
23 The imagefile | 70 |
24 The matrixfile | 86 |
25 The array of curves | 90 |
3 Ordered tables | 100 |
32 Superimpositions and collections of tables | 123 |
4 Reorderable networks | 129 |
5 The law of visibility | 228 |
6 Summary | 230 |
D THE MATRIX ANALYSIS OF A PROBLEM AND THE CONCEPTION OF A DATA TABLE | 233 |
1 The apportionment table | 235 |
2 The homogeneity schema | 240 |
3 The pertinency table | 245 |
4 Applications of matrix analysis | 251 |
CONCLUSION | 265 |
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Common terms and phrases
absolute quantities answer apportionment table calculate cartography cells circle number classing color column COMECON component corresponding data table decision-making define diagram differential dimensions discover display distribution elementary elements enables entire set example geographical graphic construction graphic processing groups homogeneity schema image-file implantation by point income indicators individuals interpretation Isarithms logarithmic scale matrix analysis matrix construction matrix-file meaningful means necessary number of objects overall perceive percentage perception permutable matrix permutations pertinent pictography plane point of comparison polysemic population problem question ratio reading reclassing reconstitute record reduce regions relationships repartition represent savanna scale scatter plots screen set constructs shape signs simplification steps superimposition surface area Swiss Francs synoptic texture tion topographic townships transcribed transcription types Uruguay useless variation visible visual perception visual variables weighted matrix x y z