Applying OLAP Pre-Aggregation Techniques to ... - Jacobs University

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42 3. Fundamental Geo-Raster Operations (a) Grey 8-bit raster A (b) Grey 8-bit raster B (c) Output raster image Figure 3.3. Cells of Rasters A and B with Equal Values Reclassification Reclassification is a generalization technique used to re-assign cell values in classified rasters. For example consider the query below where reclassification is based on a land suitability study. Query 3.2.4. Given an 8-bit gray image A, map each cell value to its corresponding suitability class shown in Table 3.2 1 , and decrease the contrast of the image according to the decreasing factor. The query can be answered as follows: MARRAY sdom(A),g (((A[g] > 180) ∗ A[g]/2) + Results are shown in Fig. 3.4. (((A[g] ≥ 130)and(A[g] < 180)) ∗ A[g]/3) + (((A[g] ≥ 80)and(A[g] < 130)) ∗ A[g]/4) + ((A[g] < 80) ∗ A[g]/5)) 1 Classification taken from http://www.fao.org/docrep/X5310E/X5310E00.htm
3.2 Geo-Raster Operations 43 Table 3.1. UNO and FAO Suitability Classifications Classification Description S1 Highly suitable S2 Moderately suitable S3 Marginally suitable NS Not suitable Table 3.2. Capability Indexes for Different Capability Classes Capability index Class Suitability class Decrease factor >180 I S1 2 130-180 II S2 3 80-130 III S3 4 < 80 IV NS 5 (a) Original raster (b) Output raster Figure 3.4. Re-Classification of the Cell Values of a Raster Image
Page 1: Applying OLAP Pre-Aggregation Techn
Page 5 and 6: Acknowledgments I would like to exp
Page 7 and 8: Abstract Large multidimensional arr
Page 9 and 10: Contents 1 Introduction and Problem
Page 11 and 12: List of Figures 2.1 3D Array . . .
Page 13 and 14: List of Tables 3.1 UNO and FAO Suit
Page 15 and 16: Chapter 1 Introduction and Problem
Page 17 and 18: Relevant and complementary question
Page 19 and 20: 1.2 Publications Related to this Th
Page 21 and 22: Chapter 2 Background and Related Wo
Page 23 and 24: 2.1 Array Databases 17 Figure 2.2 s
Page 25 and 26: 2.1 Array Databases 19 toward the s
Page 27 and 28: 2.1 Array Databases 21 • Bilinear
Page 29 and 30: 2.1 Array Databases 23 given image
Page 31 and 32: 2.2 On-Line Analytical Processing (
Page 39 and 40: 2.3 Discussion 33 spatial-vector da
Page 41 and 42: 2.3 Discussion 35 • Both applicat
Page 43 and 44: Chapter 3 Fundamental Geo-Raster Op
Page 45 and 46: 3.2 Geo-Raster Operations 39 3.1.2
Page 47: 3.2 Geo-Raster Operations 41 multip
Page 51 and 52: 3.2 Geo-Raster Operations 45 turn i
Page 53 and 54: 3.2 Geo-Raster Operations 47 (a) Or
Page 55 and 56: 3.2 Geo-Raster Operations 49 Query
Page 57 and 58: 3.2 Geo-Raster Operations 51 contai
Page 59 and 60: 3.2 Geo-Raster Operations 53 is the
Page 61 and 62: 3.2 Geo-Raster Operations 55 3.2.4
Page 63 and 64: 3.2 Geo-Raster Operations 57 As in
Page 65 and 66: 3.2 Geo-Raster Operations 59 Local
Page 67 and 68: 3.3 Summary 61 Slicing The slicing
Page 69 and 70: Chapter 4 Answering Basic Aggregate
Page 71 and 72: 4.1 Framework 65 pre-aggregated res
Page 73 and 74: 4.2 Cost Model 67 By partitioning t
Page 75 and 76: 4.2 Cost Model 69 Cost of independe
Page 77 and 78: 4.3 Implementation 71 Algorithm 1 Q
Page 79 and 80: 4.4 Experimental Results 73 Query E
Page 81 and 82: 4.5 Summary 75 pre-aggregates: inde
Page 83 and 84: Chapter 5 Pre-Aggregation Support B
Page 85 and 86: 5.2 Conceptual Framework 79 Figure
Page 87 and 88: 5.2 Conceptual Framework 81 Benefit
Page 89 and 90: 5.4 Answering Scaling Operations Us
Page 91 and 92: 5.5 Experimental Results 85 Algorit
Page 93 and 94: 5.5 Experimental Results 87 (a) Que
Page 95 and 96: 5.5 Experimental Results 89 (a) Sel
Page 97 and 98: 5.5 Experimental Results 91 vectors
Page 99 and 100:
5.5 Experimental Results 93 root no
Page 101 and 102:
5.5 Experimental Results 95 Figure
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
5.6 Summary 101 we considered non-u
Page 109 and 110:
Chapter 6 Conclusion One of the big
Page 111 and 112:
6.1 Future Work 105 more non-spatio
Page 113 and 114:
Bibliography [1] Blakeley J. A., La
Page 115 and 116:
BIBLIOGRAPHY 109 [22] Moon B., Vega
Page 117 and 118:
BIBLIOGRAPHY 111 [47] ESRI Inc. Arc
Page 119 and 120:
BIBLIOGRAPHY 113 [73] Stefanovic N.
Page 121:
BIBLIOGRAPHY 115 [97] Kotidis Y. an
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