PostGIS Raster : Extending PostgreSQL for The Support of ... - CoDE

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Figure 4.48: Raster intersection paradigm [22]. Figure 4.49: Vector and raster intersection with a resulting raster layer [22]. sounds very useful because it helps PostGIS to vectorize only what is needed to do the requested operation. As the intersection(vector,vector) → vector operation, the final result is a set of geometrypixel value pairs representing the shared portion of the geometric and the vectorization of the raster (see Figure 4.50). Figure 4.50: Vector and raster intersection with a resulting vector layer [22]. Example 1.4: A raster and raster intersection with a raster layer as a result. In the case of raster-raster intersection, the result is stored in a multiband raster. The extent of the resulting raster corresponds to the geometrical intersection of the two raster extents. Nodata area presenting in any band will result in nodata area in every band of the result. In other words, any pixel intersecting with a nodata value pixel becomes a nodata value pixel in the result. To obtain a result similar to the Intersection(vector/vector) → vector operation, the resulting raster must be vectorized and moreover, this vectorization must take into account multiband. Different possible scenarios will be one more time examined in the following part but in the case of mutual exclusive polygons. Example 2.1: A vector and vector intersection with a vector layer as a result. Here, in Figure 4.52, the result is trivial. Example 2.2: A vector and raster intersection with a raster layer as a result. As in the previous case, the intersection operation results in different disjoint rasters, along with additional attributes that come from input vectors (Figure 4.53). To obtain a result similar to the intersection(vector,vector) → vector operation, the resulting rasters must be vectorized. Example 2.3: A vector and raster intersection with a vector layer as a result. 57
Figure 4.51: Raster and raster intersection with a resulting vector layer [22]. Figure 4.52: Mutual exclusive polygons intersection with a resulting vector layer [22]. Figure 4.53: Mutual exclusive vector-raster intersection with a resulting raster layer [22]. Figure 4.54: Mutual exclusive vector-raster intersection with a resulting vector layer [22]. 58
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Faculté de Sciences Appliquées Se
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Abstract Nowadays, in many applicat
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3.2.4 Overlapping Raster and Vector
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D.5 Geology, Geophysics and Geochem
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4.9 Raster cell [16]. . . . . . . .
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Chapter 1 Introduction 1.1 Context
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Chapter 2 Geographic Information Sy
Page 15 and 16: 2.2.3 Imagery Figure 2.3: Polygon f
Page 17 and 18: Figure 2.8: Surface expressed by co
Page 19 and 20: 4-foot logo. The file size is the s
Page 21 and 22: 2.4.2 Data Theme Figure 2.14: Multi
Page 23 and 24: measures of latitude. Longitude mea
Page 25 and 26: 2.6 GIS Applications 2.6.1 Crime Ma
Page 27 and 28: 2.6.3 Traditional Knowledge GIS Tra
Page 29 and 30: These additional functionalities ma
Page 31 and 32: Figure 3.3: Physical storage of Geo
Page 33 and 34: DROP INDEX spain_images_idx; CREATE
Page 35 and 36: In summary, the intersection is muc
Page 37 and 38: Attribute information Table 4.1: Po
Page 39 and 40: Figure 4.2: Information representat
Page 41 and 42: for discrete data while floating-po
Page 43 and 44: the matrix are parallel to the x-ax
Page 45 and 46: Lines Figure 4.15: Raster point rep
Page 47 and 48: Choosing an appropriate cell size i
Page 49 and 50: The multi-band conception is result
Page 51 and 52: "32BUI" = 32-bit unsigned integer "
Page 53 and 54: Figure 4.30: Pyramids at different
Page 55 and 56: ectangular because there might be s
Page 57 and 58: Figure 4.39: Vector to raster conve
Page 59 and 60: Figure 4.42: Web application with o
Page 61 and 62: In this example, the dummy_rast tab
Page 63 and 64: One approach to make this intersect
Page 65: 4.19 Intersection The fact that Pos
Page 69 and 70: ST_Present and ST_Passes predicates
Page 71 and 72: Chapter 5 User Guide Sometimes stor
Page 73 and 74: SELECT rast As origin, ST_Resample(
Page 75 and 76: • gvSIG plugin • MapServer thro
Page 77 and 78: SELECT ST_AsJPEG(rast) As rastjpg F
Page 79 and 80: FROM buff_temp GROUP BY id ORDER BY
Page 81 and 82: Chapter 6 Application Most of GIS a
Page 83 and 84: 6.2 Tools Figure 6.3: PostGIS conne
Page 85 and 86: Figure 6.6: Band area. controlled b
Page 87 and 88: Figure 6.10: The loading map parall
Page 89 and 90: Figure 6.14: Maps representing worl
Page 91 and 92: Figure 6.17: Maps with a color lege
Page 93 and 94: their levels of awareness of geogra
Page 95 and 96: [15] Jorge Arevalo. PostGIS Raster
Page 97 and 98: Appendix A PostGIS Raster Utilisati
Page 99 and 100: eturn "Version 0.1" def qgisMinimum
Page 101 and 102: Appendix C Code Implementation C.1
Page 103 and 104: name="" # Setting table name and mo
Page 105 and 106: Figure D.1: Synthetic aperture rada
Page 107 and 108: D.4 Digital Image Processing D.4.1
Page 109 and 110: Figure D.4: Age of the sea floor. M
Page 111 and 112: Appendix F Continuous Surfaces One
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