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

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2.2.4 Surfaces Figure 2.6: Multiband raster data [27]. A surface describes a phenomenon that has a value for each point in space. For example, surface elevation is a continuous area such that every spatial location has a value for ground elevation above sea level. Other examples include surface rainfall, surface pollution concentration and etc. The major problem in surface representation is that it is impossible to represent all values for all locations of a area. Various alternatives exist for representing such surfaces using either features or rasters. Here are some alternative solutions for surface representation: Contour Lines Contour lines: Isolines represent a set of points having an equal value, such as elevation contours. Contour Bands Figure 2.7: Surface expressed by contour lines [27]. Contour bands: Each band describes a specified range of values. An area, where each point value within it belong to a band, will be represented by a corresponding color. Example of such band consists of all average annual rainfall between 25 cm and 50 cm per year. Raster Data Raster data: A matrix of cells where each cell value represents a measure of each point in space. For example, digital elevation models (DEMs) represented by grids of squares, are frequently used to describe surface elevation. Triangulated Irregular Network A triangulated irregular network (TIN): A data structure represents surfaces as a connected network of triangles. Each triangle node has x,y coordinates and a surface value z. The raster and TIN representations can be used to estimate the surface value for any location using interpolation. 7
Figure 2.8: Surface expressed by contour bands [27]. Figure 2.9: Surface expressed by raster data [27]. Figure 2.10: Surface expressed by TIN layers [27]. 8
Page 1 and 2: Faculté de Sciences Appliquées Se
Page 3 and 4: Abstract Nowadays, in many applicat
Page 5 and 6: 3.2.4 Overlapping Raster and Vector
Page 7 and 8: D.5 Geology, Geophysics and Geochem
Page 9 and 10: 4.9 Raster cell [16]. . . . . . . .
Page 11 and 12: Chapter 1 Introduction 1.1 Context
Page 13 and 14: Chapter 2 Geographic Information Sy
Page 15: 2.2.3 Imagery Figure 2.3: Polygon f
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 and 66: 4.19 Intersection The fact that Pos
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Figure 4.51: Raster and raster inte
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ST_Present and ST_Passes predicates
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Chapter 5 User Guide Sometimes stor
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SELECT rast As origin, ST_Resample(
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• gvSIG plugin • MapServer thro
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SELECT ST_AsJPEG(rast) As rastjpg F
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FROM buff_temp GROUP BY id ORDER BY
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Chapter 6 Application Most of GIS a
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6.2 Tools Figure 6.3: PostGIS conne
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Figure 6.6: Band area. controlled b
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Figure 6.10: The loading map parall
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Figure 6.14: Maps representing worl
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Figure 6.17: Maps with a color lege
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their levels of awareness of geogra
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[15] Jorge Arevalo. PostGIS Raster
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Appendix A PostGIS Raster Utilisati
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eturn "Version 0.1" def qgisMinimum
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Appendix C Code Implementation C.1
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name="" # Setting table name and mo
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Figure D.1: Synthetic aperture rada
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D.4 Digital Image Processing D.4.1
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Figure D.4: Age of the sea floor. M
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Appendix F Continuous Surfaces One
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