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

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Acknowledgements I would like to thank all people for helping me in this work and also for those who gave me advice and ideas when i faced problems. Especially, i would like to thank my promoter Esteban Zimányi for the help, support and responsibility of which he has shown throughout the year. I also would like to thank Alejandro Vaisman, who worked with me from start to finish. The last thanks will go to my family, for allowing me to study, to progress and realize my own mistakes. i
Abstract Nowadays, in many application domains, complex analysis tasks often require to take geographical information into account. However, there are very few attempts to support continuous fields, a phenomena that are perceived as having a value at each point in space and/or time. Examples of such phenomena include temperature, altitude or land use. This thesis is intended to introduce PostGIS Raster, a new raster data type supporting continuous fields in PostgreSQL database. Later, based on this primitive data type, a new composite type is build, along with a set of functions to take into account the temporal aspect. Finally, an application that allows user to exploit the temporal feature of such raster data is also provided. ii
Page 1: Faculté de Sciences Appliquées Se
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 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 "
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Figure 4.30: Pyramids at different
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ectangular because there might be s
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Figure 4.39: Vector to raster conve
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Figure 4.42: Web application with o
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In this example, the dummy_rast tab
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One approach to make this intersect
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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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PostGIS Raster : Extending PostgreSQL for The Support of ... - CoDE

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