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

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Figure 5.8: Gird of cells of USA map [23]. • PostGIS provides several storage solutions for applications whether they are read-only applications (storing out-database raster) or editing and analysis applications (storing in-database raster). With out-database raster, image files (JPEGs) can be stored as they are in any GDAL format. So it speeds up geoprocessing (a GIS operation used to manipulate spatial data) by providing direct access for web applications. The traditional in-database raster, that stores raster data as a grid of pixel values, is intended for analysis operations that require working on pixel values. Obviously, execution time of these operations are faster than ones executed on out-database rasters since there is no need to extract the pixel values from an image file (such as JPEG, TIFF and etc). Lightweight Multi-users As all geoprocessing is done in the database, these processes thus are kept close to the data where the data should be (in a database). Hence, desktop and web GIS applications become simple SQL query builders and data viewers. Figure 5.9: Web GIS application [23]. 71
Chapter 6 Application Most of GIS applications often relate to the history of changes of phenomena like temperature, precipitation and etc. This section intends to introduce a novice application that shows the evolution in time of a set of temporal raster data, where each temporal raster is a matrix of values of points in space at a time instant. Each temporal raster can also be referred as a map, hence the evolution is considered as a sort of movie-map. The application is built on Quantum Geographic Information System (QGIS). So, the first part of this section will introduce QGIS and its application. The second part focuses on the time application. 6.1 Quantum GIS Quantum GIS (QGIS) is a Geographic Information System application that provides geographical data viewing, editing and analysis capabilities using graphical interface. QGIS is cross platform and runs on Linux, Unix,Mac OS X and Windows. By using GDAL, GRASS GIS, PostGIS and PostgreSQL as extensions, QGIS provides access to various vector, raster formats and works on multiple databases. QGIS is written in C++ and allows integration of user plugins developed using either C++ or Python. 6.1.1 Advantages There are several reasons that make QGIS become one of the tools used in most GIS and preferred than other GIS applications [20]: • Quantum GIS is open-source. • It offers a similar interface as market software like ArcGIS or SuperGIS. • It can view, edit and create a wide variety of vector formats ( Shp, vectors Grass, PostgreSQL / PostGIS and etc.) • Its software that evolves and improves continuously through custom plugins (Python or C++). • It allows interoperability with external databases (such as PostGIS,MapServer and etc.). • It is available in multi-language and has a large volunteer community. • Its capability to run with additional tools (Openstreetmap, Google Maps and etc.). • It connects with external sources of data (WFS and WMS servers). • The graphical interface of QGIS is much cleaner and faster than one of GRASS GIS. • Its possibility of using Quantum GIS as a graphical interface GRASS GIS through a plug-in. • Quantum GIS requires a small memory space. 72
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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
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2.2.3 Imagery Figure 2.3: Polygon f
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Figure 2.8: Surface expressed by co
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4-foot logo. The file size is the s
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2.4.2 Data Theme Figure 2.14: Multi
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measures of latitude. Longitude mea
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2.6 GIS Applications 2.6.1 Crime Ma
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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
Page 67 and 68: Figure 4.51: Raster and raster inte
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: FROM buff_temp GROUP BY id ORDER BY
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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PostGIS Raster : Extending PostgreSQL for The Support of ... - CoDE

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