Table of Contents for
Practical GIS

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Practical GIS by Gábor Farkas Published by Packt Publishing, 2017
  1. Practical GIS
  2. Title Page
  3. Copyright
  4. Credits
  5. About the Author
  6. About the Reviewer
  7. www.PacktPub.com
  8. Customer Feedback
  9. Dedication
  10. Table of Contents
  11. Preface
  12. What this book covers
  13. What you need for this book
  14. Who this book is for
  15. Conventions
  16. Reader feedback
  17. Customer support
  18. Downloading the example code
  19. Downloading the color images of this book
  20. Errata
  21. Piracy
  22. Questions
  23. Setting Up Your Environment
  24. Understanding GIS
  25. Setting up the tools
  26. Installing on Linux
  27. Installing on Windows
  28. Installing on macOS
  29. Getting familiar with the software
  30. About the software licenses
  31. Collecting some data
  32. Getting basic data
  33. Licenses
  34. Accessing satellite data
  35. Active remote sensing
  36. Passive remote sensing
  37. Licenses
  38. Using OpenStreetMap
  39. OpenStreetMap license
  40. Summary
  41. Accessing GIS Data With QGIS
  42. Accessing raster data
  43. Raster data model
  44. Rasters are boring
  45. Accessing vector data
  46. Vector data model
  47. Vector topology - the right way
  48. Opening tabular layers
  49. Understanding map scales
  50. Summary
  51. Using Vector Data Effectively
  52. Using the attribute table
  53. SQL in GIS
  54. Selecting features in QGIS
  55. Preparing our data
  56. Writing basic queries
  57. Filtering layers
  58. Spatial querying
  59. Writing advanced queries
  60. Modifying the attribute table
  61. Removing columns
  62. Joining tables
  63. Spatial joins
  64. Adding attribute data
  65. Understanding data providers
  66. Summary
  67. Creating Digital Maps
  68. Styling our data
  69. Styling raster data
  70. Styling vector data
  71. Mapping with categories
  72. Graduated mapping
  73. Understanding projections
  74. Plate Carrée - a simple example
  75. Going local with NAD83 / Conus Albers
  76. Choosing the right projection
  77. Preparing a map
  78. Rule-based styling
  79. Adding labels
  80. Creating additional thematics
  81. Creating a map
  82. Adding cartographic elements
  83. Summary
  84. Exporting Your Data
  85. Creating a printable map
  86. Clipping features
  87. Creating a background
  88. Removing dangling segments
  89. Exporting the map
  90. A good way for post-processing - SVG
  91. Sharing raw data
  92. Vector data exchange formats
  93. Shapefile
  94. WKT and WKB
  95. Markup languages
  96. GeoJSON
  97. Raster data exchange formats
  98. GeoTIFF
  99. Clipping rasters
  100. Other raster formats
  101. Summary
  102. Feeding a PostGIS Database
  103. A brief overview of databases
  104. Relational databases
  105. NoSQL databases
  106. Spatial databases
  107. Importing layers into PostGIS
  108. Importing vector data
  109. Spatial indexing
  110. Importing raster data
  111. Visualizing PostGIS layers in QGIS
  112. Basic PostGIS queries
  113. Summary
  114. A PostGIS Overview
  115. Customizing the database
  116. Securing our database
  117. Constraining tables
  118. Saving queries
  119. Optimizing queries
  120. Backing up our data
  121. Creating static backups
  122. Continuous archiving
  123. Summary
  124. Spatial Analysis in QGIS
  125. Preparing the workspace
  126. Laying down the rules
  127. Vector analysis
  128. Proximity analysis
  129. Understanding the overlay tools
  130. Towards some neighborhood analysis
  131. Building your models
  132. Using digital elevation models
  133. Filtering based on aspect
  134. Calculating walking times
  135. Summary
  136. Spatial Analysis on Steroids - Using PostGIS
  137. Delimiting quiet houses
  138. Proximity analysis in PostGIS
  139. Precision problems of buffering
  140. Querying distances effectively
  141. Saving the results
  142. Matching the rest of the criteria
  143. Counting nearby points
  144. Querying rasters
  145. Summary
  146. A Typical GIS Problem
  147. Outlining the problem
  148. Raster analysis
  149. Multi-criteria evaluation
  150. Creating the constraint mask
  151. Using fuzzy techniques in GIS
  152. Proximity analysis with rasters
  153. Fuzzifying crisp data
  154. Aggregating the results
  155. Calculating statistics
  156. Vectorizing suitable areas
  157. Using zonal statistics
  158. Accessing vector statistics
  159. Creating an atlas
  160. Summary
  161. Showcasing Your Data
  162. Spatial data on the web
  163. Understanding the basics of the web
  164. Spatial servers
  165. Using QGIS for publishing
  166. Using GeoServer
  167. General configuration
  168. GeoServer architecture
  169. Adding spatial data
  170. Tiling your maps
  171. Summary
  172. Styling Your Data in GeoServer
  173. Managing styles
  174. Writing SLD styles
  175. Styling vector layers
  176. Styling waters
  177. Styling polygons
  178. Creating labels
  179. Styling raster layers
  180. Using CSS in GeoServer
  181. Styling layers with CSS
  182. Creating complex styles
  183. Styling raster layers
  184. Summary
  185. Creating a Web Map
  186. Understanding the client side of the Web
  187. Creating a web page
  188. Writing HTML code
  189. Styling the elements
  190. Scripting your web page
  191. Creating web maps with Leaflet
  192. Creating a simple map
  193. Compositing layers
  194. Working with Leaflet plugins
  195. Loading raw vector data
  196. Styling vectors in Leaflet
  197. Annotating attributes with popups
  198. Using other projections
  199. Summary
  200. Appendix

Creating static backups

The traditional way of backing up a PostgreSQL database is to create static backups. This method uses the command-line tools pg_dump and pg_restore to create and restore the whole database, or parts of it. Of course, we do not have to use those CLI tools for backing up and restoring, as pgAdmin offers us a way to use of them via its GUI. The main advantage of using static backups is that we can save only parts of the database, like only our spatial data, or just one table. Its main disadvantage, of course, is its static nature. We have to refresh the backups manually if we would like to archive a more recent version of our database.

Let's see what happens if we back up one of our tables. We can do it by right-clicking on the table in pgAdmin and selecting Backup. In the dialog, we have numerous options. The most important is the file format. We can choose between four formats:

  • Plain: The selected objects will be saved as a series of regular SQL expressions. The saved file can be restored by opening the file in an SQL window, and running the query. Choosing this format allows us to read and modify the result if we would like to port our tables to another RDBMS.
  • Custom, Tar, and Directory: These are PostgreSQL-specific formats, which compress the data nicely, and can be used with PostgreSQL's restore tool. The custom format creates a PostgreSQL backup file, the tar format creates an archive, and the directory format creates a directory structure with compressed objects representing PostgreSQL objects.
You can read more about these formats in PostgreSQL's pg_dump manual at https://www.postgresql.org/docs/9.4/static/app-pgdump.html.

To try out the plain format, we should back up our geonames_desc table, as it does not have geometries; therefore, pg_dump will create a nicely readable output.

  1. Right-click on the geonames_desc table, and choose Backup.
  2. Browse the output folder, and choose a name with the sql extension (for example, geonames_desc.sql).
  3. Choose Plain in the Format field.
  4. In the Dump Options #2 tab (Dump options in pgAdmin 4), check the Use Column Inserts box.
  5. Click on the Backup button. When it is done, click on the Done button to close the dialog.

If we open the resulting file in a text or code editor, we can see a very well-structured set of SQL expressions creating the table, the constraints, the sequence, and inserting the data:

What PostgreSQL did not save is the schema that it should restore the table in. On the other hand, if we drop our geonames_desc table, and run the contents of this file in an SQL window, the table gets recreated in the spatial schema. If we inspect the start of the file, the script sets some PostgreSQL-specific variables. From the numerous variables, the following overwrites the search path for the transaction:

    SET search_path = spatial, pg_catalog;

Since, in the search path, the spatial schema is set as first, PostgreSQL will automatically put everything in there.

There are a lot of PostgreSQL-specific expressions in an SQL dump. If you would like to port the tables to another RDBMS, you have to identify, then modify or remove those parts.

We can also create compressed archives. Let's create a backup containing our entire spatial schema as follows:

  1. Right-click on the spatial schema in pgAdmin, and select Backup.
  2. Browse the output folder, and choose a name with the backup extension (for example, spatial.backup).
  3. Choose Custom in the Format field.
  4. Click on the Backup button. When it is done, click on the Done button to close the dialog.

One of the disadvantages of using pg_dump for creating backups is that it saves everything from the dumped objects. If we dump the entire database, it saves every PostGIS object (like functions) along our data. This is another good reason for using a different schema for the actual spatial data, as this way we can back up the relevant data only.

To restore the data dump, we have to specify the place where we would like to extract our archive. If we exported a table, we have to right-click on the schema we would like to insert it into, while, if we dumped a schema, we have to right-click on the database. There we have to select Restore. A great perk of using a compressed archive for a backup is that we can browse through the exported objects, and specify the ones we would like to restore:

  1. Right-click on the database, and click on Restore.
  2. Browse the backup archive created previously.
  1. Click on Display objects, and browse the dumped objects in the Objects tab:
In pgAdmin 4, there is currently no way to inspect an archive and only restore a part of it.