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

Understanding the client side of the Web

In Chapter 11Showcasing Your Data, we discussed how data is transferred over the Web and how servers work. In order to have a better understanding of the Web, let's discuss how web clients interpret server responses in more detail. As we already know, servers either store web content in a static format, or they generate it on the fly with CGI scripts or other web applications. We also know that these contents are usually plain text, structured text, or media files. The most common content a web client has to interpret is in structured text format, containing elements we would like to show, styles we would like to apply to our elements, and scripts we would like to run on the client side:

  • HTML: Hypertext Markup Language is the standardized form of transferring visual elements from web servers to web clients. They are XML-based documents that describe each visual element between tags. Although HTML is XML-based, a valid HTML document is not necessarily a valid XML document. For example, the HTML standard does not make self-closing single tags mandatory. If we write <br> in a HTML document, it is a valid HTML; however, we have to write <br/> to get a valid HTML and XML document.
  • CSS: Cascading Style Sheets is the standardized way to describe the custom styling of HTML elements. Every web client has a default set of styling options that are applied to HTML elements with no custom styles. If the web client gets custom rules in the form of CSS declaration blocks, it overrides the default styling with them.
  • JavaScript: We can also use custom scripts written in JavaScript in order to send executable code to the client. The client interprets and runs the code contained in the JavaScript file, enhancing the user experience by making the web page more dynamic. It is very useful to automate smaller tasks without wasting the server's resources. For example, interactive web maps are created with web mapping libraries. Web mapping libraries are essentially collections of JavaScript functions creating interactive maps based on some parameters we provide.

What happens to these documents in the web client? First of all, the client sends a request to the destination URL. If we did not provide a resource name and just a path, the request will default to the index.html document in the provided path. Then, if a web server listens on the other side, the communication gets established, and the transaction we discussed earlier occurs. The client receives a response, which is some kind of resource (most often an HTML document). If the HTML document contains links to other resources (for example, stylesheets, scripts, and media elements), the client requests these items individually and interprets their content. If a stylesheet is requested, the client applies the styles found in there, while if a script is requested, it parses and executes it.

Modern web browsers are smart. They try to get the most out of the received data. For example, they can open raw PDF  or media files and automatically generate a DOM model when there is a raw file in a recognized format on the other side of the connection.

Let's assume the resource is an HTML document. The client parses the elements written in HTML and creates an object model from it, called a DOM (Document Object Model). The DOM is the object-oriented representation of the HTML document using a tree structure. Every element is an object, with the various attributes the element can hold. We can interact with the DOM, query, modify, insert, and remove individual elements in it. Of course, we need a way to interact with the DOM. As web clients expose their DOM trees through their JavaScript interfaces, we can manipulate DOM elements through JavaScript. For example we can query input values and act accordingly. To make this interaction more convenient, the JavaScript DOM API comes with a built-in event model, that is, we can register event listeners on DOM elements, and the registered functions get executed automatically every time the event occurs.