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 additional thematics

The core of a thematic map is surprisingly always its thematics. We can classify our maps based on the most important, most emphasized thematic (for example, we will end up with a road map), but it does not exclude adding more thematics for various cases. We can fill our map if it is too empty, or help the readers by adding more context. In this example, we replace our Landsat imagery by some thematics from the OpenStreetMap dataset. We will visualize land use types, rivers, and water bodies on our map. As we went through styling vector layers quite thoroughly before, we will only discuss the main guidelines to achieve nice results.

First of all, let's disable our Landsat layer, and enable the layers mentioned before. The first layer we will style is land use, as it will give the most context to the map. If we apply a categorized styling on that layer based on the fclass column, we can see similar results in the roads layer. There are many classes, most of them containing details, which are superfluous for this scale. To get rid of the unnecessary parts, and focus only on the important land use types, let's apply a rule-based styling:

  • Forest: Only the forest category with a dark green color
  • Agriculture and grassland: The farm, grass, meadow, vineyard, and allotments categories can go here with a light green color
  • Residential: The residential category, visualized with a light orange color
  • Industrial: The industrial and quarry categories, with a light grey color

As the default black outline would draw too much attention and distract readers, let's apply a 0 mm, No Pen outline style to every category. We can access the outline preferences by clicking on the Simple Fill child style element.

If you have additional categories taking up large map space, you can create additional rules, or just fit them into the most appropriate one from the aforementioned.

Now we will do a very cool thing. The water bodies layer not only stores lakes and other still water, but also larger rivers in a polygon format. We will not only show these lakes and rivers along with the linear river features, but also label them, making the labels run in the polygons of larger rivers. For this, let's place the river layer on top of the water bodies, and give them the same light blue color.

Next, navigate to the Labels tab of our rivers layer, and select Rule-based labeling. We apply only one rule, which only labels rivers, as we wouldn't like to load the map with labels of smaller waterways. We can build such an expression similarly to the other OSM layers as follows:

    "fclass" = 'river' 

In the Placement menu, we define the labels to run on a Curved path along the linear features. The only allowed position should be On line, therefore, we uncheck Above line after checking it in. Finally, in the Text menu, we specify the text color to be a darker shade of blue in order to make it go nicely with the rivers' color. I also specified another font, which enabled a Bold typeset.

As the linear features of the rivers run exactly in the middle of the outlines (in the streamline), our labels are run exactly in the middle of the polygons, along the streamlines, which looks really nice and professional:

It can give a nice touch to the map if we delimit our study area. We can do so by applying an Outline: Simple line style instead of the Simple Fill one. I left that one with a black color, but increased the line width, and applied a dashed Pen Style to it. You can get the same result by leaving the Simple Fill style, and specifying No Brush for Fill style.

It's time to add one final piece to our map--topography. For this task, we will need our elevation layers. If we open them all at once, we can see that they have a little overlap, making some linear artifacts. To get rid of these disturbing lines, and to get a more manageable elevation layer at once, we first create a virtual raster from the elevation datasets. Similar to the Landsat imagery, we open Raster | Miscellaneous | Build Virtual Raster from the menu bar. We browse and select every SRTM raster, then select a destination file. We do not have to check anything else, as we would like to create a seamless mosaic from the input rasters, not store them in different bands. We just select a destination folder, and name our new layer. Don't forget to append the vrt extension manually to the file name.

The next step is to pull the new srtm layer strictly above the landuse layer. We are going to style it in a new way to show elevation with shading. Let's open its Style menu, and select the Hillshade option. It will create a shaded relief based on the provided altitude and azimuth values. Those values determine the Sun's location relative to the surface. The default values are generally good for a simple visualization. Finally, let's alter the Blending mode parameter. This parameter defines how our layer are blended with the layers underneath. If we choose Overlay, it blends the shading to the colored parts of our landuse layer, and leaves the white parts. We can also reduce the layer's transparency in the Transparency tab to make the colors less vibrant, and more like the original values:

The order of the layers is important. Blending only applies to the layer it is defined on, and only takes the layers which are underneath into account. That is why we should make the landuse layer our bottom layer in this case, put the srtm strictly on its top, and put everything else on top of them. This way, the topography won't blend into the other thematics. Don't hesitate to try out the other blending modes and find out what they can do!