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Practical GIS

You're reading from   Practical GIS Learn novice to advanced topics such as QGIS, Spatial data analysis, and more

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787123328
Length 428 pages
Edition 1st Edition
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Author (1):
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G√°bor Farkas G√°bor Farkas
Author Profile Icon G√°bor Farkas
G√°bor Farkas
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Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Environment FREE CHAPTER 2. Accessing GIS Data With QGIS 3. Using Vector Data Effectively 4. Creating Digital Maps 5. Exporting Your Data 6. Feeding a PostGIS Database 7. A PostGIS Overview 8. Spatial Analysis in QGIS 9. Spatial Analysis on Steroids - Using PostGIS 10. A Typical GIS Problem 11. Showcasing Your Data 12. Styling Your Data in GeoServer 13. Creating a Web Map Appendix

What this book covers

Chapter 1, Setting Up Your Environment, guides you through the basic steps of creating an open source software infrastructure you can carry out your analyses with. It also introduces you to popular open data sources you can freely use in your workflow.

Chapter 2, Accessing GIS Data with QGIS, teaches you about the basic data models used in GIS. It discusses the peculiarities of these data models in detail, and also makes you familiar with the GUI of QGIS by browsing through some data.

Chapter 3, Using Vector Data Effectively, shows you how you can interact with vector data in the GIS software. It discusses GUI-based queries, SQL-based queries, and basic attribute data management. You will get accommodated to the vector data model and can use the attributes associated to the vector features in various ways.

Chapter 4, Creating Digital Maps, discusses the basics of digital map making by going through an exhaustive yet simple example in QGIS. It introduces you to the concept of projections and spatial reference systems, and the various steps of creating a digital map.

Chapter 5, Exporting Your Data, guides you through the most widely used vector and raster data formats in GIS. It discusses the strengths and weaknesses of the various formats, and also gives you some insight on under what circumstances you should choose a particular spatial data format.

Chapter 6, Feeding a PostGIS Database, guides you through the process of making a spatial database with PostGIS. It discusses how to create a new database, and how to fill it with various kinds of spatial data using QGIS. You will also learn how to manage existing PostGIS tables from QGIS.

Chapter 7, A PostGIS Overview, shows what other options you have with your PostGIS database. It leaves QGIS and talks about important PostgreSQL and PostGIS concepts by managing the database created in the previous chapter through PostgreSQL's administration software, pgAdmin.

Chapter 8, Spatial Analysis in QGIS, goes back to QGIS in order to discuss vector data analysis and spatial modeling. It shows you how different geometry types can be used to get some meaningful results based on the features' spatial relationship. It goes through the practical textbook example of delimiting houses based on some customer preferences.

Chapter 9, Spatial Analysis on Steroids - Using PostGIS, reiterates the example of the previous chapter, but entirely in PostGIS. It shows how a good software choice for the given task can enhance productivity by minimizing manual labor and automating the entire workflow. It also introduces you to the world of PostGIS spatial functions by going through the analysis again.

Chapter 10, A Typical GIS Problem, shows raster analysis, where spatial databases do not excel. It discusses typical raster operations by going through a decision making process. It sheds light on typical considerations related to the raster data model during an analysis, while also introducing some powerful tools and valuable methodology required to make a good decision based on spatial factors and constraints.

Chapter 11, Showcasing Your Data, goes on to the Web stack, and discusses the basics of the Web, the client-server architecture, and spatial servers. It goes into details on how to use the QGIS Server to create quick visualizations, and how to use GeoServer to build a powerful spatial server with great capabilities.

Chapter 12, Styling Your Data in GeoServer, discusses the basic vector and raster symbology usable in GeoServer. It goes through the styling process by using traditional SLD documents. When the concepts are clear, it introduces the powerful and convenient GeoServer CSS, which is also based on SLD.

Chapter 13, Creating a Web Map, jumps to the client side of the Web and shows you how to create simple web maps using the server architecture created before, and the lightweight web mapping library--Leaflet. It guides you through the process of creating a basic web map, ranging from creating an HTML document to scripting it with JavaScript.

Appendix shows additional information and interesting use cases of the learned material through images and short descriptions.

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