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Before jumping into the installation process, let's discuss geographic information systems (GIS) a little bit. GIS is a system for collecting, manipulating, managing, visualizing, analyzing, and publishing spatial data. Although these functionalities can be bundled in a single software, by definition, GIS is not a software, it is rather a set of functionalities. It can help you to make better decisions, and to get more in-depth results from data based on their spatial relationships.

The most important part of the former definition is spatial data. GIS handles data based on their locations in a coordinate reference system. This means, despite GIS mainly being used for handling and processing geographical data (data that can be mapped to the surface of Earth), it can be used for anything with dimensions. For example, a fictional land like Middle-Earth, the Milky Way, the surface of Mars, the human body, or a single atom. The possibilities are endless; however, for most of them, there are specialized tools that are more feasible to use.

The functionalities of a GIS outline the required capabilities of a GIS expert. Experts need to be able to collect data either by surveying, accessing an other's measurements, or digitizing paper maps, just to mention a few methods. Collecting data is only the first step. Experts need to know how to manage this data. This functionality assumes knowledge not only in spatial data formats but also in database management. Some of the data just cannot fit into a single file. There can be various reasons behind this; for example, the data size or the need for more sophisticated reading and writing operations. Experts also need to visualize, manipulate, and analyze this data. This is the part where GIS clients come in, as they have the capabilities to render, edit, and process datasets. Finally, experts need to be able to create visualizations from the results in order to show them, verify decisions, or just help people interpreting spatial patterns. This phase was traditionally done via paper maps and digital maps, but nowadays, web mapping is also a very popular means of publishing data.

From these capabilities, we will learn how to access data from freely available data sources, store and manage them in a database, visualize and analyze them with a GIS client, and publish them on the Web.

Key benefits

This easy-to-follow guide allows you to manage and analyze geographic data with ease using open source tools

Publish your geographical data online

Learn the basics of geoinformatics in a practical way by solving problems

Description

The most commonly used GIS tools automate tasks that were historically done manually—compiling new maps by overlaying one on top of the other or physically cutting maps into pieces representing specific study areas, changing their projection, and getting meaningful results from the various layers by applying mathematical functions and operations. This book is an easy-to-follow guide to use the most matured open source GIS tools for these tasks. We’ll start by setting up the environment for the tools we use in the book. Then you will learn how to work with QGIS in order to generate useful spatial data. You will get to know the basics of queries, data management, and geoprocessing. After that, you will start to practice your knowledge on real-world examples. We will solve various types of geospatial analyses with various methods. We will start with basic GIS problems by imitating the work of an enthusiastic real estate agent, and continue with more advanced, but typical tasks by solving a decision problem. Finally, you will find out how to publish your data (and results) on the web. We will publish our data with QGIS Server and GeoServer, and create a basic web map with the API of the lightweight Leaflet web mapping library.

What you will learn

Collect GIS data for your needs

Store the data in a PostGIS database

Exploit the data using the power of the GIS queries

Analyze the data with basic and more advanced GIS tools

Publish your data and share it with others

Build a web map with your published data

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