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Practical GIS

Practical GIS

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Practical GIS

Practical GIS

Overview of this book

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.
Table of Contents (15 chapters)
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1
Appendix

Using digital elevation models

The third preference of both the customers are quite special ones, which cannot be incorporated into our model with mere vector analysis tools. One of the requirements is that solar panels can be used on the house efficiently. Of course, there are numerous factors to consider, like the exposure of the roof. However, the simplest feature such a house should have is the aspect of the land it is built on. If we are in the northern hemisphere, the terrain with northern aspect is mostly in shadow. In the southern hemisphere, the land with southern aspect is more shadowy. In reality, there are a lot more factors contributing to the solar energy potential (like latitude, climate, cast shadow, and so on), but for the sake of simplicity, let's just assume for now that the only factor is the aspect of the surface.

For solving surface-related problems...

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Practical GIS
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