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Mastering Geospatial Development with QGIS 3.x: An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python , Third Edition

Islam

Miles

Van Hoesen, GISP

Pirelli

Smith Jr., GISP

Kurt Menke, GISP +2 more

₹800 per month

4 (1 Ratings)

Paperback Mar 2019 466 pages 3rd Edition

Islam

Miles

Van Hoesen, GISP

Pirelli

Smith Jr., GISP

Kurt Menke, GISP +2 more

₹800 per month

4 (1 Ratings)

Paperback Mar 2019 466 pages 3rd Edition

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Key benefits

One-stop solution to all of your GIS needs Master QGIS by learning about database integration, and geoprocessing tools Learn about the new and updated Processing toolbox and perform spatial analysis

Description

QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work.

Who is this book for?

This book is for users who want a refresher on the QGIS basics and getting acquainted with the latest QGIS 3.6 updates, Users who are interested to learn how to style Rastar and Vector data by choosing and managing different colors.

What you will learn

Create and manage a spatial database Get to know advanced techniques to style GIS data Prepare both vector and raster data for processing Add heat maps, live layer effects, and labels to your maps Master LAStools and GRASS integration with the Processing Toolbox Edit and repair topological data errors Automate workflows with batch processing and the QGIS Graphical Modeler Integrate Python scripting into your data processing workflows Develop your own QGIS plugins

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Free for first 7 days. ₹800 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

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Product Details

Publication date : Mar 28, 2019

Length: 466 pages

Edition : 3rd

Language : English

ISBN-13 : 9781788999892

Category :

Programming

Languages :

Python

Concepts :

Data Analysis

Tools :

QGIS

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16 Chapters

Section 1: Introduction

A Refreshing Look at QGIS

Release schedules

QGIS downloading and installation

Adding functionality with plugins

Summary

Section 2: Getting Started

Styling Raster and Vector Data

Choosing and managing colors

Managing color ramps

Styling multiband rasters

Raster color rendering

Raster resampling

Styling vectors

Vector layer rendering

Using diagrams to display thematic data

Saving, loading, and setting default styles

Summary

Creating Spatial Databases

Fundamental database concepts

Creating a spatial database

Connecting to a GeoPackage

Importing data into a GeoPackage

Working with tables

Exporting tables out of a GeoPackage

Creating queries and views

Summary

Preparing Vector Data for Processing

Merging vectors

Converting vector geometries

Adding geometry columns to an attribute table

Using basic vector Geoprocessing Tools

Defining coordinate reference systems

Advanced field calculations

Summary

Preparing Raster Data for Processing

Merging rasters

About converting raster files

Clipping a raster

Converting rasters into vectors

Converting from vector to raster (rasterize)

Reclassifying rasters

Summary

Section 3: Diving Deeper

Advanced Data Creation and Editing

What's new in editing?

Creating points from coordinate data

Geocoding address-based data

Georeferencing imagery

Checking the topology of vector data

Repairing topological errors via topological editing

Repairing an overlap between polygons

Example 3 – Repairing a gap between polygons

Summary

Advanced Data Visualization

Using live layer effects

Creating beautiful effects with inverted polygon shapeburst fills

Using the 2.5D renderer

Creating 3D views

Creating an Atlas

The power of geometry generators

Working with the Data Plotly plugin

Summary

Section 4: Becoming a Master

The Processing Toolbox

Introducing the Processing Toolbox

What's new in the Processing Toolbox?

Configuring the Processing Toolbox

Viewing the Processing Toolbox

Using the Processing Toolbox

Performing raster analysis with GRASS

Performing analysis using SAGA

Exploring hydrologic analysis with SAGA

Summary

Automating Workflows with the Graphical Modeler

Introducing the graphical modeler

Working with your model

Executing model algorithms iteratively

Nesting models

Using batch processing with models

Converting a model into a Python script

Summary

Creating QGIS Plugins with PyQGIS and Problem Solving

Webography - where to get API information and PyQGIS help

The Python Console

My second PyQGIS code snippet - looping the layer features

Exploring iface and QGis

Exploring a QGIS API in the Python Console

Creating a plugin structure with Plugin Builder

A simple plugin example

Setting up a debugging environment

Debugging session example

Summary

PyQGIS Scripting

Where to learn Python basics

How to load layers

Vector structure

Iterating over features

Editing features

Running Processing Toolbox algorithms

Interacting with the map canvas

Summary

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(1 Ratings)

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辻端和彦 Dec 05, 2020

洋書なので、これから読んでいきますが、読んでいけそうな気がする書籍です。

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About the 6 authors

Islam

Shammunul Islam is a consulting spatial data scientist at the Institute of Remote Sensing, Jahangirnagar University, and a senior consultant at ERI, Bangladesh. He develops applications for automating geospatial and statistical analysis in different domains such as in the fields of the environment, climate, and socio-economy. He also consults as a survey statistician and provides corporate training on data science to businesses. He holds an MA in Climate and Society from Columbia University, an MA in development studies, and a BSc in statistics.

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Miles

Simon Miles is a GIS developer working for the Royal Borough of Windsor and Maidenhead, and has been working in the GIS industry since 2003. He always works using open source technologies. His main kit includes QGIS, PostGIS, Python, GDAL, Leaflet, JavaScript, and PHP. His main focus is on digital delivery/transformation, chiefly through the consolidation of data, applications, and legacy systems, and replacing these with APIs and web applications. In 2013, He helped to establish the UK QGIS user group, which holds regional meetings two or three times a year.

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Van Hoesen, GISP

John Van Hoesen, GISP, is an associate professor of geology and environmental studies at Green Mountain College in rural west-central Vermont, USA. He has an MS and a Ph.D. in geology from the University of Nevada, Las Vegas. He is a certified GISP with a broad background in the geosciences and has used some flavor of GIS to evaluate and explore geological processes and environmental issues. John has taught graduate, undergraduate, and continuing education courses using some variants of FOSS GIS since 2003.

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Pirelli

Luigi Pirelli is a QGIS developer and software analyst with a degree in computer science from Bari University. He has worked in the Satellite Ground Segment and Direct Ingestion for the European Space Agency. He is involved in GFOSS world, contributing in QGIS, GRASS, & MapServer core, and developing QGIS plugins. Luigi is the founder of the OSGEO Italian local GFOSS chapter. He has taught PyQGIS, delivered training from basic to advanced levels, and supported companies to develop their own QGIS plugins. He founded a local hackerspace group-Bricolabs.cc. He likes training groups on conflict resolution. He contributed to the Lonely Planet guide Cycling Italy.

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Smith Jr., GISP

Richard Smith Jr., GISP, is an asst. professor of geographic information science in the School of Engineering and Computing Sciences at Texas A&M University, Corpus Christi. He has a Ph.D. in geography from the University of Georgia, MSc in computer science, and BSc in geographic information science from Texas A&M University, Corpus Christi. He researches in cartography, systems integration, and the use of geospatial technology for disaster response. He is an advocate for FOSS4G and building a FOSS4G curriculum. He is a co-author of the FOSS4G Academy.

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Kurt Menke, GISP

Kurt Menke, a certified GIS Professional (GISP), has been working in the GIS field since 1997. Prior to this, he worked as a professional archaeologist for 10 years in the American Southwest. He earned a master's degree (MA) in Geography from the University of New Mexico in 2000. That same year, he founded Bird's Eye View (www.BirdsEyeViewGIS.com) to apply his expertise with the GIS technology to the World's mounting ecological and social problems. Towards this end, Mr. Menke's work focuses largely on wildlife conservation and public health. His specialties are spatial analysis, modeling, and cartography. He is a longtime advocate of FOSS4G. He began writing MapServer applications in 2001 and has been using QGIS since 2007. He is one of the coauthors of the curriculum at the FOSS4G Academy

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Mastering Geospatial Development with QGIS 3.x: An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python , Third Edition

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