Kmean clustering in Qgis (Attribute based clustering)

Practical GIS- Use Tools Such as QGIS, PostGIS and GeoServer to Build Powerful GIS Solution.

Preface 

In the past, professional spatial analysis in the business sector was equivalent to buying an ArcGIS license, storing the data in some kind of Esri database, and publishing results with the ArcGIS Server. These trends seem to be changing in the favor of open source software.

QGIS and Applications in Water and Risks

Contents
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi
Chapter 1. Monitoring Coastal Bathymetry Using Multispectral Satellite Images at High Spatial Resolution . . . . . . . 1 
Bertrand LUBAC

QGIS and Applications in Agriculture and Forest

Volume 2 

Edited by Nicolas Baghdadi 

Clément Mallet 

Mehrez Zribi 

Introduction 

Agriculture and forestry are fields strongly involved in the use of spatial data, which are essential for monitoring and restoring the spatial and temporal variability of surface states. The latter are key parameters in the understanding and modeling of different plant and soil processes, and in the management of agricultural or forest resources. A very good knowledge of these environments is therefore fundamental both from an economic and ecological point of view. Remote sensing, thanks to the great diversity of spatial (from precision agriculture to global crop monitoring), spectral (active and passive sensors) and temporal (from rapid mapping to annual crop monitoring) resolutions, has become an inevitable support to address these issues. In this context, the use of Geographic Information System (GIS) tools has long been present in accompanying the exploitation of spatial imagery.

Training Manual-Community Mapping and QGIS

A climate and disaster risk mapping toolkit for local communities

This document is a guide on the application of QGIS in community mapping. It aims to help communities understand the risks, vulnerabilities and their location in their communities. Communities can use it to collect, edit, store and display data from their communities. Created by: Siu I Fanga Pouvalu.

QGIS By Example

Preface 

Welcome to QGIS By Example. This book will help you understand the capabilities of QGIS, show you how to work with spatial data and perform the most common analyses, and bring your productivity to a new level with the Processing framework. 

Building Mapping Applications with QGIS

Preface of the Book

As software applications become more and more a part of people's lives, the concepts of location and space become more important. Developers are regularly finding themselves having to work with location-based data. Maps, geospatial data, and spatial calculations are increasingly becoming just another part of the everyday programming repertoire.

Qgis Tutorial eBook-Introduction to basic GIS and spatial analysis using QGIS.

This set of training modules was developed by the International Maize and Wheat Improvement Center (CIMMYT) as part of the Cereal Systems Initiative for South Asia (CSISA) project. Published in 2018.

Correct Citation: Ahmed, Z.U., Krupnik, T.J., Kamal, M., 2018. Introduction to basic GIS and spatial analysis using QGIS: Applications in Bangladesh. Cereal Systems Initiative for South Asia (CSISA) and the International Maize and Wheat Improvement Center, CIMMYT. Dhaka, Bangladesh. 

QGIS Training Manual Release 3.4

Background

In 2008 we launched the Gentle Introduction to GIS, a completely free, open content resource for people who want to learn about GIS without being overloaded with jargon and new terminology. It was sponsored by the South African government and has been a phenomenal success, with people all over the world writing to us to tell us how they are using the materials to run University Training Courses, teach themselves GIS and so on.

QGIS User Guide, Release 2.18

Foreword

QGIS is an Open Source Geographic Information System. The project was born in May of 2002 and was established as a project on Source Forge in June of the same year. We’ve worked hard to make GIS software (which is traditionally expensive proprietary software) a viable prospect for anyone with basic access to a personal computer. QGIS currently runs on most Unix platforms, Windows, and macOS. QGIS is developed using the Qt toolkit (https://www.qt.io) and C++. This means that QGIS feels snappy and has a pleasing, easy-to-use graphical user interface (GUI)

Semi-Automatic Classification Plugin for Qgis

Version 5.3.6.1

SCP

Developed by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) is a free open source plugin for QGIS that allows for the semi-automatic classification (also known as supervised classification) of remote sensing images. 

SCP

It provides several tools for the download of free images, the preprocessing, the postprocessing, and the raster calculation (please see What can I do with the SCP ? (page 257)). The overall objective of SCP is to provide a set of intertwined tools for raster processing in order to make an automatic workflow and ease the land cover classification, which could be performed also by people whose main field is not remote sensing. 

Land Cover Mapping and Classification Accuracy Assessment in QGIS

The main goals of this Module are to become familiar with QGIS, an open source GIS software;

 construct a single-date land cover map by classification of a cloud-free composite generated from Landsat images; and complete an accuracy assessment of the map output. The tools for completing this work will be done using a suite of open-source tools, mostly focusing on QGIS.
The land cover map will be created by training a machine learning algorithm, random forests, to predict land cover across the landscape. The random forests model is trained from a user generated reference data set – collected either in the field or manually through examination of remotely sensed data sources.

The resulting model is then applied across the landscape. Finally you will assess agreement with a second reference data set generated using a stratified random sampling process and high resolution aerial imagery.

The reference data set will be compared to the classified map image to determine the accuracy estimates. Modules 3 and 4 have been adapted from Exercises and material developed by Dr. Pontus Olofsson, Christopher E. Holden, and Eric L. Bullock at the Boston Education in Earth Observation Data Analysis in the Department of Earth & Environment, Boston University. To learn more about their materials and
their work, visit their github site at https://github.com/beeoda

Introduction
The tools for completing the workflow in this module are all open-source; QGIS is the primary tool used to complete both the land cover map and land cover change map workflow. A QGIS install was created from the OSGeo4W and is included on the website for download.
It includes these additional packages:
 GDAL
 Orfeo ToolBox
 QGIS
 Python

Objectives
 Explore the QGIS Terminal
 Create a false color image from the SWIR, NIR, and Red bands from the cloud free Landsat composite image,
 Stack image bands, and
 Do some basic image band arithmetic.

Download Link

http://bit.ly/2Xq2eMf

QGIS Tutorial for Agrometeorological Practice

QGIS Tutorial for Agrometeorological Practice

The International Workshop on Agromet and GIS Applications for Agricultural Decision Making 

Date : December 5(Mon)~9(Fri), 2016 

Place : MSTAY Hotel JEJU 

Free Download QGIS Training Manual

This training manual is intended to provide all the materials needed to run a 5 day course on QGIS, PostgreSQL and PostGIS. The course is structured with content to suit novice, intermediate and advanced users alike and has many exercises complete with annotated answers throughout the text.

Download Link

QGIS Training Manual

Exercises Open Source Software for Preprocessing GIS Data for Hydrological Models

Preface 

A Geographic Information System (GIS) can be a useful tool for preparing the input of models and tools. Furthermore, in this era of Open Data ample open access data is available that can easily be retrieved from the internet and integrated in open source desktop GIS software, such as QGIS. These exercises will guide you through different steps that are needed to preprocess data to be used in models and tools. In the first exercise you will learn how to register a scanned topographic map and use it as a backdrop for digitizing vector data. 

In the second exercise you will learn how to import data from spreadsheets into a GIS and to use it to join tables, manipulate the attribute table and interpolating the data to a continuous raster layer. In the third exercise you will download open access data from Open Street Map and use it for further analysis and conversion. The geodatabase will also be introduced in this exercise. In the fourth exercise you will use map algebra for spatial planning. 

Finally, you will learn how to delineate catchments and streams form digital elevation models and to present them in maps or in an interactive web page. The exercises have been developed for different MSc programmes at IHE Delft and tailor made training in Uganda, financed by the Vitens Evides International (VEI) fund. 

Learning objectives 

After following this step-by-step tutorial you will be able to: 

 Use QGIS in its main functionalities, also in conjunction with plugins 

Digitize features from a scanned map or satellite image 

Import tabular data in a GIS 

Do simple vector analysis 

Interpolate point data 

Convert vector and raster data 

Reproject vector and raster data 

Use map algebra 

Use online data 

Perform catchment and stream delineation

Software requirements 

During the next exercises we will make use of the following software: 

QGIS ver 2.18.11 (Las Palmas) or higher, 

Google Earth, 

Firefox Mozilla 

MS Excel or OpenOffice Calc

Preparation 

The exercises have been tested for QGIS 2.18.11. 

1) Download QGIS from http://www.qgis.org/en/site/forusers/download.html 

2) Install QGIS 

3) Install the exercise data from http://ocw.unesco-ihe.org

Download Link

http://bit.ly/2SJm2vn