GMT 456 GIS Programming

This repository contains sample data, information and code about the "GMT 456 GIS Programming" course offered at the Geomatics Engineering Dept. of Hacettepe University, Turkey.

The aim of this course is to teach students how to collaborate on a software project involving spatial analysis by using git.

The successful students would:

• Describe the Software Design Life Cycle (SDLC) phases,
• Document the design and requirements of the software project that s/he worked on,
• Demonstrate the ability to work as a team for the purpose of developing a new or updating an existing QGIS plugin.

Contents:

• Object oriented programming - recap
  • Function Calls – pass by reference vs pass by value
• Data structures (arrays, linked lists, graphs) - recap
• Qt Designer
  • Signal- Slot
• Google Earth Engine
• Building a QGIS Plugin

Assignment 1 (deadline: 16 Oct):

You will be submitting your README.md files on the comparison of different SDLC methodologies to this address: https://classroom.github.com/a/Wnp3Y_Qw

Software:

• QGIS 3.x
• Anaconda Individual Edition
  • Spyder Integrated Development Environment (IDE) for Python scripting

Resources:

• Software Engineering

  • PEP 8 Style Guide
  • A Comparison between Agile and Traditional Software Development Methodologies

• Google Earth Engine

  • Google Earth Engine - Beginner's Cookbook

• Git

  • Git Cheat Sheet - from GitHub
  • Saving Changes - add vs commit
  • Learning Git 101 by Yasoob Khalid

• Git GUI

  • GitKraken
  • Pretty git branch graphs
    • JSFiddle
    • Git Grapher
    • Commits Graph
    • Gitinspector - statistical analysis on a repo

• Sphinx

  • Brandon’s Sphinx Tutorial

• GitHub

  • GitHub Campus Advisor Training
  • Understanding the GitHub flow
  • Using Markdown
    • GitHub Flavored Markdown
  • Workflow

• QGIS

  • Plugin Builder

• spatialthoughts

  • PyQGIS in a Day
  • Part 1: Building a Python Plugin (QGIS3)
  • Part 2: Building a Processing Plugin (QGIS3)

• Book: Geoprocessing with Python

• Book: Applied Spatial Data Analysis with R

• Book: Introduction to GIS Programming and Fundamentals with Python and ArcGIS

• Book: The PyQGIS Programmer's Guide: Extending QGIS 3 with Python