Enroll Course: https://www.udemy.com/course/networkx-ve-osmnx-ile-pythonda-ulasm-ag-analizi/
Are you fascinated by how cities function, how people move, and how to optimize urban infrastructure? If so, the “NetworkX ve OSMnx ile Python’da Ulaşım Ağı Analizi” course on Udemy is an absolute must-have for your learning journey. This comprehensive course delves into the powerful world of network analysis, a critical subset of spatial analysis, and equips you with the practical skills to apply it using Python.
The course expertly guides you through the theoretical underpinnings and practical applications of network analysis. It recognizes that network analysis is a vast field, deserving its own dedicated exploration, separate from broader spatial analysis topics. At its core, the course leverages two incredibly powerful Python libraries: NetworkX and OSMnx.
NetworkX, a versatile library, is your go-to for all things network-related in Python. You’ll learn to construct, manipulate, and analyze networks with ease. But where OSMnx truly shines is in its ability to bridge the gap between abstract network structures and real-world geographical data. Instead of working with generic graphs, OSMnx allows you to focus on road networks, making spatial analysis tangible and directly applicable to urban planning and transportation studies. The ease with which you can pull road data directly from OpenStreetMap and perform analyses is a game-changer.
The syllabus is packed with essential topics, including:
* The fundamentals and application areas of network analysis.
* Graph theory basics: creating networks, adding/removing nodes and edges, defining and viewing attributes, and network visualization.
* Different types of graphs.
* Downloading OpenStreetMap data.
* Using OSMnx to download road data for specific regions, defining coordinate systems, and visualization.
* The Dijkstra algorithm.
* Centrality measures.
* Connected components.
* Service area analysis.
* The Traveling Salesperson Problem.
What sets this course apart is its commitment to practical application. For almost every topic covered, you’ll find hands-on exercises using both NetworkX graphs and real-world OSM road data. While the solution to the Traveling Salesperson Problem with OSM road data is provided in an article format due to its computational intensity, rest assured that all necessary explanations are thoroughly covered in the video lectures.
If you’re involved in Geographic Information Systems (GIS), spatial data science, or are looking to incorporate advanced network analysis into your work, this course is an invaluable resource. It provides the knowledge and tools to understand, model, and optimize the complex transportation networks that form the backbone of our cities.
Enroll Course: https://www.udemy.com/course/networkx-ve-osmnx-ile-pythonda-ulasm-ag-analizi/