Enroll Course: https://www.udemy.com/course/networkx-ve-osmnx-ile-pythonda-ulasm-ag-analizi/
Are you interested in delving into the fascinating world of transportation network analysis? If you’re working with Geographic Information Systems (GIS) or Spatial Data Science, understanding how to analyze and model complex networks is crucial. This Udemy course, ‘NetworkX ve OSMnx ile Python’da Ulaşım Ağı Analizi’ (Transportation Network Analysis in Python with NetworkX and OSMnx), offers a comprehensive journey into this specialized field.
The course aims to equip you with both the theoretical foundations and practical skills needed for network analysis, a vital subset of spatial analysis. The instructor has thoughtfully separated this extensive topic into its own dedicated course, ensuring a focused and in-depth learning experience.
At its core, the course leverages two powerful Python libraries: NetworkX and OSMnx. NetworkX is your go-to for all things network-related in Python, allowing you to create, manipulate, and analyze networks with ease. What sets this course apart is the integration of OSMnx. Unlike standard, non-geographic networks, OSMnx enables you to work specifically with road networks by seamlessly pulling data from OpenStreetMap. This makes analyzing real-world road infrastructure incredibly straightforward.
The syllabus covers a wide array of 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, define coordinate systems, and visualize networks.
* The Dijkstra algorithm.
* Centrality measures.
* Connected components.
* Service area analysis.
* The Traveling Salesperson Problem.
What’s particularly commendable is that the course provides practical applications for almost every topic, utilizing both NetworkX graphs and OSM road data. While the solution to the Traveling Salesperson Problem using OSM road data is presented in an article format due to its complexity and time requirements, the accompanying videos offer thorough explanations.
If you’re looking to enhance your spatial analysis toolkit and gain practical experience in transportation network modeling, this course is a highly recommended resource. It strikes an excellent balance between theory and hands-on coding, making it accessible for those new to the subject while still offering depth for more experienced learners.
Enroll Course: https://www.udemy.com/course/networkx-ve-osmnx-ile-pythonda-ulasm-ag-analizi/