In this video, you will learn how to use DeepSeek to create maps instantly. DeepSeek is currently gaining significant attention because its DeepSeek-R1 reasoning model is now considered a direct rival to OpenAI’s revolutionary chatbot, ChatGPT.
In this tutorial, the DeepSeek-R1 model retrieves data from web searches based on a specific request and then generates a spatial map using the Folium library in Python. DeepSeek leverages its reasoning model (DeepSeek-R1) to analyze and select the most relevant data, even when conflicting information is present. Here’s what you’ll learn in this video:
1. How to integrate DeepSeek for mapping and GIS tasks
2. A step-by-step guide to creating interactive maps with Python
3. Using Folium for dynamic map visualizations
4. Color-coding markers and adding legends for better data interpretation
5. Practical applications of AI tools like DeepSeek for geospatial analysis
For this tutorial, we use the DeepSeek-R1 model as the AI tool for data insights, Python for scripting, Folium for interactive maps, and Google Colab for coding.
Keywords:
DeepSeek for GIS, DeepSeek, GIS mapping, Python interactive maps, AI for GIS, Python mapping tutorial, mapping with AI, Python data science, DeepSeek AI tutorial, DeepSeek vs ChatGPT, DeepSeek vs Open AI
