DeepSeek AI to Create Maps Effortlessly with Python
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.
Prompt:
I want to plot the 20 most visited cities in the world on an interactive map. Clicking on a point should the name of the city, its rank, and the number of visitors. I will be using Python in Google Colab for this.
I want to color the markers based on the Ranks, 1-5 in red, 6-10 in blue, 11-15 in green, 16-20 in purple. Display the legend that shows the categorization on the lower right corner of the screen.
我想在互動式地圖上繪製世界上 20 個訪問量最大的城市。 點擊某個點應顯示城市的名稱、排名和訪客數量。 為此，我將在 Google Colab 中使用 Python。
我想根據排名為標記著色，1-5 為紅色，6-10 為藍色，11-15 為綠色，16-20 為紫色。 在螢幕右下角顯示顯示分類的圖例。
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