GoonIntroduction to DeepSeek for Mapping and GIS Tasks
DeepSeek is a revolutionary tool that is currently gaining significant attention due to its DeepSeek-R1 reasoning model, which is considered a direct rival to OpenAI's chatbot, ChatGPT. In this article, we will explore how to use DeepSeek to create maps instantly. We will cover a step-by-step guide to creating interactive maps with Python, using Folium for dynamic map visualizations, color-coding markers, and adding legends for better data interpretation.
Introduction to DeepSeek-R1 Model
The DeepSeek-R1 model is a large language model that is capable of retrieving data from web searches based on a specific request and generating! 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.
Setting Up the Task
Setting up the task, plotting the 20 most visited cities in the world on an interactive map
To set up the task, we simply need to head over to chat.deepseek.com and specify a simple task, such as plotting the 20 most visited cities in the world on an interactive map. We can also specify additional instructions, such as displaying the name of the city, its rank, and the number of visitors when we click on a point on the map.
Using DeepSeek-R1 Model
Using DeepSeek-R1 model to retrieve data and generate a spatial map
The DeepSeek-R1 model is capable of retrieving data from web searches and generating a spatial map using the Folium library in Python. The model can also analyze and select the most relevant data, even when conflicting information is present.
Integrating DeepSeek with Python
Integrating DeepSeek with Python, using Google Colab for coding
To integrate DeepSeek with Python, we can use Google Colab for coding. We simply need to copy the code generated by DeepSeek and paste it into a new cell in Google Colab.
Creating Interactive Maps with Folium
Creating interactive maps with Folium, displaying the top 20 most visited cities in the world
Folium is a Python library that allows us to create interactive maps. We can use Folium to display the top 20 most visited cities in the world on an interactive map.
Adding Color-Coding and Legends
Adding color-coding and legends to the map, displaying the top 5 most visited cities in red
To add color-coding and legends to the map, we can use Folium to define the colors according to our request. We can display the top 5 most visited cities in red, the next 5 in blue, the following 5 in green, and the last 5 cities in yellow.
Displaying City Information
Displaying city information, including the name of the city, its rank, and the number of visitors
When we click on a point on the map, we can display the city information, including the name of the city, its rank, and the number of visitors.
Accessing Google Colab
Accessing Google Colab, a simple coding environment
To access Google Colab, we can simply head over to Google Drive, go to the corresponding working folder, right-click, and select "Google Colab".
Running the Code
Running the code, installing the corresponding libraries and preparing the development environment
To run the code, we can simply copy the code generated by DeepSeek and paste it into a new cell in Google Colab. The code will install the corresponding libraries and prepare the development environment.
Displaying the Map
Displaying the map, plotting the top 20 most visited cities in the world
When we run the code, we can display the map, plotting the top 20 most visited cities in the world.
Color-Coding the Markers
Color-coding the markers, displaying the top 5 most visited cities in red
To color-code the markers, we can use Folium to define the colors according to our request. We can display the top 5 most visited cities in red, the next 5 in blue, the following 5 in green, and the last 5 cities in yellow.
Conclusion
In conclusion, DeepSeek is a powerful tool that can be used to create maps instantly. By integrating DeepSeek with Python and using Folium for dynamic map visualizations, we can create interactive maps that display the top 20 most visited cities in the world. We can also add color-coding and legends to the map to make it more informative. With DeepSeek, we can analyze and select the most relevant data, even when conflicting information is present.