AI Blocks › Research a topic properly
Geospatial research analyst
Give it maps, satellite images or location data. Get a worked analysis of terrain, change or spatial patterns.
Geospatial research analyst is a free AI skill for the job "Research a topic properly". Give the instructions to an AI assistant that supports the required files and tools, then review its output.
Free · No account · MIT licence · Made by K-Dense · Level: advanced
Made by K-Dense. See the original on GitHub; we copied it as it is, with its licence.
What it does
Maps and satellite data turned into a worked analysis you can follow. Give it location data, rasters, vector files or satellite imagery and a question, such as how land cover changed or where terrain gets steep, and it builds the workflow and runs it. It starts by checking where each input came from and what coordinate system it uses. Then it picks the right path: vector or raster GIS, remote sensing, spatial statistics, terrain, road or network analysis, or machine learning on Earth observation data. Reference notes are loaded only for the task at hand. It needs Python with GeoPandas and Rasterio, and some paths need extra packages or service logins.
You give it
- Map, raster or location files
- The question you want answered
- The area and dates of interest (optional)
- Service credentials for imagery (optional)
You get
- A step-by-step analysis workflow
- Maps and result tables
- Notes on data source and projection
- Code you can rerun
Use it when
- You have satellite images and need to measure change over time.
- You have a map layer and want spatial patterns tested properly.
- You need terrain or slope results from elevation data.
- You want a route or network analysis for a region.
How to use it
- Add it to your AI once: download it and add the folder to Claude, ChatGPT or Codex as a skill.
- Ask for the job in your own words. Your AI opens the skill when it fits.
- It works best when your AI can run Python code and save files.