Here are a few sample prompts to help you get started once you have uploaded your raster and vector files:
Table & Attribute Operations
Read Data: "Read the building footprint dataset, display the attribute table, and summarize the key fields."
Split Data: "Split the building footprint dataset into separate layers based on a specific category attribute."
Append Data: "Append the selected building subsets into a single, consolidated dataset."
Vector Operations
Buffer: "Create a 3-meter buffer around the road network."
Masking: "Apply a mask on the raster layer using the road buffer."
Vector Clip: "Select a specific census tract polygon and use it to clip the building footprint dataset."
Buffer & Select: "Create a 500-meter buffer around all school points, and select the building footprints that fall within that buffer."
Point in Polygon: "Count the number of school points that fall within each census tract polygon and generate a summary table."
Select by Location: "Select all building footprints that intersect the road buffer."
Spatial Join: "Create a 50-meter buffer around each building footprint, then perform a spatial join with the road network to link buildings to their closest roads."
Erase: "Erase any building footprints that fall within a 10-meter buffer of the coastline."
Near / Proximity: "Calculate the distance from each building footprint to the coastline and save the result as a new field in the table."
Raster Operations
Raster Clip: "Clip the raster using the selected census tract polygon."
NDVI Calculation: "Calculate the NDVI using the standard formula: (NIR - Red) / (NIR + Red)."
FCC Composite: "Create a False Color Composite (FCC) raster by assigning the near-infrared band to Red, the Red band to Green, and the Green band to Blue."
Raster Reclassification: "Reclassify the NDVI raster into four distinct classes: water, built-up, sparse vegetation, and dense vegetation."
Zonal Statistics: "Calculate the mean elevation value for each building footprint using zonal statistics."