The four pillars

Create, Load, Analyze, and Visualize — the four stages of all GIS, and how Geo-Intellisense delivers each agentically versus traditional GIS.

All GIS rests on four pillars — Create, Load, Analyze, Visualize. Geo-Intellisense is built around them and supports the full range of work — vector, raster, and remote sensing alike. A single request can touch one pillar or all four: you ask once, and the agents work through whichever it needs.

Traditional GIS vs Geo-Intellisense

PillarTraditional GISGeo-Intellisense
CreateHand-digitize features, geocode lists, and build geometry manually — tool by tool.Describe it in plain English; the Spatial Agent plans, executes, and computes deterministic data — or use the draw tools to digitize directly on the map.
LoadHunt for files, convert formats, fix projections, and wire up each connection.Upload, paste a URL, or let the Data Agent fetch from MCP and open catalogs — reprojected and unified automatically, at any scale.
AnalyzeAssemble tools, write scripts, manage runtimes, and run jobs on your own machine.Ask in plain English; the Spatial Agent runs vector, raster, and remote-sensing analysis on server-side runtimes — you just get the answer.
VisualizeHand-style layers, tune class breaks, and build legends one by one.The Cartographer Agent produces presentation-ready maps automatically — choropleth, heatmap, 3D, time — ready to share or export.

Create

Bring new data into existence from a description:

  • Boundaries from a place or a drawn area.
  • Points from a pasted list or a CSV with coordinates.
  • Grids & tessellations such as H3 hexagons or fishnets.
  • Derived geometry like buffers and isochrones.
  • Samples and interpolated surfaces from existing data.
  • New fields computed onto existing features.

Load

Open existing data from anywhere:

  • Upload files and folders from your machine.
  • Paste a service URL to connect to remote sources directly.
  • Pull from authoritative catalogs — open data and MCP servers the Data Agent already knows.

Sources are brought into a single, consistent view, so they line up on the same map regardless of where they came from. (See Data & formats.)

Analyze

Turn data into answers:

  • Proximity & buffers — what’s near what.
  • Watershed delineation — catchments and flow.
  • Spatial joins — relate features by location.
  • Clip, dissolve, and aggregate — reshape and summarize.
  • Hotspot detection — where things cluster.
  • Raster analysis — terrain, surfaces, and map algebra.
  • Remote sensing — imagery indices and change over time, from an open data catalog.

Visualize

Produce presentation-ready cartography automatically:

  • Choropleths shaded by a value.
  • Heatmaps and density surfaces.
  • 3D extrusions and time animation.
  • Auto-cartography — the Cartographer Agent reads a layer’s distribution and picks a sensible style, with a legend.