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The GIS where maps make themselves.

Drop in data, or plug in a phone, GPS, drone card or sensor logger. GeoSpaX styles it, analyses it, lays out the map and writes the report. When you want control, a full professional workbench is one click away.

Download for free Try the web demo →

Windows · Linux · Android · Web / Open source · MIT / Works offline

GeoSpaX Pro: every building, road and place of central Lae, Papua New Guinea (Overture Maps), styled by type, with street and place names, over Esri World Imagery

1,130analysis tools

12domain plugins

40+open data sources

4platforms

0uploads unless you choose

Open data, cut to your area, with citations

Copernicus DEMESA WorldCoverOverture MapsWorldClimCHELSASoilGridsGBIFOBISGEBCOGADMHansen Forest ChangeUSGS 3DEP LiDARAlphaEarthEsri World Imagery

The platform

Everything a GIS does. Without the hours.

See every feature →

Maps that style themselves

AutoMap picks the field, classes and colours, and tells you why. Full symbology for points, lines, polygons, labels and rasters when you want your own.

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About 1,130 tools

Vector, raster, terrain, hydrology, imagery and LiDAR in one Toolbox, plus hot spots and kriging.

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Data from anywhere

Files, phones, GPS and drones, and online data clipped to the map, cited for you.

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Finished outputs

Layouts with legend, scale bar and north arrow; 150–1200 dpi PNG, vector PDF, SVG and a Word report.

Design and CAD

Roads from a centreline, lots, dimensions and traverses. DXF to and from AutoCAD.

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Automation

Every result is a re-runnable recipe, triggered by a device, a folder, a schedule or a sensor.

R, Python and AI

R and Python as recipe steps, ggplot2-style charts, an assistant and an MCP server.

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Private by default

Everything runs on your own computer and works offline. Nothing leaves it unless you choose to share.

Two modes, one engine

Lazy or Pro. Same map, your controls.

GeoSpaX Lazy mode: layer cards, a task bar and next steps — **Lazy.** Layer cards that say what each layer shows and why, a task bar, and one-click next steps.

How it works

From raw data to a finished map in four steps.

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Bring data
Drop files, plug in a device, or fetch open data for the area on the map.
02
It styles itself
Colours, classes and labels chosen for what the data is, with the reason shown.
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Find patterns
Hot spots, terrain, catchments, networks and classification in a click.
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Finish
Layout, PNG, PDF, SVG and a Word report, ready to send.

Print-quality 3D

Mount Wilhelm, 4,509 m.

The Copernicus 30 m elevation model with satellite imagery placed pixel by pixel, ray-traced shadows and ambient occlusion, rendered in R with rayshader. One analysis, no code.

Imagery warped onto the DEM's own grid
Title, north arrow, size and sources on the picture
Flat shaded relief and a report alongside

3D relief of Mount Wilhelm, Papua New Guinea, rendered with rayshader over satellite imagery

Showcase

Real data, real places.

Around Lae and the Huon Gulf, Papua New Guinea, over Esri World Imagery. Click a map to enlarge it.

Strahler-ordered streams and drainage basins — **Rivers and catchments.** 1,674 stream links by Strahler order and 7 drainage basins of the Markham valley.

Supervised land-cover classification — **Supervised classification.** Nine classes from AlphaEarth embeddings; 80.3 % accuracy.

LiDAR buildings of San Francisco in 3D — **LiDAR in 3D.** 23 million points gridded in 12 seconds.

Lae streets within 500 m, 1 km and 2 km of a hospital or clinic — **Network analysis.** Every street in Lae within 500 m, 1 km or 2 km by road of 16 hospitals and clinics.

Swipe: core forest on one side of the divider, imagery on the other — **Swipe and Spyglass.** Check a result against the ground: the map with and without a layer, side by side or through a lens.

The time slider adding up bird records around Lae by year — **Time slider.** Watch 33 years of bird records build up, or play any layer with a date field by year, month or day.

Copernicus DEM of Mount Wilhelm — **Elevation in seconds.** The 30 m DEM of Mount Wilhelm, tinted green to white.

Mount Wilhelm DEM as 3D terrain — **…and in 3D.** One click raises the DEM as live terrain.

Elevation profile. Draw a line, get a linked distance and elevation chart. Lae coast to the Saruwaged Range: 39.1 km, 0 to 1,726 m, 4,684 m total climb.

Industry maps

Real places, real basemaps. Print-ready maps.

One finished map per industry kit, on real Papua New Guinea locations, with legend, scale bar, north arrow, grid and credits. Illustrative or simulated data is marked. Click a map to enlarge it.