From raw geometry to decisions

The core methods of professional spatial analysis (proximity, overlay, network, cluster and surface analysis) operationalised in Gisify for everyday decision-making.

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Aerial view of a planned Malaysian city with a roundabout, boulevards, a lake and domed civic buildings

Overview

Spatial analysis is the craft of asking 'where' questions rigorously: What is near what? What overlaps? What's the best route? Where do incidents cluster? Mapify brings the discipline's common practices, the same methods used by GIS professionals worldwide, into Gisify, so analysts and decision-makers work from one governed platform.

Each method below is available on your own data layers, with results that land back on the map as shareable, auditable layers, not screenshots in a slide deck.

At a glance

6: core analysis practices, one platform
100%: results saved as governed map layers
Live: analysis on streaming feeds, not just archives
No-code: guided workflows for non-specialists

Common practices, on tap

Buffer & proximity analysis
Distance bands around assets, sites and corridors: who and what falls within reach, for planning and impact assessment.
Overlay & suitability analysis
Stack constraint and opportunity layers to score land for development, conservation or infrastructure siting.
Network analysis
Shortest routes, service areas and closest-facility analysis over real road networks. Logistics and coverage, answered properly.
Hotspot & cluster analysis
Statistically sound detection of where incidents, demand or risk concentrate, beyond what the eye picks out of a dot map.
Interpolation & surface modelling
Turn scattered readings of rainfall, pollution and soil into continuous surfaces that show the picture between the sample points.
Geocoding & spatio-temporal analysis
Put addresses and events on the map, then watch how patterns move and change over time.