ArcGIS and QGIS are powerful but inaccessible. A council officer or consultant shouldn't need a qualification to show where the trees are.
02
Analysis and presentation are disconnected
Analysts run their models in R or Python, export to QGIS, screenshot to PowerPoint. Every step loses fidelity and adds hours.
03
Spatial data doesn't tell stories
Raw feature attributes mean nothing to a decision-maker. The insight is in the annotation, the context, the narrative — which no GIS tool supports.
Features
Everything you need. Nothing you don't.
Carse is deliberately scoped — built for the analyst who needs to produce, not configure.
Data upload & ingest
Drag and drop GeoPackage, GeoJSON, or CSV files. Large datasets are chunked and loaded progressively. No file size anxiety.
Interactive map
Pan, zoom, hover. Features highlight on interaction. Multiple layers render with full depth control — opacity, colour, order.
Choropleth visualisation
Apply data-driven colour gradients to any polygon or point layer. Switch fields instantly. No configuration files.
Feature inspection
Click any feature to see all its attributes. Every column from your original dataset, displayed cleanly in a side panel.
Annotation & authoring
Attach headings, rich text, and images to individual features. Annotations persist to the cloud and reappear as map markers.
Attribute table
Browse the full feature set in a synced table view. Click a row to highlight it on the map. Sort by any column.
How it works
From raw data to presented insight.
01
Upload
Drag a GeoPackage, GeoJSON, or CSV onto the layer panel. Carse ingests it, detects geometry type, and adds it to your map.
02
Visualise
Style layers with custom colours, adjust opacity, and apply choropleth colouring based on any numeric attribute in your data.
03
Annotate
Click features to inspect them. Add headings, text, and images to the features that matter. Annotations appear as markers on the map.
04
Present
Your project saves automatically. Return any time and pick up where you left off — all layers, styles, and annotations intact.
Use cases
Urban Forestry
Canopy coverage analysis for local authorities
Upload ward-level tree survey data, apply choropleth colouring by canopy percentage, and annotate priority areas with management recommendations for council presentation.
Environmental Consultancy
Habitat mapping for planning applications
Layer habitat classification data over site boundaries, annotate ecologically sensitive zones with survey notes and photographic evidence, and present findings to planning officers.
Spatial Research
Geographic data exploration and reporting
Load census or administrative boundary data, explore attribute distributions through the table view, and build annotated map narratives for academic or policy audiences.
Public Sector
Infrastructure and asset visualisation
Map asset locations across a borough, annotate maintenance priorities, and share a clear visual picture of where resources are needed — without a GIS team.