From spatial database design to thematic cartography and advanced spatial modelling — we transform raw geographic data into decision-ready intelligence for planning, governance, and enterprise applications.
GIS (Geographic Information Systems) analysis is the process of capturing, storing, manipulating, analysing, and presenting geographic data. At Planora, we build GIS solutions that answer the fundamental question every organisation faces: "Where does this happen, and what does that mean?"
Our GIS team works across the full stack — from enterprise geodatabase design in ArcGIS and PostGIS, to advanced spatial modelling (network analysis, hydrological modelling, viewshed analysis), to beautiful print-ready and web-interactive cartography.
We serve government planning departments, infrastructure agencies, NGOs, and private enterprises with customised GIS workflows, spatial data management, and analytical dashboards that make complex spatial information immediately understandable.
Our spatial databases have supported projects ranging from Pune Smart City Master Plan to Western Ghats Eco-Sensitivity Mapping for the Ministry of Environment.
Master plan mapping, land use zoning, density analysis, transportation network modelling, and urban growth simulation.
Road network inventory, bridge condition mapping, utility line GIS, and asset management for maintenance planning.
Habitat mapping, biodiversity corridors, pollution dispersion modelling, EIA spatial analysis, and eco-sensitivity zoning.
Catchment delineation, stream order mapping, flood zone mapping, and water resource allocation GIS models.
Population density mapping, service area analysis, retail catchment modelling, and socio-economic spatial reporting.
Cadastral GIS databases, mutation records, digitisation of land revenue records, and SVAMITVA property mapping.
Multi-hazard risk assessment, vulnerability mapping, evacuation route planning, and emergency response GIS.
Solar irradiance mapping, wind resource GIS, land suitability analysis for solar parks and wind farm planning.
We study client objectives and identify required spatial questions, data needs, analysis workflows, and deliverable formats before any data collection begins.
Collecting base data from surveys, satellite imagery, government open data, OSM, and client records. All data undergoes format normalisation and coordinate system harmonisation.
Designing a logical spatial database schema with feature classes, topology rules, relationship classes, and metadata standards — built in ArcGIS GDB, PostgreSQL/PostGIS, or QGIS GeoPackage.
Running geoprocessing workflows, Python/R scripting for custom analyses, overlay operations, network analysis, and spatial statistical modelling as defined in the scope.
Designing professional map layouts — symbology, colour ramps, legends, scale bars, north arrows, and metadata blocks — for both print (A0–A3) and screen/web output.
Final GIS datasets, maps, and reports delivered with full data dictionary, methodology documentation, and optional client training sessions for GIS software use.
Our GIS models are built with reproducibility in mind — every analysis is documented, scriptable, and updatable as new data arrives.
Industry-standard GIS platform for enterprise geodatabases, advanced spatial analysis, and professional cartography.
Full ArcGIS Enterprise stackPowerful open-source GIS for client-owned deployments, plugin-based custom workflows, and collaborative projects.
300+ built-in analysis toolsSpatial relational database for storing, querying, and serving large geographic datasets with full SQL support.
Handles 100M+ feature datasetsData transformation platform for converting, integrating, and automating GIS data workflows across 400+ formats.
ETL for 400+ spatial formatsOpen-source geospatial servers for publishing WMS, WFS, WCS, and WMTS services to web GIS applications.
OGC-compliant web servicesScripted spatial analysis, batch processing, ML integration, and workflow automation using Python geospatial stack.
GDAL / OGR / Fiona / Rasterio